"ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)", Kartik Singhal (IIIT Delhi), Gautam Shroff (IIIT Delhi), AAAI 2025
"Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class", Swetha M (Indian Institute Of Technology, Bombay), Annie D`souza (Indian Institute Of Technology, Bombay), Sunita Sarawagi (Indian Institute Of Technology, Bombay), AAAI 2024
"Well, now we know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning", Gopendra Sinmgh (IIT Patna), Mauajama Firdaus (University Of Alberta), Dushyant Singh Chauhan (IIT Patna), Asif Ekbal (IIT Patna), Pushpak Bhattacharyya (IIT Bombay), AAAI 2024
"IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning", Abhinav Joshi (IIT Kanpur), Shounak Paul (IIT Kharagpur), Akshat Sharma (IIT Kanpur), Pawan Goyal (IIT Kharagpur), Saptarshi Ghosh (IIT Kharagpur), Ashutosh Modi (IIT Kanpur), ACL 2024
"Commentator: A Code-mixed Multilingual Text Annotation Framework", Rajvee Sheth (Indian Institute Of Technology Gandhinagar), Shubh Nisar (North Carolina State University), Heenaben Prajapati (Indian Institute Of Technology Gandhinagar), Himanshu Beniwal (Indian Institute Of Technology Gandhinagar), Mayank Singh (Indian Institute Of Technology Gandhinagar), EMNLP 2024
"CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free-Word-Ordered and Morphologically-Rich Low-Resource Languages", Pretam Ray (Indian Institute Of Technology Kharagpur), Jivnesh Sandhan (Indian Institute Of Technology Dharwad), Amrith Krishna (Independent Researcher), Pawan Goyal (Indian Institute Of Technology Kharagpur), EMNLP 2024
"Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models", Himanshu Beniwal (Indian Institute Of Technology Gandhinagar), Dishant Patel (Indian Institute Of Technology Gandhinagar), Kowsik Nandagopan D (Indian Institute Of Technology Gandhinagar), Hritik Ladia (Indian Institute Of Technology Gandhinagar), Ankit Yadav (Indian Institute Of Technology Gandhinagar), Mayank Singh (Indian Institute Of Technology Gandhinagar), EMNLP 2024
"User Inference Attacks on Large Language Models", Nikhil Kandpal (University Of Toronto), Krishna Pillutla (IIT Madras), Alina Oprea (Northeastern University), Peter Kairouz (Google), Christopher A. Choquette-Choo (Google), Zheng Xu (Google), EMNLP 2024
"YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models", Abhilash Nandy (Indian Institute Of Technology Kharagpur), Yash Agarwal (Indian Institute Of Technology Kharagpur), Ashish Patwa (Indian Institute Of Technology Kharagpur), Millon Madhur Das (Indian Institute Of Technology Kharagpur), Aman Bansal (University Of Massachusetts), Ankit Raj (Haldia Institute Of Technology), Pawan Goyal (Indian Institute Of Technology Kharagpur), Niloy Ganguly (Indian Institute Of Technology Kharagpur), EMNLP 2024
"Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy", Krishnamurthy Dvijotham (ServiceNow Research), H. Brendan McMahan (Google Research), Krishna Pillutla (IIT Madras), Thomas Steinke (Google DeepMind), Abhradeep Thakurta (Google DeepMind), FOCS 2024
"Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment", Garvit Chugh (Department Of Computer Science And Engineering, Indian Institute Of Technology, Jodhpur, India), Indrajeet Ghosh (Department Of Information Systems, University Of Maryland, Baltimore County, United States), Abu Zaher Md Faridee (Amazon, United States), Nirmalya Roy (Department Of Information Systems, University Of Maryland, Baltimore County, United States), ICDM 2024
"Distributionally Robust Optimization with Bias and Variance Reduction", Ronak Mehta (University Of Washington), Vincent Roulet (Google), Krishna Pillutla (IIT Madras), Zaid Harchaoui (University Of Washington), ICLR 2024
"MiMiC: Minimally Modified Counterfactuals in the Representation Space.", Shashwat Singh (IIIT Hyderabad), Shauli Ravfogel (Bar-Ilan University), Jonathan Herzig (Google Research), Roee Aharoni (Google Research), Ryan Cotterell (ETH Zurich), Ponnurangam Kumaraguru (IIIT Hyderabad), ICML 2024
"The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning", Nathaniel Li (University Of California, Berkeley), Alexander Pan (University Of California, Berkeley), Anjali Gopal (Massachusetts Institute Of Technology), Summer Yue (Scale AI), Shashwat Goel (IIIT Hyderabad), Ponnurangam Kumaraguru (IIIT Hyderabad), Dan Hendrycks (Center For AI Safety), ICML 2024
"Individual Fairness under Group Fairness Constraints in Bipartite Matching - One Framework to Approximate Them All", Atasi Panda (Indian Institute Of Science), Anand Louis (Indian Institute Of Science), Prajakta Nimbhorkar (Chennai Mathematical Institute), IJCAI 2024
"Random Representations Outperform Online Continually Learned Representations", Ameya Prabhu (University Of Oxford), Shiven Sinha (IIIT Hyderabad), Ponnurangam Kumaraguru (IIIT Hyderabad), Philip H.S. Torr (University Of Oxford), Ozan Sener (Apple), Puneet K. Dokania (University Of Oxford), NeurIPS 2024
"Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods", Shounak Paul (IIT Kharagpur), Rajas Bhatt (IIT Kharagpur), Pawan Goyal (IIT Kharagpur), Saptarshi Ghosh (IIT Kharagpur), SIGIR 2024
"Adaptive mixing of auxiliary losses in supervised learning", Durga Sivasubramanian (IIT Bombay), Ayush Maheshwari (IIT Bombay), Prathosh AP (IISc), Pradeep Shenoy (Google Research India), Ganesh Ramakrishnan (IIT Bombay), AAAI 2023
"Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher", Vikram S Chundawat (Mavvex Labs, India), Ayush K Tarun (Mavvex Labs, India), Murari Mandal (Kalinga Institute Of Industrial Technology, Bhubaneswar, India), Mohan Kankanhalli (National University Of Singapore, Singapore), AAAI 2023
"City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC", Shreevignesh Suriyanarayanan (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), Girish Varma (IIIT Hyderabad), AAAI 2023
"Clustering What Matters: Optimal Approximation for Clustering with Outliers", Akanksha Agrawal (Indian Institute Of Technology Madras), Tanmay Inamdar (University Of Bergen), Saket Saurabh (Institute Of Mathematical Sciences), Jie Xue (NYU Shanghai), AAAI 2023
"Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation", Sankarshan Damle (Machine Learning Lab, International Institute Of Information Technology, Hyderabad), Manisha Padala (Machine Learning Lab, International Institute Of Information Technology, Hyderabad), Sujit Gujar (Machine Learning Laboratory, International Institute Of Information Technology, Hyderabad), AAAI 2023
"Corruption-tolerant Algorithms for Generalized Linear Models", Bhaskar Mukhoty (IIT Kanpur), Debojyoti Dey (IIT Kanpur), Purushottam Kar (IIT Kanpur), AAAI 2023
"CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials.", Kishalay Das (Indian Institute Of Technology, Kharagpur), Bidisha Samanta (Indian Institute Of Technology, Kharagpur), Pawan Goyal (Indian Institute Of Technology, Kharagpur), Seung-Cheol Lee (Indo Korea Science And Technology Center, Bangalore), Satadeep Bhattacharjee (Indo Korea Science And Technology Center, Bangalore), Niloy Ganguly (Indian Institute Of Technology, Kharagpur; L3S, Leibniz University Of Hannover, Germany), AAAI 2023
"Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting", Tony Gracious (Indian Institute Of Science Bangalore), Ambedkar Dukkipati (Indian Institute Of Science Bangalore), AAAI 2023
"Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues", Shivani Kumar (Indraprastha Institute Of Information Technology Delhi, India), Ishani Mondal (University Of Maryland, College Park), Md Shad Akhtar (Indraprastha Institute Of Information Technology Delhi, India), Tanmoy Chakraborty (Indian Institute Of Technology Delhi, India), AAAI 2023
"Help Me Heal: A Reinforced Polite and Empathetic Mental Health and Legal Counseling Dialogue System for Crime Victims", Kshitij Mishra (Indian Institute Of Technology Patna), Priyanshu Priya (Indian Institute Of Technology Patna), Asif Ekbal (Indian Institute Of Technology Patna), AAAI 2023
"IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages", Tahir Javed (IIT Madras, AI4Bharat), Kaushal Bhogale (IIT Madras, AI4Bharat), Abhigyan Raman (AI4Bharat), Pratyush Kumar (Microsoft, AI4Bharat), Anoop Kunchukuttan (Microsoft, AI4Bharat), Mitesh M. Khapra (IIT Madras, AI4Bharat), AAAI 2023
"Interactive concept bottleneck models", Kushal Chauhan (Google Research India), Rishabh Tiwari (Google Research India), Jan Freyberg (Google Research), Pradeep Shenoy (Google Research India), DJ Dvijotham (Google Research), AAAI 2023
"Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions", Anson Bastos (Indian Institute Of Technology Hyderabad), Abhishek Nadgeri (RWTH Aachen), Kuldeep Singh (Cerence GmbH), Toyotaro Suzumura (IBM T.J. Watson Research Center), Manish Singh (Indian Institute Of Technology, Hyderabad), AAAI 2023
"Leveraging Weighted Cross-Graph Attention for Visual and Semantic Enhanced Video Captioning Network", Deepali Verma (Department Of Computer Science And Engineering, IIT (BHU), Varanasi), Arya Haldar (Department Of Computer Science And Engineering, IIT (BHU), Varanasi), Tanima Dutta (Department Of Computer Science And Engineering, IIT (BHU), Varanasi), AAAI 2023
"Persuasion Strategies in Advertisements", Yaman Kumar (Adobe Media And Data Science Research (MDSR)\nIIIT-Delhi\nUniversity At Buffalo), Rajat Jha (IIIT-Delhi), Arunim Gupta (IIIT-Delhi), Milan Aggarwal (Adobe Media And Data Science Research), Aditya Garg (IIIT-Delhi), Tushar Malyan (IIIT-Delhi), Ayush Bhardwaj (IIIT-Delhi), Rajiv Ratn Shah (IIIT-Delhi), Balaji Krishnamurthy (Adobe Media And Data Science Research), Changyou Chen (University At Buffalo), AAAI 2023
"PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks", Anandsingh Chauhan (Tata Consultancy Services Research), Mayank Baranwal (Tata Consultancy Services Research), Ansuma Basumatary (SalesKen), AAAI 2023
"Task and Model Agnostic Adversarial Attack on Graph Neural Networks", Kartik Sharma (Georgia Institute Of Technology, Atlanta), Samidha Verma (IIT Delhi), Sourav Medya (University Of Illinois, Chicago), Arnab Bhattacharya (IIT Kanpur), Sayan Ranu (IIT Delhi), AAAI 2023
"Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning", Gopendra Vikram Singh (IIT Patna), Mauajama Firdaus (University Of Alberta, Canada), Dushyant Singh Chauhan (IIT Patna), Asif Ekbal (IIT Patna), Pushpak Bhattacharyya (IIT Bombay), AAAI 2023
"What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes", Shivam Sharma (Indraprastha Institute Of Information Technology - Delhi\nWipro AI Labs (Lab45)), Siddhant Agarwal (Indraprastha Institute Of Information Technology, Delhi), Tharun Suresh (Indraprastha Institute Of Information Technology - Delhi), Preslav Nakov (Mohamed Bin Zayed University Of Artificial Intelligence), Md. Shad Akhtar (Indraprastha Institute Of Information Technology - Delhi), Tanmoy Chakraborty (Indian Institute Of Technology Delhi), AAAI 2023
"A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC", Sanjay Chandlekar (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Arthik Boroju (Indian Institute Of Technology Ropar, Ropar, India), Shweta Jain (Indian Institute Of Technology Ropar, Ropar, India), Sujit Gujar (International Institute Of Information Technology, Hyderabad, Hyderabad, India), AAMAS 2023
"Agent-based Simulation of District-based Elections with Heterogeneous Populations", Adway Mitra (Indian Institute Of Technology Kharagpur, Kharagpur, India), AAMAS 2023
"Capturing Hiders with Moving Obstacles", Ayushman Panda (IIIT-Hyderabad, Hyderabad, India), Kamalakar Karlapalem (IIIT-Hyderabad, Hyderabad, India), AAMAS 2023
"Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City", Varun Madhavan (Indian Institute Of Technology Kharagpur, Kharagpur, India), Adway Mitra (Indian Institute Of Technology Kharagpur, Kharagpur, India), Partha Pratim Chakrabarti (Indian Institute Of Technology Kharagpur, Kharagpur, India), AAMAS 2023
"Differentiable Agent-based Epidemiology", Ayush Chopra (Massachusetts Institute Of Technology, Cambridge, MA, USA), Alexander Rodríguez (Georgia Institute Of Technology, Atlanta, GA, USA), Jayakumar Subramanian (Adobe Media And Data Science Research, Noida, India), Arnau Quera-Bofarull (University Of Oxford, Oxford, United Kingdom), Balaji Krishnamurthy (Adobe Media And Data Science Research, Noida, India), B Aditya Prakash (Georgia Institute Of Technology, Atlanta, GA, USA), Ramesh Raskar (MIT Media Lab), AAMAS 2023
"Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning", Chaitanya Kharyal (Microsoft, Hyderabad, India), Tanmay Sinha (Microsoft Research, Bangalore, India), Sai Krishna Gottipati (AI Redefined, Montreal, PQ, Canada), Fatemeh Abdollahi (University Of Alberta, Edmonton, AB, Canada), Srijita Das (University Of Alberta, Edmonton, AB, Canada), Matthew Edmund Taylor (University Of Alberta, Edmonton, AB, Canada), AAMAS 2023
"Fair Chore Division under Binary Supermodular Costs", Siddharth Barman (Indian Institute Of Science, Bengaluru, India), Vishnu V Narayan (Tel Aviv University, Tel Aviv-Yafo, Israel), Paritosh Verma (Purdue University, West Lafayette, IN, USA), AAMAS 2023
"Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences", Hadi Hosseini (Pennsylvania State University, University Park, PA, USA), Sujoy Sikdar (Binghamton University, Binghamton, NY, USA), Rohit Vaish (Indian Institute Of Technology Delhi, New Delhi, India), Lirong Xia (Rensselaer Polytechnic Institute, Troy, NY, USA), AAMAS 2023
"Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem", Napendra Solanki (Indian Institute Of Technology Ropar, Rupnagar, India), Shweta Jain (Indian Institute Of Technology Ropar, Rupnagar, India), Suman Banerjee (Indian Institute Of Technology Jammu, Jammu, India), Yayathi Pavan Kumar S (Indian Institute Of Technology Ropar, Rupnagar, India), AAMAS 2023
"Feature-based Individual Fairness in k-clustering", Debajyoti Kar (IIT Kharagpur, Kharagpur, India), Mert Kosan (UC Santa Barbara, Santa Barbara, CA, USA), Debmalya Mandal (MPI-SWS, Saarbrücken, Germany), Sourav Medya (University Of Illinois Chicago, Chicago, IL, USA), Arlei Silva (Rice University, Houston, TX, USA), Palash Dey (IIT Kharagpur, Kharagpur, India), Swagato Sanyal (IIT Kharagpur, Kharagpur, India), AAMAS 2023
"Follow your nose: Using General Value Functions for Directed Exploration in Reinforcement Learning", Durgesh Kalwar (Tata Consultancy Services Ltd), Omkar Shelke (Tata Consultancy Services Ltd), Somjit Nath (Tata Consultancy Services Ltd), Hardik Meisheri (Tata Consultancy Services Ltd), Harshad Khadilkar (Tata Consultancy Services Ltd), AAMAS 2023
"From Scripts to RL Environments: Towards Imparting Commonsense Knowledge to RL Agents", Abhinav Joshi (IIT Kanpur, Kanpur, India), Areeb Ahmad (IIT Kanpur, Kanpur, India), Umang Pandey (IIT Kanpur, Kanpur, India), Ashutosh Modi (IIT Kanpur, Kanpur, India), AAMAS 2023
"Graphical House Allocation", Hadi Hosseini (Penn State University, University Park, PA, USA), Justin Payan (University Of Massachusetts Amherst, Amherst, MA, USA), Rik Sengupta (University Of Massachusetts Amherst, Amherst, MA, USA), Rohit Vaish (IIT Delhi, New Delhi, India), Vignesh Viswanathan (University Of Massachusetts Amherst, Amherst, MA, USA), AAMAS 2023
"Group Fair Clustering Revisited -- Notions and Efficient Algorithm", Shivam Gupta (Indian Institute Of Technology Ropar, Rupnagar, India), Ganesh Ghalme (Indian Institute Of Technology Hyderabad, Hyderabad, India), Narayanan C Krishnan (Indian Institute Of Technology Palakkad, Palakkad, India), Shweta Jain (Indian Institute Of Technology Ropar, Rupnagar, India), AAMAS 2023
"Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits", Abheek Ghosh (University Of Oxford, Oxford, United Kingdom), Dheeraj Nagaraj (Google Research, Bengaluru, India), Manish Jain (Google Research, Bengaluru, India), Milind Shashikant Tambe (GoogleGoogle Research, Bengaluru, India), AAMAS 2023
"Individual-Fair and Group-Fair Social Choice Rules under Single-Peaked Preferences", Gogulapati Sreedurga (Indian Institute Of Science, Bengaluru, India), Soumyarup Sadhukhan (Indian Institute Of Technology, Kanpur, India), Souvik Roy (Indian Statistical Institute, Kolkata, India), Yadati Narahari (Indian Institute Of Science, Bengaluru, India), AAMAS 2023
"Indivisible Participatory Budgeting with Multiple Degrees of Sophistication of Projects", Gogulapati Sreedurga (Indian Institute Of Science, Bengaluru, India), AAMAS 2023
"Intelligent Onboard Routing in Stochastic Dynamic Environments using Transformers", Rohit Chowdhury (Indian Institute Of Science, Bangalore, Bangalore, India), Raswanth Murugan (Indian Institute Of Technology, Palakkad, Palakkad, India), Deepak N Subramani (Indian Institute Of Science, Bangalore, Bangalore, India), AAMAS 2023
"Loss of Distributed Coverage Using Lazy Agents Operating Under Discrete, Local, Event-Triggered Communication", Edward Vickery (SHL, London, United Kingdom), Aditya A Paranjape (Tata Consultancy Services Ltd., Pune, India), AAMAS 2023
"Modeling Application Scenarios for Responsible Autonomy using Computational Transcendence", Jayati Deshmukh (International Institute Of Information Technology, Bangalore, Bangalore, India), Nikitha Adivi (International Institute Of Information Technology, Bangalore, Bangalore, India), Srinath Srinivasa (International Institute Of Information Technology, Bangalore, Bangalore, India), AAMAS 2023
"Modeling Robustness in Decision-Focused Learning as a Stackelberg Game", Sonja Johnson-Yu (Harvard University, Cambridge, MA, USA), Kai Wang (Harvard University & Google Research, Cambridge, MA, USA), Jessie Finocchiaro (Harvard University, Cambridge, MA, USA), Aparna Taneja (Google Research, Gurgaon, India), Milind Shashikant Tambe (Harvard University & Google Research, Cambridge, MA, USA), AAMAS 2023
"Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning", Pranav Khanna (Indian Institute Of Technology, Indore, India), Guy Tennenholtz (Technion, Haifa, Israel), Nadav Merlis (Technion, Haifa, Israel), Shie Mannor (Technion & NVIDIA, Haifa, Israel), Chen Tessler (NVIDIA, Haifa, Israel), AAMAS 2023
"On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy", Sagalpreet Singh (Indian Institute Of Technology Ropar, Rupnagar, India), Shweta Jain (Indian Institute Of Technology Ropar, Rupnagar, India), Shashi Shekhar Jha (Indian Institute Of Technology Ropar, Rupnagar, India), AAMAS 2023
"On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork", Matheus Ap Alves (Lancaster University, Lancaster, United Kingdom), Elnaz Shafipour Yourdshahi (University Of Surrey, Surrey, United Kingdom), Amokh Varma (Indian Institute Of Technology, Delhi, India), Leandro Soriano Marcolino (Lancaster University, Lancaster, United Kingdom), Jó Ueyama (University Of São Paulo, São Carlos, Brazil), Plamen Parvanov Angelov (Lancaster University, Lancaster, United Kingdom), AAMAS 2023
"Repeatedly Matching Items to Agents Fairly and Efficiently", I. Caragiannis (Aarhus University, Aarhus, Denmark), Shivika Narang (Indian Institute Of Science, Bengaluru, India), AAMAS 2023
"Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning", Shresth Verma (Google Research India, Bangalore, India), Aditya S Mate (Harvard University, Cambridge, MA, USA), Kai Wang (Harvard University, Cambridge, MA, USA), Neha Madhiwalla (ARMMAN, Mumbai, India), Aparna Hegde (ARMMAN, Mumbai, India), Aparna Taneja (Google Research India, Gurugram, India), Milind Shashikant Tambe (Google Research India, Bangalore, India), AAMAS 2023
"Sampling-Based Winner Prediction in District-Based Elections", Debajyoti Kar (Indian Institute Of Science, Bangalore, Bangalore, India), Palash Dey (Indian Institute Of Technology, Kharagpur, Kharagpur, India), Swagato Sanyal (Indian Institute Of Technology, Kharagpur, Kharagpur, India), AAMAS 2023
"Semi-Popular Matchings and Copeland Winners", Telikepalli Kavitha (Tata Institute Of Fundamental Research, Mumbai, India), Rohit Vaish (Indian Institute Of Technology Delhi, New Delhi, India), AAMAS 2023
"The Complexity of Minimizing Envy in House Allocation", Jayakrishnan Madathil (University Of Glasgow, Glasgow, United Kingdom), Neeldhara Misra (IIT Gandhinagar, Gandhinagar, India), Aditi Sethia (IIT Gandhinagar, Gandhinagar, India), AAMAS 2023
"The Rule-Tool-User Nexus in Digital Collective Decisions", Zoi Terzopoulou (Gate, University Of Lyon - Saint-Etienne, Paris, France), Marijn A Keijzer (Institute For Advanced Study In Toulouse, Toulouse, France), Gogulapati Sreedurga (Indian Institute Of Science, Bangalore, India), Jobst Heitzig (Potsdam Institute For Climate Impact Research, Potsdam, Germany), AAMAS 2023
"A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection", Naveen Badathala (Indian Institute Of Technology Bombay), Abisek Rajakumar Kalarani (Indian Institute Of Technology Bombay), Tejpalsingh Siledar (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), ACL 2023
"A Multi-task Learning Framework for Quality Estimation", Sourabh Deoghare (Indian Institute Of Technology Bombay), Paramveer Choudhary (Indian Institute Of Technology Bombay), Diptesh Kanojia (University Of Surrey), Tharindu Ranasinghe (Aston University), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), Constantin Orsan (University Of Surrey), ACL 2023
"Adversarial Training for Low-Resource Disfluency Correction", Vineet Bhat (Indian Institute Of Technology Bombay), Preethi Jyothi (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), ACL 2023
"Automated Digitization of Unstructured Medical Prescriptions", Megha Sharma (Amazon), Tushar Vatsal (Amazon), Srujana Merugu (Amazon), Aruna Rajan (Google), ACL 2023
"“Knowledge is Power”: Constructing Knowledge Graph of Abdominal Organs and Using Them for Automatic Radiology Report Generation", Kaveri Kale (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), Aditya Shetty (Breach Candy Hospital), Milind Gune (Augnito India Pvt. Ltd.), Kush Shrivastava (Augnito India Pvt. Ltd.), Rustom Lawyer (Augnito India Pvt. Ltd.), Spriha Biswas (Augnito India Pvt. Ltd.), ACL 2023
"CoMix: Guide transformers to code-mix using POS structure and phonetics", Gaurav Arora (Amazon), Srujana Merugu (Amazon), Vivek Sembium (Amazon), ACL 2023
"Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers", Parikshit Bansal (Microsoft Research India), Amit Sharma (Microsoft Research India), ACL 2023
"Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions", Mayur Patidar (TCS Research), Prayushi Faldu (IIT Delhi), Avinash Singh (TCS Research), Lovekesh Vig (TCS Research), Indrajit Bhattacharya (TCS Research), Mausam (IIT Delhi), ACL 2023
"How does the brain process syntax structure while listening?", Subba Reddy Oota (Inria Bordeaux, France), Mounika Marreddy (IIIT-Hyderabad), Manish Gupta (Microsoft, India), Raju S. Bapi (IIIT-Hyderabad), ACL 2023
"Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages", Sumanth Doddapaneni (IIT Madras, AI4Bharat), Rahul Aralikatte (MILA - Quebec AI Institue, McGill University), Gowtham Ramesh (AI4Bharat), Shreya Goyal (AI4Bharat), Mitesh M. Khapra (IIT Madras, AI4Bharat), Anoop Kunchukuttan (Microsoft, AI4Bharat, IIT Madras), Pratyush Kumar (Microsoft, AI4Bharat, IIT Madras), ACL 2023
"ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos", Krishanu Maity (IIT Patna), A.S. Poornash (IIT Patna), Pushpak Bhattacharyya (IIT Bombay), Sriparna Saha (IIT Patna), ACL 2023
"With Prejudice to None: A Few-Shot, Multilingual Transfer Learning Approach to Detect Social Bias in Low Resource Languages", Nihar Ranjan Sahoo (IIT Bombay), Niteesh Kumar Reddy Mallela (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), ACL 2023
"``A Little is Enough``: Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation", Akshay Batheja (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), ACL 2023
"``Let’s not Quote out of Context``: Unified Vision-Language Pretraining for Context Assisted Image Captioning", Abisek Rajakumar Kalarani (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), Niyati Chhaya (Adobe Research, India), Sumit Shekhar (Adobe Research, India), ACL 2023
"AbCoRD: Exploiting multimodal generative approach for Aspect-based Complaint and Rationale Detection", Raghav Jain (Indian Institute Of Technology Patna, Patna, India), Apoorva Singh (Indian Institute Of Technology Patna, Patna, India), Vivek Gangwar (Indian Institute Of Technology Patna, Patna, India), Sriparna Saha (Indian Institute Of Technology Patna, Patna, India), ACM Multimedia 2023
"BEAMER: Behavioral Encoder to Generate Multiple Appropriate Facial Reactions", Ximi Hoque (Indian Institute Of Technology Ropar, Ropar, India), Adamay Mann (Thapar Institute Of Engineering And Technology, Patiala, India), Gulshan Sharma (Indian Institute Of Technology Ropar, Ropar, India), Abhinav Dhall (Indian Institute Of Technology Ropar & Monash University, Ropar, India), ACM Multimedia 2023
"MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings", Surbhi Madan (Indian Institute Of Technology Ropar, Ropar, India), Rishabh Jain (Indian Institute Of Technology Ropar, Ropar, India), Gulshan Sharma (Indian Institute Of Technology Ropar, Ropar, India), Ramanathan Subramanian (University Of Canberra, Canberra, Australia), Abhinav Dhall (Indian Institute Of Technology Ropar & Monash University, Ropar, India), ACM Multimedia 2023
"Multi-label Emotion Analysis in Conversation via Multimodal Knowledge Distillation", Sidharth Anand (BITS Pilani, Hyderabad, India), Naresh Kumar Devulapally (State University Of New York At Buffalo, Buffalo, NY, USA), Sreyasee Das Bhattacharjee (State University Of New York At Buffalo, Buffalo, NY, USA), Junsong Yuan (State University Of New York At Buffalo, Buffalo, NY, USA), ACM Multimedia 2023
"Multi-Layer Acoustic & Linguistic Feature Fusion for ComParE-23 Emotion and Requests Challenge", Siddhant R Viksit (Indraprastha Institute Of Technology Delhi, Delhi, India), Vinayak Abrol (Indraprastha Institute Of Technology Delhi, Delhi, India), ACM Multimedia 2023
"Towards Accurate Lip-to-Speech Synthesis in-the-Wild", Sindhu B Hegde (University Of Oxford, Oxford, United Kingdom), Rudrabha Mukhopadhyay (IIIT Hyderabad, Hyderabad, India), C V Jawahar (IIIT Hyderabad, Hyderabad, India), Vinay P Namboodiri (University Of Bath, Bath, United Kingdom), ACM Multimedia 2023
"Your tone speaks louder than your face! Modality Order Infused Multi-modal Sarcasm Detection", Mohit Tomar* (Indian Institute Of Technology, Patna), Abhisek Tiwari* (Indian Institute Of Technology, Patna), Tulika Saha (University Of Liverpool, UK), Sriparna Saha (Indian Institute Of Technology, Patna), ACM Multimedia 2023
"A Large-Scale Robustness Analysis of Video Action Recognition Models", Madeline Chantry Schiappa (CRCV, University Of Central Florida,), Naman Biyani (IIT Kanpur,), Prudvi Kamtam (CRCV, University Of Central Florida,), Shruti Vyas (CRCV, University Of Central Florida,), Hamid Palangi (Microsoft Research,), Vibhav Vineet (Microsoft Research,), Yogesh Rawat (CRCV, University Of Central Florida,), CVPR 2023
"A Probabilistic Framework for Lifelong Test-Time Adaptation", Dhanajit Brahma (Indian Institute Of Technology Kanpur,), Piyush Rai (Indian Institute Of Technology Kanpur,), CVPR 2023
"Adaptive Annealing for Robust Geometric Estimation", Chitturi Sidhartha (Indian Institute Of Science, Bengaluru, India,), Lalit Manam (Indian Institute Of Science, Bengaluru, India,), Venu Madhav Govindu (Indian Institute Of Science, Bengaluru, India,), CVPR 2023
"CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes", Harshil Bhatia (Indian Institute Of Technology, Jodhpur, MPI For Informatics, SIC,), Edith Tretschk (MPI For Informatics, SIC,), Zorah Lähner (Universität Siegen,), Marcel Seelbach Benkner (Universität Siegen,), Michael Moeller (Universität Siegen,), Christian Theobalt (MPI For Informatics, SIC,), Vladislav Golyanik (MPI For Informatics, SIC,), CVPR 2023
"DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks", Samyak Jain (Vision And AI Lab, Indian Institute Of Science, Bangalore, Indian Institute Of Technology, Varanasi,), Sravanti Addepalli (Vision And AI Lab, Indian Institute Of Science, Bangalore,), Pawan Kumar Sahu (Vision And AI Lab, Indian Institute Of Science, Bangalore, Indian Institute Of Technology, Dhanbad,), Priyam Dey (Vision And AI Lab, Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Vision And AI Lab, Indian Institute Of Science, Bangalore,), CVPR 2023
"DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting", Aayush Kumar Tyagi (IIT Delhi,), Chirag Mohapatra (IIT Delhi,), Prasenjit Das (AIIMS, New Delhi,), Govind Makharia (AIIMS, New Delhi,), Lalita Mehra (AIIMS, New Delhi,), Prathosh AP (IISc, Bangalore,), Mausam (IIT Delhi,), CVPR 2023
"Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement", Nancy Mehta (CVPR Lab, Indian Institute Of Technology Ropar,), Akshay Dudhane (Mohamed Bin Zayed University Of AI,), Subrahmanyam Murala (CVPR Lab, Indian Institute Of Technology Ropar,), Syed Waqas Zamir (Inception Institute Of AI,), Salman Khan (Mohamed Bin Zayed University Of AI, Australian National University,), Fahad Shahbaz Khan (Mohamed Bin Zayed University Of AI, Linköping University,), CVPR 2023
"How You Feelin’? Learning Emotions and Mental States in Movie Scenes", Dhruv Srivastava (CVIT, IIIT, Hyderabad, India,), Aditya Kumar Singh (CVIT, IIIT, Hyderabad, India,), Makarand Tapaswi (CVIT, IIIT, Hyderabad, India,), CVPR 2023
"Interactive Segmentation of Radiance Fields", Rahul Goel (CVIT, Kohli Center On Intelligent Systems (KCIS), IIIT, Hyderabad,), Dhawal Sirikonda (CVIT, Kohli Center On Intelligent Systems (KCIS), IIIT, Hyderabad,), Saurabh Saini (CVIT, Kohli Center On Intelligent Systems (KCIS), IIIT, Hyderabad,), P J Narayanan (CVIT, Kohli Center On Intelligent Systems (KCIS), IIIT, Hyderabad,), CVPR 2023
"Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation", Gaurav Patel (Purdue University,), Konda Reddy Mopuri (Indian Institute Of Technology Hyderabad,), Qiang Qiu (Purdue University,), CVPR 2023
"MARLIN: Masked Autoencoder for facial video Representation LearnINg", Zhixi Cai (Monash University,), Shreya Ghosh (Monash University, Curtin University,), Kalin Stefanov (Monash University,), Abhinav Dhall (Monash University, Indian Institute Of Technology Ropar,), Jianfei Cai (Monash University,), Hamid Rezatofighi (Monash University,), Reza Haffari (Monash University,), Munawar Hayat (Monash University,), CVPR 2023
"Multi Domain Learning for Motion Magnification", Jasdeep Singh (CVPR Lab, Indian Institute Of Technology Ropar, India,), Subrahmanyam Murala (CVPR Lab, Indian Institute Of Technology Ropar, India,), G. Sankara Raju Kosuru (CVPR Lab, Indian Institute Of Technology Ropar, India,), CVPR 2023
"Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN models", Nilesh Ahuja (Intel Labs,), Parual Datta (Intel Labs,), Bhavya Kanzariya (Intel Labs, IIT Hyderabad,), V. Srinivasa Somayazulu (Intel Labs,), Omesh Tickoo (Intel Labs,), CVPR 2023
"NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs", Harsh Rangwani (Vision And AI Lab, IISc Bangalore,), Lavish Bansal (Vision And AI Lab, IISc Bangalore, IIT BHU Varanasi,), Kartik Sharma (Vision And AI Lab, IISc Bangalore, BITS Pilani,), Tejan Karmali (Google Research,), Varun Jampani (Google Research,), R. Venkatesh Babu (Vision And AI Lab, IISc Bangalore,), CVPR 2023
"OneFormer: One Transformer to Rule Universal Image Segmentation", Jitesh Jain (SHI Labs @ U Of Oregon & UIUC, IIT Roorkee,), Jiachen Li (SHI Labs @ U Of Oregon & UIUC,), MangTik Chiu (SHI Labs @ U Of Oregon & UIUC,), Ali Hassani (SHI Labs @ U Of Oregon & UIUC,), Nikita Orlov (Picsart AI Research (PAIR),), Humphrey Shi (SHI Labs @ U Of Oregon & UIUC, Picsart AI Research (PAIR),), CVPR 2023
"PyPose: A Library for Robot Learning with Physics-based Optimization", Chen Wang (Carnegie Mellon University, Pittsburgh, PA, USA, State University Of New York, Buffalo, NY, USA,), Dasong Gao (Carnegie Mellon University, Pittsburgh, PA, USA, Massachusetts Institute Of Technology, Cambridge, MA, USA,), Kuan Xu (Nanyang Technological University, Singapore,), Junyi Geng (Carnegie Mellon University, Pittsburgh, PA, USA,), Yaoyu Hu (Carnegie Mellon University, Pittsburgh, PA, USA,), Yuheng Qiu (Carnegie Mellon University, Pittsburgh, PA, USA,), Bowen Li (Carnegie Mellon University, Pittsburgh, PA, USA,), Fan Yang (ETH Zürich, Zürich, Switzerland,), Brady Moon (Carnegie Mellon University, Pittsburgh, PA, USA,), Abhinav Pandey (Pennsylvania State University, University Park, PA, USA,), Aryan (Carnegie Mellon University, Pittsburgh, PA, USA, Delhi Technological University, Delhi, India,), Jiahe Xu (Carnegie Mellon University, Pittsburgh, PA, USA,), Tianhao Wu (University Of Virginia, Charlottesville, VA, USA,), Haonan He (Carnegie Mellon University, Pittsburgh, PA, USA,), Daning Huang (Pennsylvania State University, University Park, PA, USA,), Zhongqiang Ren (Carnegie Mellon University, Pittsburgh, PA, USA,), Shibo Zhao (Carnegie Mellon University, Pittsburgh, PA, USA,), Taimeng Fu (The Chinese University Of Hong Kong, Shenzhen, China,), Pranay Reddy (University Of Massachusetts, Amherst, MA, USA,), Xiao Lin (Georgia Institute Of Technology, Atlanta, GA, USA,), CVPR 2023
"RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases", Abhipsa Basu (Vision And AI Lab, Indian Institute Of Science, Bangalore,), Sravanti Addepalli (Vision And AI Lab, Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Vision And AI Lab, Indian Institute Of Science, Bangalore,), CVPR 2023
"Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training", Siddarth Asokan (Robert Bosch Center For Cyber-Physical Systems, Indian Institute Of Science, Bengaluru, India,), Chandra Sekhar Seelamantula (Department Of Electrical Engineering, Indian Institute Of Science, Bengaluru, India,), CVPR 2023
"Test of Time: Instilling Video-Language Models with a Sense of Time", Piyush Bagad (University Of Amsterdam,), Makarand Tapaswi (IIIT Hyderabad,), Cees G.M. Snoek (University Of Amsterdam,), CVPR 2023
"Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer", Shubh Maheshwari (TCS Research, India,), Rahul Narain (Indian Institute Of Technology Delhi, India,), Ramya Hebbalaguppe (TCS Research, India, Indian Institute Of Technology Delhi, India,), CVPR 2023
"Why is the Winner the Best?", M. Eisenmann (Division Of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany, Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany,), A. Reinke (Division Of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany, Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany, Faculty Of Mathematics And Computer Science, Heidelberg University, Heidelberg, Germany,), V. Weru (Division Of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany,), M. D. Tizabi (Division Of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany, Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany,), F. Isensee (Division Of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany, Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany,), T. J. Adler (Division Of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany,), S. Ali (Faculty Of Engineering And Physical Sciences, School Of Computing, University Of Leeds, Leeds, UK,), V. Andrearczyk (Institute Of Informatics, School Of Management, HES-SO Valais-Wallis University Of Applied Sciences And Arts Western Switzerland, Sierre, Switzerland, Department Of Nuclear Medicine And Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland,), M. Aubreville (Technische Hochschule Ingolstadt, Ingolstadt, Germany,), U. Baid (Center For Artificial Intelligence And Data Science For Integrated Diagnostics (AI2D) And Center For Biomedical Image Computing And Analytics (CBICA), University Of Pennsylvania, Philadelphia, PA, USA, Department Of Pathology And Laboratory Medicine, Perelman School Of Medicine, University Of Pennsylvania, Philadelphia, PA, USA, Department Of Radiology, Perelman School Of Medicine, University Of Pennsylvania, Philadelphia, PA, USA,), S. Bakas (Center For Artificial Intelligence And Data Science For Integrated Diagnostics (AI2D) And Center For Biomedical Image Computing And Analytics (CBICA), University Of Pennsylvania, Philadelphia, PA, USA, Department Of Pathology And Laboratory Medicine, Perelman School Of Medicine, University Of Pennsylvania, Philadelphia, PA, USA, Department Of Radiology, Perelman School Of Medicine, University Of Pennsylvania, Philadelphia, PA, USA,), N. Balu (Department Of Radiology, University Of Washington, Seattle, WA, USA,), S. Bano (Department Of Computer Science, Wellcome/EPSRC Centre For Interventional And Surgical Sciences (WEISS), University College London, London, UK,), J. Bernal (Universitat Autònoma De Barcelona & Computer Vision Center, Barcelona, Spain,), S. Bodenstedt (Division Of Translational Surgical Oncology, National Center For Tumor Diseases (NCT/UCC) Dresden, Dresden, Germany,), A. Casella (Department Of Advanced Robotics, Istituto Italiano Di Tecnologia, Italy, Department Of Electronics, Information And Bioengineering, Politecnico Di Milano, Milan, Italy,), V. Cheplygina (IT University Of Copenhagen, Copenhagen, Denmark,), M. Daum (Department Of General, Visceral And Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany,), M. De Bruijne (Department Of Radiology And Nuclear Medicine, Biomedical Imaging Group Rotterdam, Erasmus MC, Rotterdam, The Netherlands, Department Of Computer Science, University Of Copenhagen, Copenhagen, Denmark,), A. Depeursinge (Institute Of Information Systems, University Of Applied Sciences Western Switzerland (HES-SO), Sierre, Switzerland, Department Of Nuclear Medicine And Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland,), CVPR 2023
"ANGEL: Enterprise Search System for the Non-Profit Industry", Saiful Haq (IIT Bombay), Ashutosh Sharma (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages", Vineet Bhat (IIT Bombay), Preethi Jyothi (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts", Kshitij Mishra (IIT Patna), Priyanshu Priya (IIT Patna), Manisha Burja (IIT Patna), Asif Ekbal (IIT Patna), EMNLP 2023
"Elevating Code-mixed Text Handling through Auditory Information of Words", Mamta (IIT Patna), Zishan Ahmad (IIT Patna), Asif Ekbal (IIT Patna), EMNLP 2023
"Eyes Show the Way: Harnessing Gaze Features for Hallucination Detection", Kishan Maharaj (IIT Bombay), Ashita Saxena (IIT Bombay), Abhijit Mishra (University Of Texas At Austin), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"GenEx: A Commonsense-aware Unified Generative Framework for Explainable Cyberbullying Detection", Krishanu Maity (IIT Patna), Raghav Jain (IIT Patna), Prince Jha (IIT Patna), Sriparna Saha (IIT Patna), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments", Debtanu Datta (IIT Kharagpur), Shubham Soni (IIT Kharagpur), Rajdeep Mukherjee (IIT Kharagpur), Saptarshi Ghosh (IIT Kharagpur), EMNLP 2023
"Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm Detection", Divyank Pratap Tiwari (IIT Bombay), Diptesh Kanojia (University Of Surrey, United Kingdom), Anupama Ray (IBM Research India), Apporva Nunna (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"Quality Estimation-Assisted Automatic Post-Editing", Sourabh Deoghare (IIT Bombay), Diptesh Kanojia (University Of Surrey, United Kingdom), Tharindu Ranasinghe (Aston Univeristy, United Kingdom), Frédéric Blain (Tilburg University, The Netherlands), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"Retrofitting Light-weight Language Models for Emotions using Supervised Contrastive Learning", Sapan Shah (IIT Bombay, TCS Research Pune), Shreedhar Reddy (TCS Research Pune), Pushpak Bhattacharyya (IIT Bombay), EMNLP 2023
"Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries", Ashish Mittal (IBM Research; IIT Bombay), Sunita Sarawagi (IIT Bombay), Preethi Jyothi (IIT Bombay), George Saon (IBM Research), Gakuto Kurata (IBM Research), EMNLP 2023
"Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach", Vimal K B (Indian Institute Of Technology, Hyderabad), Saketh Bachu (Indian Institute Of Technology, Hyderabad), Tanmay Garg (Indian Institute Of Technology, Hyderabad), Niveditha Lakshmi Narasimhan (KLA Corporation), Raghavan Konuru (KLA Corporation), Vineeth N Balasubramanian (Indian Institute Of Technology, Hyderabad), ICCV 2023
"Data-Free Class-Incremental Hand Gesture Recognition", Shubhra Aich (Carnegie Mellon University, USA), Jesus Ruiz-Santaquiteria (UCLM, Spain), Prachi Garg (Carnegie Mellon University, USA), Zhenyu Lu (Carnegie Mellon University, USA), Joseph K J (Adobe Research), Alvaro Fernandez Garcia (Carnegie Mellon University, USA), Kenrick Kin (Meta Reality Labs), Chengde Wan (Meta Reality Labs), Vineeth N Balasubramanian (Indian Institute Of Technology, Hyderabad), Necati Cihan Camgoz (University Of Surrey), Shugao Ma (Meta Reality Labs), Fernando De La Torre (Carnegie Mellon University, USA), ICCV 2023
"Domain Adaptive Few-Shot Open-Set Learning", Debabrata Pal (Indian Institute Of Technology, Bombay,), Deeptej More (Manipal Institute Of Technology, India,), Sai Bhargav (Indian Institute Of Technology, Bombay,), Dipesh Tamboli (Purdue University,), Vaneet Aggarwal (Purdue University,), Biplab Banerjee (Indian Institute Of Technology, Bombay,), ICCV 2023
"Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation", Sunandini Sanyal (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), Ashish Ramayee Asokan (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), Suvaansh Bhambri (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), Akshay Kulkarni (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), Jogendra Nath Kundu (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), R Venkatesh Babu (Vision And AI Lab, Indian Institute Of Science, Bengaluru,), ICCV 2023
"Exemplar-Free Continual Transformer with Convolutions", Anurag Roy (IIT Kharagpur,), Vinay K. Verma (IML Amazon, India,), Sravan Voonna (IIT Kharagpur,), Kripabandhu Ghosh (IISER Kolkata,), Saptarshi Ghosh (IIT Kharagpur,), Abir Das (IIT Kharagpur,), ICCV 2023
"FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss Function", Saurabh Yadav (Indraprastha Institute Of Information Technology Delhi (IIIT-Delhi), New Delhi, India,), Koteswar Rao Jerripothula (Indraprastha Institute Of Information Technology Delhi (IIIT-Delhi), New Delhi, India,), ICCV 2023
"Inspecting the Geographical Representativeness of Images from Text-to-Image Models", Abhipsa Basu (Vision And AI Lab, IISc Bangalore,), R. Venkatesh Babu (Vision And AI Lab, IISc Bangalore,), Danish Pruthi (FLAIR Lab, IISc Bangalore,), ICCV 2023
"Strata-NeRF : Neural Radiance Fields for Stratified Scenes", Ankit Dhiman (Vision And AI Lab, IISc Bangalore, Samsung R & D Institute India - Bangalore,), R Srinath (Vision And AI Lab, IISc Bangalore,), Harsh Rangwani (Vision And AI Lab, IISc Bangalore,), Rishubh Parihar (Vision And AI Lab, IISc Bangalore,), Lokesh R Boregowda (Samsung R & D Institute India - Bangalore,), Srinath Sridhar (Brown University,), R Venkatesh Babu (Vision And AI Lab, IISc Bangalore,), ICCV 2023
"Test Time Adaptation for Blind Image Quality Assessment", Subhadeep Roy (Indian Institute Of Science, Bengaluru, India,), Shankhanil Mitra (Indian Institute Of Science, Bengaluru, India,), Soma Biswas (Indian Institute Of Science, Bengaluru, India,), Rajiv Soundararajan (Indian Institute Of Science, Bengaluru, India,), ICCV 2023
"TrackFlow: Multi-Object Tracking with Normalizing Flows", Gianluca Mancusi (University Of Modena And Reggio Emilia, Italy,), Aniello Panariello (University Of Modena And Reggio Emilia, Italy,), Angelo Porrello (University Of Modena And Reggio Emilia, Italy,), Matteo Fabbri (GoatAI S.r.l.,), Simone Calderara (University Of Modena And Reggio Emilia, Italy,), Rita Cucchiara (University Of Modena And Reggio Emilia, Italy, IIT-CNR, Italy,), ICCV 2023
"ADAMANT: A Query Executor with Plug-In Interfaces for Easy Co-processor Integration", Bala Gurumurthy (Databases And Software Engineering, University Of Magdeburg, Germany,), David Broneske (German Center For Higher Education Research And Science Studies, Hannover, Germany,), Gabriel Campero Durand (Databases And Software Engineering, University Of Magdeburg, Germany,), Thilo Pionteck (Hardware-Oriented Technical Computer Science, University Of Magdeburg, Germany,), Gunter Saake (Databases And Software Engineering, University Of Magdeburg, Germany,), ICDE 2023
"MMCo-Clus – An Evolutionary Co-clustering Algorithm for Gene Selection (Extended abstract)", Laizhong Cui (College Of Computer Science And Software Engineering, Shenzhen University, Shenzhen, P.R. China,), Sudipta Acharya (School Of Computing, Queen’s University, Ontario, Canada,), Sumit Mishra (Department Of CSE, Indian Institute Of Information Technology, Guwahati, Assam, India,), Yi Pan (Shenzhen Institute Of Advanced Technology, Chinese Academy Of Sciences, P.R. China,), Joshua Zhexue Huang (College Of Computer Science And Software Engineering, Shenzhen University, Shenzhen, P.R. China,), ICDE 2023
"Synthetic Data Generation for Enterprise DBMS", Anupam Sanghi (IBM Research, Bengaluru, India,), Jayant R. Haritsa (Indian Institute Of Science, Bengaluru, India,), ICDE 2023
"Towards Optimizing Storage Costs on the Cloud", Koyel Mukherjee (Adobe Research), Raunak Shah (Adobe Research), Shiv K. Saini (Adobe Research), Karanpreet Singh (IIT Roorkee), Khushi (IIT Roorkee), Harsh Kesarwani (IIT Roorkee), Kavya Barnwal (IIT Roorkee), Ayush Chauhan (UT Austin), ICDE 2023
"Entropy Aware Training for Fast and Accurate Distributed GNN", Dhruv Deshmukh (Department Of CSE, IIT Bhilai, India,), Gagan Raj Gupta (Department Of CSE, IIT Bhilai, India,), Manisha Chawla (Department Of CSE, IIT Bhilai, India,), Vishwesh Jatala (Department Of CSE, IIT Bhilai, India,), Anirban Haldar (Department Of CSE, IIT Bhilai, India,), ICDM 2023
"AnyDA: Anytime Domain Adaptation", Omprakash Chakraborty (IIT Kharagpur), Aadarsh Sahoo (MIT-IBM Watson AI Lab), Rameswar Panda (MIT-IBM Watson AI Lab), Abir Das (IIT Kharagpur), ICLR 2023
"Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems", Suresh Bishnoi (Indian Institute Of Technology Delhi), Ravinder Bhattoo (Indian Institute Of Technology Delhi), Jayadeva (Indian Institute Of Technology Delhi), Sayan Ranu (Indian Institute Of Technology Delhi), N.M. Anoop Krishnan (Indian Institute Of Technology Delhi), ICLR 2023
"Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks", Sravanti Addepalli (Indian Institute Of Science), Anshul Nasery (Google Research India), R. Venkatesh Babu (Indian Institute Of Science), Praneeth Netrapalli (Google Research India), Prateek Jain (Google Research India), ICLR 2023
"Modeling the data-generating process is necessary for out-of-distribution generalization", Jivat Neet Kaur (Microsoft Research India), Emre Kiciman (Microsoft Research US), Amit Sharma (Microsoft Research India), ICLR 2023
"Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models", Parth Sangani (IIT Bombay), Arjun Kashettiwar (IIT Bombay), Pritish Chakraborty (IIT Bombay), Bhuvan Reddy (IIT Bombay), Durga Sivasubramanian (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), Rishabh Iyer (UT Dallas), Abir De (IIT Bombay), ICML 2023
"GRAFENNE: Continual learning on Graphs with Heterogeneous and Dynamic Feature Sets", Shubham Gupta (IIT Delhi), Sahil Manchanda (IIT Delhi), Sayan Ranu (IIT Delhi), Srikanta Bedathur (IIT Delhi), ICML 2023
"Overcoming simplicity bias in deep networks using a feature sieve", Rishabh Tiwari (Google Research India), Pradeep Shenoy (Google Research India), ICML 2023
"StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes", Vaibhav Bihani (IIT Delhi), Sahil Manchanda (IIT Delhi), Srikanth Sastry (Jawaharlal Nehru Centre For Advanced Scientific Research), Sayan Ranu (IIT Delhi), N.M. Anoop Krishnan (IIT Delhi), ICML 2023
"Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs", Prashant Pandey (Indian Institute Of Technology Delhi), Mustafa Chasmai (Indian Institute Of Technology Delhi), Tanuj Sur (Chennai Mathematical Institute, India), Brejesh Lall (Indian Institute Of Technology Delhi), IEEE TMI 2023
"Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering", Abhirama Subramanyam Penamakuri (IIT Jodhpur), Manish Gupta (Microsoft), Mithun Das Gupta (Microsoft), Anand Mishra (IIT Jodhpur), IJCAI 2023
"Long-term Monitoring of Bird Flocks in the Wild", Kshitiz (IIT Jodhpur), Sonu Shreshtha (IIT Jodhpur), Ramy Mounir (University Of South Florida, Tampa, Florida, USA), Mayank Vatsa (IIT Jodhpur), Richa Singh (IIT Jodhpur), Saket Anand (IIIT Delhi), Sudeep Sarkar (University Of South Florida, Tampa, Florida, USA), Sevaram Mali Parihar (Crane Conservationist, Khichan, India), IJCAI 2023
"PARTNER: A Persuasive Mental Health and Legal Counselling Dialogue System for Women and Children Crime Victims", Priyanshu Priya (IIT Patna), Kshitij Mishra (IIT Patna), Palak Totala (IIT Patna), Asif Ekbal (IIT Patna), IJCAI 2023
"Promoting Gender Equality through Gender-biased Language Analysis in Social Media", Gopendra Singh (IIT Patna), Soumitra Ghosh (IIT Patna), Asif Ekbal (IIT Patna), IJCAI 2023
"Sampling Ex-Post Group-Fair Rankings", Sruthi Gorantla (IISc), Amit Deshpande (Microsoft Research India), Anand Louis (IISc), IJCAI 2023
"Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++", Barath Mohan Umapathi (Indian Institute Of Science), Kushal Chauhan (Google Research India), Pradeep Shenoy (Google Research India), Devarajan Sridharan (Indian Institute Of Science), IJCAI 2023
"Uncovering the Deceptions: An analysis on Audio Spoofing Detection and Future Prospects", Rishabh Ranjan (IIT Jodhpur), Richa Singh (IIT Jodhpur), Mayank Vatsa (IIT Jodhpur), IJCAI 2023
"DisfluencyFixer: A tool to enhance Language Learning through Speech To Speech Disfluency Correction", Vineet Bhat (IIT Bombay), Preethi Jyothi (IIT Bombay), Pushpak Bhattacharyya (IIT Bombay), Interspeech 2023
"Narrator or Character: Voice Modulation in an Expressive Multi-speaker TTS", Pavan Kalyan (Indian Institute Of Technology Bombay), Preeti Rao (Indian Institute Of Technology Bombay), Preethi Jyothi (Indian Institute Of Technology Bombay), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), Interspeech 2023
"Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity?", Subba Reddy Oota (Inria Bordeaux, France), Veeral Agarwal (IIIT-Hyderabad), Mounika Marreddy (IIIT-Hyderabad), Manish Gupta (Microsoft, India), Bapi S. Raju (IIIT-Hyderabad), Interspeech 2023
"Svarah: Evaluating English ASR Systems on Indian Accents", Tahir Javed (IIT Madras, AI4Bharat), Sakshi Joshi (AI4Bharat), Vignesh Nagarajan (AI4Bharat), Sai Sundaresan (AI4Bharat), Janki Nawale (AI4Bharat), Abhigyan Raman (AI4Bharat), Kaushal Bhogale (IIT Madras, AI4Bharat), Pratyush Kumar (IIT Madras, Microsoft, AI4Bharat), Mitesh M. Khapra (IIT Madras, AI4Bharat), Interspeech 2023
"Technology Pipeline for Large Scale Cross-Lingual Dubbing of Educational Videos into Multiple Indian Languages", Anusha P, Arun Kumar, Ashish Seth, Bhagyashree M, Ishika Gupta, Jom Kuriakose, K V Vikram, Mano R Kumar M, Metilda S M, Mohana N, Navina K, Nihal G, Nithya Ravi, Pruthwik Mishra, Sudhanshu S, Vasista L, Vandan Mujahida, Vineet K, Vrundha S, Dipti Mishra, Hema A Murthy, Pushpak Bhattacharya, Srinivasan Umesh, Rajeev Sanga (IIT Bombay), Interspeech 2023
"Vistaar: Diverse Benchmarks and Training Sets for Indian Language ASR", Kaushal Bhogale (Indian Institute Of Technology, Madras), Sai Sundaresan (AI4Bharat), Abhigyan Raman (AI4Bharat), Tahir Javed (Indian Institute Of Technology Madras), Mitesh M. Khapra (Indian Institute Of Technology Madras), Pratyush Kumar (Indian Institute Of Technology Madras), Interspeech 2023
"MAUVE Scores for Generative Models: Theory and Practice", Krishna Pillutla (IIT Madras), Lang Liu (Citadel Securities), John Thickstun (Stanford University), Sean Welleck (CMU), Swabha Swayamdipta (USC), Rowan Zellers (OpenAI), Sewoong Oh (University Of Washington), Yejin Choi (University Of Washington), Zaid Harchaoui (University Of Washington), JMLR 2023
"Approximate inference of marginals using the IBIA framework", Shivani Bathla (IIT Madras), Vinita Vasudevan (IIT Madras), NeurIPS 2023
"Margin-based Adversarial Learning for Domain Generalization", Aveen Dayal (Indian Institute Of Technology, Hyderabad), Vimal K B (Indian Institute Of Technology, Hyderabad), Linga Reddy Cenkeramaddi (University Of Agder, Norway), C Krishna Mohan (Indian Institute Of Technology, Hyderabad), Abhinav Kumar (Indian Institute Of Technology, Hyderabad), Vineeth N Balasubramanian (Indian Institute Of Technology, Hyderabad), NeurIPS 2023
"Mitigating the Effect of Incidental Correlations on Part-based Learning", Gaurav Bhatt (University Of British Columbia), Deepayan Das (Indian Institute Of Technology Hyderabad), Leonid Sigal (University Of British Columbia), Vineeth N Balasubramanian (Indian Institute Of Technology Hyderabad), NeurIPS 2023
"A Case for Graphics-driven Query Processing", Harish Doraiswamy (Microsoft Research India), Vikas Kalagi (Microsoft Research India), Karthik Ramachandra (Microsoft Azure Data India), Jayant R. Haritsa (Indian Institute Of Science, Bangalore), PVLDB 2023
"Evaluating Cross-modal Generative Models Using Retrieval Task", Shivangi Bithel (IIT Delhi, New Delhi, India), Srikanta Bedathur (IIT Delhi, New Delhi, India), SIGIR 2023
"Explain Like I am BM25: Interpreting a Dense Model`s Ranked-List with a Sparse Approximation", Michael Llordes (University Of Glasgow, Glasgow, United Kingdom), Debasis Ganguly (University Of Glasgow, Glasgow, United Kingdom), Sumit Bhatia (Adobe Inc., Noida, India), Chirag Agarwal (Adobe Inc., Noida, India), SIGIR 2023
"Exploring 360-Degree View of Customers for Lookalike Modeling", Md Mostafizur Rahman (Rakuten Institute Of Technology, Tokyo, Japan), Daisuke Kikuta (Rakuten Institute Of Technology, Tokyo, Japan), Satyen Abrol (Rakuten Institute Of Technology, Bengaluru, India), Yu Hirate (Rakuten Institute Of Technology, Tokyo, Japan), Toyotaro Suzumura (The University Of Tokyo), Pablo S Loyola (Rakuten Institute Of Technology, Japan), Takuma Ebisu (Rakuten Institute Of Technology, Japan), Manoj Kondapaka (Rakuten Institute Of Technology, Japan), SIGIR 2023
"Extracting Complex Named Entities in Legal Documents via Weakly Supervised Object Detection", Hsiu Wei Yang (Thomson Reuters Labs, Toronto, ON, Canada), Abhinav Agrawal (Thomson Reuters Labs, Bangalore, India), SIGIR 2023
"Fairness for both Readers and Authors: Evaluating Summaries of User Generated Content", Garima Chhikara (Indian Institute Of Technology, Delhi Technological University, New Delhi, India), Kripabandhu Ghosh (Indian Institute Of Science Education And Research Kolkata, Mohanpur, India), Saptarshi Ghosh (Indian Institute Of Technology Kharagpur, Kharagpur, India), Abhijnan Chakraborty (Indian Institute Of Technology Delhi, New Delhi, India), SIGIR 2023
"Learning Through Interpolative Augmentation of Dynamic Curvature Spaces", Parth Chhabra (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), Atula Tejaswi Neerkaje (Manipal Institute Of Technology, Manipal, India), Shivam Agarwal (University Of Illinois At Urbana-Champaign, Urbana, IL, USA), Ramit Sawhney (Mohamed Bin Zayed University Of Artificial Intelligence, Abu Dhabi, UAE), Megh Thakkar (Birla Institute Of Technology And Science, Pilani), Preslav Nakov (Mohamed Bin Zayed University Of Artificial Intelligence), Sudheer Chava (Scheller College Of Business), SIGIR 2023
"News Popularity Beyond the Click-Through-Rate for Personalized Recommendations", Ashutosh Nayak (Samsung R&D Institute, Bangalore, India), Mayur Garg (Samsung R&D Institute, Bangalore, India), Rajasekhara Reddy Duvvuru Muni (Samsung R&D Institute, Bangalore, India), SIGIR 2023
"Personalized Retrieval over Millions of Items", Hemanth Vemuri (Microsoft), Sheshansh Agrawal (Microsoft), Shivam Mittal (Microsoft Research), Deepak Saini (Microsoft), Akshay Soni (Microsoft), Abhinav V. Sambasivan (Microsoft), Wenhao Lu (Microsoft), Yajun Wang (LinkedIn Corporation), Mehul Parsana (Google), Purushottam Kar (IIT Kanpur), Manik Varma (Microsoft Research), SIGIR 2023
"Quantifying and Leveraging User Fatigue for Interventions in Recommender Systems", Hitesh Sagtani (Sharechat, Bengaluru, India), Madan Gopal Jhawar (Sharechat, Bengaluru, India), Akshat Gupta (Sharechat, Bengaluru, India), Rishabh Mehrotra (Sharechat, Bengaluru, India), SIGIR 2023
"CADENCE: Offline Category Constrained and Diverse Query Generation for E-commerce Autosuggest", Abhinav Anand (Flipkart Internet Pvt. Ltd., Bengaluru, India), Surender Kumar (Flipkart Internet Pvt. Ltd., Bengaluru, India), Nandeesh Kumar (Indian Institute Of Science, Bengaluru, India), Samir Shah (Flipkart Internet Pvt. Ltd., Bengaluru, India), SIGKDD 2023
"Deep Encoders with Auxiliary Parameters for Extreme Classification", Kunal Dahiya (IIT Delhi), Sachin Yadav (Microsoft Research India), Sushant Sondhi (IIT Delhi), Deepak Saini (Microsoft), Sonu Mehta (Microsoft Research India & IIT Delhi), Jian Jiao (Microsoft), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), Manik Varma (Microsoft Research India), SIGKDD 2023
"Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference", Mayuresh Kunjir (Amazon Web Services, Berlin, Germany), Sanjay Chawla (Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar), Siddarth Chandrasekar (Indian Institute Of Technology Madras, Chennai, India), Devika Jay (Indian Institute Of Technology Madras, Chennai, India), Balaraman Ravindran (Indian Institute Of Technology Madras), SIGKDD 2023
"Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment", Atharva Kulkarni (Carnegie Mellon University, Pittsburgh, PA, USA), Sarah Masud (IIIT-Delhi, New Delhi, India), Vikram Goyal (IIIT-Delhi, New Delhi, India), Tanmoy Chakraborty (IIT Delhi, New Delhi, India), SIGKDD 2023
"Sketch-Based Anomaly Detection in Streaming Graphs", Siddharth Bhatia (TurboML, Delhi, India), Mohit Wadhwa (Google, Zurich, Switzerland), Kenji Kawaguchi (National University Of Singapore, Singapore, Singapore), Neil Shah (Snap Inc., Seattle, WA, USA), Philip S Yu (University Of Illinois At Chicago, Chicago, IL, USA), Bryan Hooi (National University Of Singapore), SIGKDD 2023
"Time-to-Event Modeling with Hypernetwork based Hawkes Process", Manisha Dubey (IIT Hyderabad, Kandi, India), P K Srijith (IIT Hyderabad, Kandi, India), Maunendra Sankar Desarkar (IIT Hyderabad, Kandi, India), SIGKDD 2023
"TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting", Vijay Ekambaram (IBM Research, Bangalore, India), Arindam Jati (IBM Research, Bangalore, India), Nam Nguyen (IBM Research, Yorktown Heights, USA), Phanwadee Sinthong (IBM Research, Yorktown Heights, USA), Jayant Ramarao Kalagnanam (IBM Research), SIGKDD 2023
"Fast Natural Language Based Data Exploration with Samples", Shubham Agarwal (Adobe Research, Bangalore, India), Gromit Yeuk Yin Chan (Adobe Research, San Jose, CA, USA), Shaddy Garg (Adobe Research, Bangalore, India), Tong Yu (Adobe Research, San Jose, CA, USA), Subrata Mitra (Adobe Research, Bangalore, India), SIGMOD 2023
"Beyond Digital ``Echo Chambers``: The Role of Viewpoint Diversity in Political Discussion", Rishav Hada (Microsoft Research India, Bengaluru, India), Amir Ebrahimi Fard (Maastricht University, Maastricht, Netherlands), Sarah Shugars (Rutgers University, New Brunswick, NJ, USA), Federico Bianchi (Stanford University, Stanford, CA, USA), Patricia Rossini (University Of Glasgow, Glasgow, United Kingdom), Dirk Hovy (Bocconi University, Milan, Italy), Rebekah Tromble (George Washington University, Washington, D.C., DC, USA), Nava Tintarev (Maastricht University, Maastricht, Netherlands), WSDM 2023
"BLADE: Biased Neighborhood Sampling based Graph Neural Network for Directed Graphs", Srinivas Virinchi (Amazon), Anoop Saladi (Amazon), WSDM 2023
"Global Counterfactual Explainer for Graph Neural Networks", Zexi Huang (University Of California, Santa Barbara), Mert Kosan (University Of California, Santa Barbara), Sourav Medya (University Of Illinois, Chicago), Sayan Ranu (IIT Delhi), Ambuj Singh (University Of California, Santa Barbara), WSDM 2023
"Learning and Maximizing Influence in Social Networks Under Capacity Constraints", Pritish Chakraborty (Indian Institute Of Technology Bombay), Sayan Ranu (Indian Institute Of Technology Delhi), Ipsit Mantri (Indian Institute Of Technology Bombay), Abir De (Indian Institute Of Technology Bombay), WSDM 2023
"NGAME: Negative Mining-aware Mini-batching for Extreme Classification", Kunal Dahiya (IIT Delhi), Nilesh Gupta (UT Austin), Deepak Saini (Microsoft), Akshay Soni (Microsoft), Yajun Wang (Linkedin), Kushal Dave (Microsoft), Jian Jiao (Microsoft), Gururaj K (Microsoft), Prasenjit Dey (Microsoft), Amit Singh (Microsoft), Deepesh Hada (Microsoft Research India), Vidit Jain (Microsoft Research India), Bhawna Paliwal (Microsoft Research India), Anshul Mittal (IIT Delhi), Sonu Mehta (Microsoft Research India & IIT Delhi), Ramachandran Ramjee (Microsoft Research India), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), Manik Varma (Microsoft Research India), WSDM 2023
"Unsupervised Question Duplicate and Related Questions Detection in e-learning platforms", Maksimjeet Chowdhary (IIIT Delhi, Delhi, India), Sanyam Goyal (IIIT Delhi, Delhi, India), Venktesh V (Indraprastha Institute Of Information Technology, Delhi, India), Mukesh Mohania (IIIT Delhi, Delhi, India), Vikram Goyal (IIIT Delhi, Delhi, India), WSDM 2023
"Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?", Anson Bastos (IIT, Hyderabad, India), Kuldeep Singh (Cerence GmbH And Zerotha Research, Germany), Abhishek Nadgeri (RWTH Aachen, Germany), Johannes Hoffart (SAP, Germany), Manish Singh (IIT Hyderabad, India), Toyotaro Suzumura (The University Of Tokyo, Japan), WWW 2023
"CausIL: Causal Graph for Instance Level Microservice Data", Sarthak Chakraborty (Adobe Research India), Shubham Agarwal (Adobe Research India), Shaddy Garg (Adobe India), Ayush Chauhan (The University Of Texas At Austin United States), Shiv Kumar Saini (Adobe Research India), WWW 2023
"HateProof: Are Hateful Meme Detection Systems really Robust?", Piush Aggarwal (CATALPA, FernUniversität In Hagen Hagen, Germany), Pranit Chawla (IIT Kharagpur), Mithun Das (IIT Kharagpur), Punyajoy Saha (IIT Kharagpur), Binny Mathew (IIT Kharagpur), Torsten Zesch (CATALPA, FernUniversität In Hagen Hagen, Germany), Animesh Mukherjee (IIT Kharagpur), WWW 2023
"Hidden Indicators of Collective Intelligence in Crowdfunding", Emőke-Ágnes Horvát (Northwestern University, USA), Henry Kudzanai Dambanemuya (Indian Institute Of Management Udaipur, India), Jayaram Uparna (Northwestern University, USA), WWW 2023
"Learning Faithful Attention for Interpretable Classification of Crisis-Related Microblogs under Constrained Human Budget", Thi Huyen Nguyen (L3S Research Center, Germany), Koustav Rudra (Indian Institute Of Technology (Indian School Of Mines) Dhanbad, India), WWW 2023
"Shield: Secure Allegation Escrow System with Stronger Guarantees", Nishat Koti (Indian Institute Of Science, India), Varsha Bhat Kukkala (Indian Institute Of Science, India), Arpita Patra (Indian Institute Of Science, India), Bhavish Raj Gopal (Indian Institute Of Science, India), WWW 2023
"Towards Fair Allocation in Social Commerce Platforms", Anjali Gupta (Indian Institute Of Technology Delhi), Shreyansh J Nagori (Indian Institute Of Technology Delhi), Abhijnan Chakraborty (Indian Institute Of Technology Delhi), Rohit Vaish (Indian Institute Of Technology Delhi), Sayan Ranu (Indian Institute Of Technology Delhi), Prajit Prashant Nadkarni (Flipkart), Narendra Varma Dasararaju (Flipkart), Muthusamy Chelliah (Flipkart), WWW 2023
"Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference", Zeel B Patel (IIT Gandhinagar), Palak Purohit (IIT Gandhinagar), Harsh M Patel (IIT Gandhinagar), Shivam Sahni (IIT Gandhinagar), Nipun Batra (IIT Gandhinagar), AAAI 2022
"Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation", Jogendra Nath Kundu (Indian Institute Of Science), Akshay Kulkarni (Indian Institute Of Science), Suvaansh Bhambri (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), AAAI 2022
"‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube", Krithika Ramesh (Manipal Institute Of Technology), Ashiqur R. KhudaBukhsh (Rochester Institute Of Technology), Sumeet Kumar (Indian School Of Business), AAAI 2022
"Beyond Learning Features: Training a Fully-functional Classifier with ZERO Instance-level Labels", Deepak Babu Sam (Indian Institute Of Science), Abhinav Agarwalla (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), AAAI 2022
"Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows", Param Budhraja (IIT Kharagpur), Mayank Baranwal (TCS Research, IIT Bombay), Kunal Garg (University Of Michigan, Ann Arbor), Ashish Hota (IIT Kharagpur), AAAI 2022
"CB+NN Ensemble to Improve Tracking Accuracy in Air Surveillance", Anoop Karnik Dasika (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), AAAI 2022
"Conditional Generative Model based Predicate-Aware Query Approximation", Nikhil Sheoran (University Of Illinois At Urbana-Champaign), Subrata Mitra (Adobe Research, Bangalore), Vibhor Porwal (Adobe Research, Bangalore), Siddharth Ghetia (IIT Roorkee), Jatin Varshney (IIT Roorkee), Tung Mai (Adobe Research), Anup Rao (Adobe Research), Vikas Maddukuri (IIT Roorkee), AAAI 2022
"Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training", Estelle Massart (University Of Oxford, UK National Physical Laboratory, UK), Vinayak Abrol (Indraprastha Institute Of Technology Delhi), AAAI 2022
"Deep Clustering of Text Representations for Supervision-Free Probing of Syntax", Vikram Gupta (ShareChat), Haoyue Shi (Toyota Technological Institute At Chicago), Kevin Gimpel (Toyota Technological Institute At Chicago), Mrinmaya Sachan (ETH Zurich), AAAI 2022
"Demystifying the Chinese Social Credit System: A Case Study on AI-Powered Control Systems in China", Vishakha Agrawal (Dayananda Sagar College Of Engineering, Bangalore, India), AAAI 2022
"Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data", Paolo Fraccaro (IBM Research Europe, Hartree Centre, Daresbury, United Kingdom), Nikola Stoyanov (IBM Research Europe, Hartree Centre, Daresbury, United Kingdom), Zaheed Gaffoor (IBM Research Africa, Nairobi, Kenya), Laura Elena Cue La Rosa (IBM Research Brazil, Sao Paolo, Brazil), Jitendra Singh (IBM Research India, Gurgaon, India), Tatsuya Ishikawa (IBM Research Japan, Tokyo, Japan), Blair Edwards (IBM Research Europe, Hartree Centre, Daresbury, United Kingdom), Anne Jones (IBM Research Europe, Hartree Centre, Daresbury, United Kingdom), Komminist Weldermariam (IBM Research Africa, Nairobi, Kenya), AAAI 2022
"ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions", Koushik Biswas (Department Of Computer Science, IIIT Delhi, New Delhi, India.), Sandeep Kumar (Department Of Computer Science, IIIT Delhi, New Delhi, India. Department Of Mathematics, Shaheed Bhagat Singh College, University Of Delhi, New Delhi, India), Shilpak Banerjee (Department Of Mathematics, IIIT Delhi, New Delhi, India), Ashish Kumar Pandey (Department Of Mathematics, IIIT Delhi, New Delhi, India), AAAI 2022
"Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-Profits in Improving Maternal and Child Health", Aditya Mate (Google Research India, Harvard University), Lovish Madaan (Google Research India), Aparna Taneja (Google Research India), Neha Madhiwalla (ARMMAN), Shresth Verma (Google Research India), Gargi Singh (Google Research India), Aparna Hegde (ARMMAN), Pradeep Varakantham (Singapore Management University), Milind Tambe (Google Research India), AAAI 2022
"Gradient Based Activations for Accurate Bias-Free Learning", Vinod K. Kurmi (KU Leuven), Rishabh Sharma (IIT Roorkee), Yash Vardhan Sharma (IIT Roorkee), Vinay P Namboodiri (University Of Bath), AAAI 2022
"Gradient Temporal Difference with Momentum: Stability and Convergence", Rohan Deb (Indian Institute Of Science, Bangalore), Shalabh Bhatnagar (Indian Institute Of Science, Bangalore), AAAI 2022
"How Private Is Your RL Policy? An Inverse RL Based Analysis Framework", Kritika Prakash (IIIT Hyderabad), Fiza Husain (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), Sujit Gujar (IIIT Hyderabad), AAAI 2022
"Implicit Gradient Alignment in Distributed and Federated Learning", Yatin Dandi (IIT Kanpur EPFL), Luis Barba (EPFL), Martin Jaggi (EPFL), AAAI 2022
"Interpretable Neural Subgraph Matching for Graph Retrieval", Indradyumna Roy (IIT Bombay), Venkata Sai Velugoti (IIT Bombay), Soumen Chakrabarti (IIT Bombay), Abir De (IIT Bombay), AAAI 2022
"Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning", Lokesh Nagalapatti (IIT Bombay), Ruhi Sharma Mittal (IBM Research), Ramasuri Narayanam (Adobe Research India), AAAI 2022
"Latent Time Neural Ordinary Differential Equations", Srinivas Anumasa (IIT Hyderabad), P. K. Srijith (IIT Hyderabad), AAAI 2022
"Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences", Vinayak Gupta (IIT Delhi), Srikanta Bedathur (IIT Delhi), Abir De (IIT Bombay), AAAI 2022
"LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents", Shounak Paul (IIT Kharagpur), Pawan Goyal (IIT Kharagpur), Saptarshi Ghosh (IIT Khargpur), AAAI 2022
"MINIMAL: Mining Models for Universal Adversarial Triggers", Yaman Kumar Singla (Adobe Media Data Science Research SUNY At Buffalo Indraprastha Institute Of Information Technology, Delhi), Swapnil Parekh (New York University), Somesh Singh (IIIT Delhi), Changyou Chen (University At Buffalo), Balaji Krishnamurthy (Adobe Media Data Science Research), Rajiv Ratn Shah (IIIT Delhi), AAAI 2022
"Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models", Changyu Chen (Singapore Management University), Avinandan Bose (Indian Institute Of Technology Kanpur), Shih-Fen Cheng (Singapore Management University), Arunesh Sinha (Singapore Management University), AAAI 2022
"Nice Perfume. How Long Did You Marinate in It? Multimodal Sarcasm Explanation", Poorav Desai (Indraprastha Institute Of Information Technology, Delhi (IIIT Delhi), India), Tanmoy Chakraborty (Indraprastha Institute Of Information Technology, Delhi (IIIT Delhi), India), Md Shad Akhtar (Indraprastha Institute Of Information Technology, Delhi (IIIT Delhi), India), AAAI 2022
"Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search", Animesh Sinha (Center For Computational Natural Sciences And Bioinformatics, International Institute Of Information Technology, Hyderabad Center For Quantum Science And Technology, International Institute Of Information Technology, Hyderabad), Utkarsh Azad (Center For Computational Natural Sciences And Bioinformatics, International Institute Of Information Technology, Hyderabad Center For Quantum Science And Technology, International Institute Of Information Technology, Hyderabad), Harjinder Singh (Center For Computational Natural Sciences And Bioinformatics, International Institute Of Information Technology, Hyderabad Center For Quantum Science And Technology, International Institute Of Information Technology, Hyderabad), AAAI 2022
"Self-supervised Enhancement of Latent Discovery in GANS", Silpa Vadakkeeveetil Sreelatha (TCS Research), Adarsh Kappiyath (Flytxt Mobile Solutions), S Sumitra (Indian Institute Of Space Science And Technology), AAAI 2022
"Sentiment and Emotion-aware Multi-modal Complaint Identification", Apoorva Singh (Indian Institute Of Technology Patna, India), Soumyodeep Dey (National Institute Of Technology Durgapur, India), Anamitra Singha (National Institute Of Technology Durgapur, India), Sriparna Saha (Indian Institute Of Technology Patna, India), AAAI 2022
"Towards Building ASR Systems for the Next Billion Users", Tahir Javed (IIT Madras, AI4Bharat), Sumanth Doddapaneni (AI4Bharat, RBCDSAI), Abhigyan Raman (AI4Bharat), Kaushal Santosh Bhogale (AI4Bharat), Gowtham Ramesh (AI4Bharat, RBCDSAI), Anoop Kunchukuttan (Microsoft, AI4Bharat), Pratyush Kumar (Microsoft, AI4Bharat), Mitesh M. Khapra (IIT Madras, AI4Bharat, RBCDSAI), AAAI 2022
"Universal and Tight Online Algorithms for Generalized-Mean Welfare", Siddharth Barman (Indian Institute Of Science), Arindam Khan (Indian Institute Of Science), Arnab Maiti (Indian Institute Of Technology, Kharagpur), AAAI 2022
"Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees", Yaman Kumar Singla (Adobe Media Data Science Research State University Of New York At Buffalo IIIT-Delhi), Sriram Krishna (IIIT Delhi), Rajiv Ratn Shah (IIIT Delhi), Changyou Chen (State University Of New York At Buffalo), AAAI 2022
"AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning", Matheus Aparecido Do Carmo Alves (Lancaster University, Lancaster, United Kingdom), Amokh Varma (Indian Institute Of Technology, Dalhi, India), Yehia Elkhatib (University Of Glasgow, Gasglow, United Kingdom), Leandro Soriano Marcolino (Lancaster University, Lancaster, United Kingdom), AAMAS 2022
"How Hard is Safe Bribery?", Neel Karia (Microsoft Research, Bengaluru, India), Faraaz Mallick (Indian Institute Of Technology, Kharagpur, Kharagpur, India), Palash Dey (Indian Institute Of Technology, Kharagpur, Kharagpur, India), AAMAS 2022
"Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment", Ganesh Ghalme (Technion Israel Institute Of Technology, Haifa, Israel), Vineet Nair (Technion Israel Institute Of Technology, Haifa, Israel), Vishakha Patil (Indian Institute Of Science, Bangalore, India), Yilun Zhou (Massachusetts Institute Of Technology, Cambridge, MA, USA), AAMAS 2022
"On Parameterized Complexity of Binary Networked Public Goods Game", Arnab Maiti (Indian Institute Of Technology Kharagpur, Kharagpur, India), Palash Dey (Indian Institute Of Technology Kharagpur, Kharagpur, India), AAMAS 2022
"Optimal Matchings with One-Sided Preferences: Fixed and Cost-Based Quotas", Santhini K A (Indian Institute Of Technology Madras, Madras, India), Govind S Sankar (Duke University, Durham, NC, USA), Meghana Nasre (Indian Institute Of Technology Madras, Madras, India), AAMAS 2022
"REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing", Sujit Gujar (IIIT Hyderabad), Samhita Kanaparthy (IIIT Hyderabad), Sankarshan Damle (IIIT Hyderabad), AAMAS 2022
"Selecting PhD Students and Projects with Limited Funding", Jatin Jindal (Google, Kanpur, India), Jérôme Lang (CNRS, PSL, Paris, France), Katarína Na Cechlárová (Pavol Jozef Safárik University, Kosice, Slovakia), Julien Lesca (Huawei Technologies, Paris, France), AAMAS 2022
"IndicBART: A Pre-trained Model for Indic Natural Language Generation", Raj Dabre (National Institute Of Information And Communications Technology), Himani Shrotriya (IIT Madras), Anoop Kunchukuttan (Microsoft), Ratish Puduppully (University Of Edinburgh), Mitesh M. Khapra (IIT Madras), Pratyush Kumar (IIT Madras), ACL 2022
"Input-specific Attention Subnetworks for Adversarial Detection", Emil Biju (IIT Madras), Anirudh Sriram (IIT Madras), Pratyush Kumar (IIT Madras), Mitesh M. Khapra (IIT Madras), ACL 2022
"Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming", Ayush Maheshwari (IIT Bombay), Krishnateja Killamsetty (University Of Texas At Dallas), Ganesh Ramakrishnan (IIT Bombay), Marina Danilevsky (IBM Research), Lucian Popa (IBM Research), Rishabh Iyer (University Of Texas At Dallas), ACL 2022
"Meta-X NLG : A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation", Kaushal Kumar Maurya (IIT Hyderabad), Maunendra Sankar Desarkar (IIT Hyderabad), ACL 2022
"OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages", Prem Selvaraj (AI4Bharat), Gokul NC (AI4Bharat), Pratyush Kumar (AI4Bharat), Mitesh Khapra (AI4Bharat), ACL 2022
"Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages", Vaidehi Patil (Indian Institute Of Technology Bombay), Partha Talukdar (Google Research India), Sunita Sarawagi (Indian Institute Of Technology Bombay), ACL 2022
"SyMCoM - Syntactic Measure of Code Mixing A Study Of English-Hindi Code-Mixing", Prashant Kodali (IIIT Hyderabad), Anmol Goel (IIIT Hyderabad), ACL 2022
"The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through", Shruti Singh (IIT Gandhinagar), Mayank Singh (IIT Gandhinagar), ACL 2022
"Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances", Suvodip Dey (IIT Hyderabad), Kummara Ramamohan (IIT Hyderabad), Maunendra Sankar Desarkar (IIT Hyderabad), ACL 2022
"A Transformer Based Approach for Activity Detection", Gulshan Sharma (Indian Institute Of Technology Ropar, Rupnagar, India), Abhinav Dhall (Indian Institute Of Technology Ropar & Monash University, Rupnagar, India), Ramanathan Subramanian (University Of Canberra, Canberra, India), ACM Multimedia 2022
"Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations", Prince Jha (Indian Institute Of Technology Patna), Gael Dias (Universite Of Caen Normandie), Alexis Lechervy (Universite Of Caen Normandie), Jose Moreno (University Of Toulouse), Anubhav Jangra (Google Research India), Sebastiao Pais (University Of Beira Interior), Sriparna Saha (Indian Institute Of Technology Patna), ACM Multimedia 2022
"DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games", Nikhil Bansal (International Institute Of Information Technology Hyderabad, Hyderabad, India), Kartik Gupta (International Institute Of Information Technology Hyderabad, Hyderabad, India), Kiruthika Kannan (International Institute Of Information Technology Hyderabad, Hyderabad, India), Sivani Pentapati (International Institute Of Information Technology Hyderabad, Hyderabad, India), Ravi Kiran Sarvadevabhatla (International Institute Of Information Technology Hyderabad, Hyderabad, India), ACM Multimedia 2022
"Everything is There in Latent Space: Attribute Editing and Attribute Style Manipulation by StyleGAN Latent Space Exploration", Rishubh Parihar (Indian Institute Of Science, Bengaluru, India), Ankit Dhiman (Indian Institute Of Science, Bengaluru, India), Tejan Karmali (Indian Institute Of Science, Bengaluru, India), Venkatesh Babu R (Indian Institute Of Science, Bengaluru, India), ACM Multimedia 2022
"Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors", Sindhu B Hegde (IIIT Hyderabad), Rudrabha Mukhopadhyay (IIIT Hyderabad), Vinay P Namboodiri (University Of Bath, United Kingdom), CV Jawahar (IIIT Hyderabad), ACM Multimedia 2022
"Graph-based Group Modelling for Backchannel Detection", Garima Sharma (Monash University, Melbourne, Australia), Kalin Stefanov (Monash University, Melbourne, Australia), Abhinav Dhall (Indian Institute Of Technology Ropar, Ropar, India), Jianfei Cai (Monash University, Melbounre, Australia), ACM Multimedia 2022
"Guess-It-Generator: Generating in a Lewis Signaling Framework through Logical Reasoning", Arghya Pal (Harvard University & Monash University, Boston, MA, USA), Sailaja Rajanala (Indian Institute Of Technology Hyderabad & Monash University, Hyderabad, India), Rapharl C W Phan (Monash Univesity, Kuala Lumpur, Malaysia), Koksheik Wong (Monash Univesity, Kuala Lumpur, Malaysia), ACM Multimedia 2022
"Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild", Sindhu B. Hegde (IIIT Hyderabad), K R Prajwal (University Of Oxford, United Kingdom), Rudrabha Mukhopadhyay (IIIT Hyderabad), Vinay P. Namboodiri (University Of Bath, United Kingdom), C.V. Jawahar (IIIT Hyderabad), ACM Multimedia 2022
"MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues", Puneet Mathur (University Of Maryland, College Park, College Park, MD, USA), Atula Tejaswi Neerkaje (Manipal Institute Of Technology, Manipal, UNK, India), Malika Chhibber (BITS Pilani, Goa Campus, Goa, UNK, India), Ramit Sawhney (Georgia Institute Of Technology, Atlanta, GA, USA), Fuming Guo (Fidelity Investments, New York, UNK, USA), Franck Dernoncourt (Adobe Research, San Jose, CA, USA), Sanghamitra Dutta (University Of Maryland, College Park, College Park, MD, USA), Dinesh Manocha (University Of Maryland, College Park, College Park, MD, USA), ACM Multimedia 2022
"Multiview Contrastive Learning for Completely Blind Video Quality Assessment of User Generated Content", Shankhanil Mitra (Indian Institute Of Science, Bangalore, India), Rajiv Soundararajan (Indian Institute Of Science, Bangalore, India), ACM Multimedia 2022
"Robust Actor Recognition in Entertainment Multimedia at Scale", Abhinav Aggarwal (Amazon, Bengaluru, India), Yash Pandya (Amazon, Bengaluru, India), Lokesh A Ravindranathan (Twitter, Bengaluru, India), Laxmi S Ahire (Amazon, Bengaluru, India), Manivel Sethu (Amazon, Bengaluru, India), Kaustav Nandy (Amazon, Bengaluru, India), ACM Multimedia 2022
"Semantics-Driven Generative Replay for Few-Shot Class Incremental Learning", Aishwarya Agarwal (Indian Institute Of Technology Bombay, Mumbai, India), Biplab Banerjee (Indian Institute Of Technology Bombay, Mumbai, India), F. Cuzzolin (Oxford Brookes University, Oxford, United Kingdom), Subhasis Chaudhuri (Indian Institute Of Technology Bombay, Mumbai, India), ACM Multimedia 2022
"Sentiment-aware Classifier for Out-of-Context Caption Detection", Muhannad Alkaddour (American University Of Sharjah, Sharjah, UAE), Abhinav Dhall (Indian Institute Of Technology Ropar, Rupnagar, India), Usman Tariq (American University Of Sharjah, Sharjah, UAE), Hasan Al-Nashash (American University Of Sharjah, Sharjah, UAE), Fares Al-Shargie (American University Of Sharjah, Sharjah, UAE), ACM Multimedia 2022
"xCloth: Extracting Template-free Textured 3D Clothes from a Monocular Image", Astitva Srivastava (IIIT Hyderabad, Hyderabad, India), Chandradeep Pokhariya (IIIT Hyderabad, Hyderabad, India), Sai Sagar Jinka (IIIT Hyderabad, Hyderabad, India), Avinash Sharma (IIIT Hyderabad, Hyderabad, India), ACM Multimedia 2022
"3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos", Vikram Gupta (ShareChat), Trisha Mittal (University Of Maryland), Puneet Mathur (University Of Maryland), Vaibhav Mishra (ShareChat), Mayank Maheshwari (ShareChat), Aniket Bera (University Of Maryland), Debdoot Mukherjee (ShareChat), Dinesh Manocha (University Of Maryland), CVPR 2022
"A Framework for Learning Ante-hoc Explainable Models via Concepts", Anirban Sarkar (IIT Hyderabad), Anindya Sarkar (IIT Hyderabad), Deepak Vijayakeerthy (IIT Hyderabad), V. Balasubramanian (IIT Hyderabad), CVPR 2022
"A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration", Ramya Hebbalaguppe (IIT Delhi), Jatin Prakash (IIT Delhi), Neelabh Madan (IIT Delhi), Chetan Arora (IIT Delhi), CVPR 2022
"ABO: Dataset and Benchmarks for Real-World 3D Object Understanding", Jasmine Collins (UC Berkeley,), Shubham Goel (UC Berkeley,), Kenan Deng (Amazon,), Achleshwar Luthra (BITS Pilani,), Leon Xu (UC Berkeley, Amazon,), Erhan Gundogdu (Amazon,), Xi Zhang (Amazon,), Tomas F. Yago Vicente (Amazon,), Thomas Dideriksen (Amazon,), Himanshu Arora (Amazon,), Matthieu Guillaumin (Amazon,), Jitendra Malik (UC Berkeley,), CVPR 2022
"AirObject: A Temporally Evolving Graph Embedding for Object Identification", Nikhil Varma Keetha (Carnegie Mellon University, IIT (ISM), Dhanbad, India,), Chen Wang (Carnegie Mellon University,), Yuheng Qiu (Carnegie Mellon University,), Kuan Xu (Geek+Corp,), Sebastian Scherer (Carnegie Mellon University,), CVPR 2022
"ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes", Rahul Sajnani (RRC, IIIT-Hyderabad,), Adrien Poulenard (Stanford University,), Jivitesh Jain (RRC, IIIT-Hyderabad,), Radhika Dua (KAIST,), Leonidas J. Guibas (Stanford University,), Srinath Sridhar (Brown University,), CVPR 2022
"Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning", Arnav Chavan (Transmute AI Lab (Texmin Hub), Indian Institute Of Technology, ISM Dhanbad,), Rishabh Tiwari (Transmute AI Lab (Texmin Hub), Indian Institute Of Technology, ISM Dhanbad,), Udbhav Bamba (Transmute AI Lab (Texmin Hub), Indian Institute Of Technology, ISM Dhanbad,), Deepak K. Gupta (Transmute AI Lab (Texmin Hub), Indian Institute Of Technology, ISM Dhanbad,), CVPR 2022
"Ego4D: Around the World in 3,000 Hours of Egocentric Video", Kristen Grauman (Meta AI, University Of Texas At Austin,), Andrew Westbury (Meta AI,), Eugene Byrne (Meta AI,), Zachary Chavis (University Of Minnesota,), Antonino Furnari (University Of Catania,), Rohit Girdhar (Meta AI,), Jackson Hamburger (Meta AI,), Hao Jiang (Meta Reality Labs,), Miao Liu (Georgia Tech,), Xingyu Liu (Carnegie Mellon University,), Miguel Martin (Meta AI,), Tushar Nagarajan (Meta AI, University Of Texas At Austin,), Ilija Radosavovic (UC Berkeley,), Santhosh Kumar Ramakrishnan (Meta AI, University Of Texas At Austin,), Fiona Ryan (Georgia Tech,), Jayant Sharma (University Of Minnesota,), Michael Wray (University Of Bristol,), Mengmeng Xu (King Abdullah University Of Science And Technology,), Eric Zhongcong Xu (National University Of Singapore,), Chen Zhao (King Abdullah University Of Science And Technology,), CVPR 2022
"Energy-based Latent Aligner for Incremental Learning", Joseph K J (IIT-Hyderabad), Salman Khan (MBZUAI), Fahad Khan (MBZUAI), Rao Anwar (MBZUAI), Vineeth N Balasubramanian (IIT-Hyderabad), CVPR 2022
"FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing", Pradeep Shenoy (Google Research India), Pranav Gupta (IIIT-H), Ravi Kiran Sarvadevabhatla (IIIT Hyderabad), Rishubh Singh (Google Research India), CVPR 2022
"GCR: Gradient coreset based replay buffer selection for continual learning", Krishnateja Killamsetty (University Of Texas), Pradeep Shenoy (Google Research India), Rishabh Iyer (University Of Texas), Rishabh Tiwari (IIT ISM), CVPR 2022
"Generative Cooperative Learning for Unsupervised Video Anomaly Detection", M. Zaigham Zaheer (Electronics And Telecommunications Research Institute, Univ. Of Science And Technology, ETH Zurich, Mohamed Bin Zayed Univ. Of Artificial Intelligence,), Arif Mahmood (Information Technology Univ. Punjab,), M. Haris Khan (Mohamed Bin Zayed Univ. Of Artificial Intelligence,), Mattia Segu (ETH Zurich,), Fisher Yu (ETH Zurich,), Seung-Ik Lee (Electronics And Telecommunications Research Institute, Univ. Of Science And Technology,), CVPR 2022
"GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking", Abhishek Kumar (Department Of Artificial Intelligence, Kyungpook National University, Daegu, South Korea,), Oladayo S. Ajani (Department Of Artificial Intelligence, Kyungpook National University, Daegu, South Korea,), Swagatam Das (Electronics And Communication Sciences Unit, Indian Statistical Institute, Kolkata, India,), Rammohan Mallipeddi (Department Of Artificial Intelligence, Kyungpook National University, Daegu, South Korea,), CVPR 2022
"Merry Go Round: Rotate a Frame and Fool a DNN", Daksh Thapar (IIT Mandi), Aditya Nigam (IIT Mandi), Chetan Arora (IIT Delhi), CVPR 2022
"OW-DETR: Open-world Detection Transformer", Akshita Gupta (IIAI, UAE), Sanath Narayan (IIAI, UAE), Joseph K J (IIT-Hyderabad), Salman Khan (MBZUAI, UAE), Fahad Khan (MBZUAI, UAE), Mubarak Shah (UCF, USA), CVPR 2022
"Proto2Proto: Can you recognize the car, the way I do?", Monish Keswani (IIT Hyderabad), Sriranjani Ramakrishnan (IIT Hyderabad), Nishant Reddy (IIT Hyderabad), Vineeth N Balasubramanian (IIT Hyderabad), CVPR 2022
"Robust outlier detection by de-biasing VAE likelihoods", Barath Mohan U (IISc), Kushal Chauhan (Google Research India), Manish Gupta (Google Research India), Pradeep Shenoy (Google Research India), Sridhar Devarajan (IISc), CVPR 2022
"Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique", Koushik Biswas (IIIT Delhi,), Sandeep Kumar (IIIT Delhi, Shaheed Bhagat Singh College, University Of Delhi,), Shilpak Banerjee (IIT Tirupati,), Ashish Kumar Pandey (IIIT Delhi,), CVPR 2022
"Spacing Loss for Discovering Novel Categories", Gaurav Aggarwal (Google Research India), Joseph K J (Google Research), Kai Han (Google Research), Piyush Rai (Google Research), Soma Biswas (IISc), Sujoy Paul (Google Research India), Vineeth N Balasubramanian (Indian Institute Of Technology), CVPR 2022
"Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning", Soumen Basu (IIT Delhi), Mayank Gupta (IIT Delhi), Pratyaksha Rana (PGIMER Chandigarh), Pankaj Gupta (PGIMER Chandigarh), Chetan Arora (IIT Delhi), CVPR 2022
"Towards Data-Free Model Stealing in a Hard Label Setting", Sunandini Sanyal (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore,), Sravanti Addepalli (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore,), CVPR 2022
"Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation", Jogendra Nath Kundu (Indian Institute Of Science, Bangalore,), Siddharth Seth (Indian Institute Of Science, Bangalore,), Pradyumna YM (Indian Institute Of Science, Bangalore,), Varun Jampani (Google Research,), Anirban Chakraborty (Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore,), CVPR 2022
"Unseen Classes at a Later Time? No Problem", Hari Chandana Kuchibhotla (IIT Hyderabad), Sumitra S Malagi (IIT Hyderabad), Shivam Chandhok (INRIA, Universite Grenoble Alpes), Vineeth N Balasubramanian (IIT Hyderabad), CVPR 2022
"Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space", Arnav Chavan (IIT Dhanbad, MBZUAI,), Zhiqiang Shen (CMU, MBZUAI,), Zhuang Liu (UC Berkeley,), Zechun Liu (Reality Labs, Meta Inc.,), Kwang-Ting Cheng (HKUST,), Eric Xing (CMU, MBZUAI,), CVPR 2022
"Attaining Class-level Forgetting in Pretrained Model using Few Samples", Pravendra Singh (IIT Roorkee), Pratik Mazumder (IIT Jodhpur), Mohammed Asad Karim (Carnegie Mellon University, USA), ECCV 2022
"Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer", Arjun Ashok (IIT Hyderabad & PSG College Of Technology, Coimbatore), K. J. Joseph (IIT Hyderabad), Vineeth N. Balasubramanian (IIT Hyderabad), ECCV 2022
"Completely Self-Supervised Crowd Counting via Distribution Matching", Deepak B. S. (Indian Institute Of Science), Abhinav A. (Indian Institute Of Science), Jimmy Joseph (Indian Institute Of Science), Vishwanath S. (Johns Hopkins University), R. Venkatesh Babu (Indian Institute Of Science), Vishal Patel (Johns Hopkins University), ECCV 2022
"Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation", Jogendra Nath Kundu (Indian Institute Of Science), Suvaansh B. (Indian Institute Of Science), Akshay Kulkarni (Indian Institute Of Science), Hiran S. (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"Distilling the Undistillable: Learning from a Nasty Teacher", Surgan Jandial (Adobe MDSR Labs), Yash Khasbage (IIT Hyderabad), Arghya Pal (Dept. Of Psychiatry And Radiology, Harvard), Vineeth N Balasubramanian (IIT Hyderabad), Balaji Krishnamurthy (Adobe MDSR Labs), ECCV 2022
"Hierarchical Semantic Regularization of Latent Spaces in StyleGANs", Tejan Karmali (Indian Institute Of Science), Rishubh Parihar (Indian Institute Of Science), Susmit A. (Indian Institute Of Science), Harsh Rangwani (Indian Institute Of Science), Varun Jampani (Google Research), Maneesh Singh (Verisk), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"Improving GANs for Long-Tailed Data through Group Spectral Regularization", Harsh Rangwani (Indian Institute Of Science), Naman J. (Indian Institute Of Science), Tejan Karmali (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"Learning from Unlabeled 3D Environments for Vision-and-Language Navigation", Shizhe Chen (Inria Paris), Pierre-Louis Guhur (Inria Paris), Makarand Tapaswi (IIIT Hyderabad), Cordelia Schmid (Inria Paris), Ivan Laptev (Inria Paris), ECCV 2022
"Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions", Nikhil Reddy (University Of Queensland – IIT Delhi Academy Of Research (UQIDAR)), Abhinav Singhal (IIT Delhi), Abhishek Kumar (IIT Delhi), Mahsa Baktashmotlagh (The University Of Queensland), Chetan Arora (IIT Delhi), ECCV 2022
"My View is the Best View: Procedure Learning from Egocentric Videos", Siddhant Bansal (IIIT Hyderabad), Chetan Arora (IIT Delhi), C.V. Jawahar (IIIT Hyderabad), ECCV 2022
"Novel Class Discovery without Forgetting", Joseph K J (IIT Hyderabad), Sujoy Paul (Google Research), Soma Biswas (Indian Institute Of Science), Piyush Rai (IIT Kanpur), Kai Han (The University Of Hong Kong), Vineeth N Balasubramanian (IIT Hyderabad), ECCV 2022
"Scaling Adversarial Training to Large Perturbation Bounds", Sravanti Addepalli (Indian Institute Of Science), Samyak Jain (Indian Institute Of Science), Gaurang S. (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning", Soma Biswas (Indian Institute Of Science), Jayateja Kalla (Indian Institute Of Science), ECCV 2022
"Towards Efficient and Effective Self-Supervised Learning of Visual Representations", Sravanti Addepalli (Indian Institute Of Science), Kaushal Bhogale (Indian Institute Of Science), Priyam Dey (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), ECCV 2022
"A Journey from Commit Processing in Distributed Databases to Consensus in Blockchain", Kamal Kant (“2025” Dept. Of Computer Sc. & Engg., M. M. M. University Of Technology, Gorakhpur, India,), Sarvesh Pandey (“Supervised By” Dept. Of Computer Science, MMV, BHU, Varanasi, India,), Udai Shanker (“Supervised By” Dept. Of Computer Sc. & Engg., M. M. M. U. T., Gorakhpur, India,), ICDE 2022
"An Extended SSD-Based Cache for Efficient Object Store Access in SAP IQ", Sagar Shedge (SAP Labs, Pune, Maharashtra, India,), Nishant Sharma (SAP Labs, Pune, Maharashtra, India,), Anant Agarwal (SAP Labs, Pune, Maharashtra, India,), Mohammed Abouzour (SAP Labs, Waterloo, Ontario, Canada,), Güneş Aluç (SAP Labs, Waterloo, Ontario, Canada,), ICDE 2022
"On Efficient Large Maximal Biplex Discovery (Extended abstract)", Kaiqiang Yu (Nanyang Technological University, Singapore, Singapore,), Cheng Long (Nanyang Technological University, Singapore, Singapore,), Deepak P (Queen`s University Belfast, Belfast, UK,), Tanmoy Chakraborty (IIIT-Delhi, New Delhi, India,), ICDE 2022
"On the Fairness of Time-Critical Influence Maximization in Social Networks (Extended Abstract)", Junaid Ali (Max Planck Institute For Software Systems,), Mahmoudreza Babaei (Max Planck Institute For Human Development,), Abhijnan Chakraborty (Indian Institute Of Technology, Delhi,), Baharan Mirzasoleiman (UCLA,), Krishna P. Gummadi (Max Planck Institute For Software Systems,), Adish Singla (Max Planck Institute For Software Systems,), ICDE 2022
"Revisiting Link Prediction on Heterogeneous Graphs with A Multi-view Perspective", Anasua Mitra (Indian Institute Of Technology Guwahati), Priyesh Viajayan (McGill University & MILA), Ranbir Sanasam (Indian Institute Of Technology Guwahati), Diganta Goswami (Indian Institute Of Technology Guwahati), Srinivasan Parthasarathy (Ohio State University), Balaraman Ravindran (Indian Institute Of Technology Madras), ICDE 2022
"Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective", Anasua Mitra (Indian Institute Of Technology, Guwahati, India,), Priyesh Vijayan (Ohio State University, Ohio, USA,), Sanasam Ranbir Singh (Indian Institute Of Technology, Guwahati, India,), Diganta Goswami (Indian Institute Of Technology, Guwahati, India,), Srinivasan Parthasarathy (McGill University & MILA, Montreal, Canada,), Balaraman Ravindran (Robert Bosch Centre For Data Science And AI Indian Institute Of Technology Madras, Chennai, India,), ICDM 2022
"THINK: Temporal Hypergraph Hyperbolic Network", Shivam Agarwal (University Of Illinois At Urbana-Champaign,), Ramit Sawhney (Georgia Institute Of Technology,), Megh Thakkar (BITS Pilani,), Preslav Nakov (Mohamed Bin Zayed University Of Artificial Intelligence,), Jiawei Han (University Of Illinois At Urbana-Champaign,), Tyler Derr (Vanderbilt University,), ICDM 2022
"A Theory of Tournament Representations", Arun Rajkumar (Indian Institute Of Technology Madras), Abdul Bakey Mir (Indian Institute Of Technology Madras), Vishnu Veerathu (Cohesity Inc), ICLR 2022
"Focus on the Common Good: Group Distributional Robustness Follows.", Vihari Piratla (IIT Bombay), Praneeth Netrapalli (Google Research), Sunita Sarawagi (IIT Bombay), ICLR 2022
"IGLU: Efficient GCN Training via Lazy Updates", S Deepak Narayanan (ETH Zurich), Aditya Sinha (Google Research India), Prateek Jain (Google Research India), Purushottam Kar (IIT Kanpur), Sundararajan Sellamanickam (Microsoft Research India), ICLR 2022
"Minimax optimization with Smooth Algorithmic Adversaries", Chi Jin (Princeton University), Lillian Ratliff (University Of Washington), Praneeth Netrapalli (Google Research India), Tanner Fiez (University Of Washington), ICLR 2022
"Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs", Dheeraj Nagaraj (Google Research India, MIT), Naman Agarwal (Google Research India), Praneeth Netrapalli (Google Research India), Prateek Jain (Google Research India), Syomantak Chaudhari (University Of California), ICLR 2022
"Symbolic Binding in Neural Networks through Factorized Memory Systems", Ameya Shrikant Daigavane (Google Research India), Ansh Khurana (Google Research India), Gaurav Aggarwal (Google Research India), Shweta Bhardwaj (Google Research India), ICLR 2022
"A Closer Look at Smoothness in Domain Adversarial Training", Harsh Rangwani (Indian Institute Of Science), Sumukh Aithal (Indian Institute Of Science), Mayank Mishra (Indian Institute Of Science), Arihant Jain (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), ICML 2022
"Balancing Discriminability and Transferability for Source-Free Domain Adaptation", Jogendra Nath Kundu (Indian Institute Of Science), Akshay Kulkarni (Indian Institute Of Science), Suvaansh Bhambri (Indian Institute Of Science), Deepesh M. (Indian Institute Of Science), Shreyas K. (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), ICML 2022
"Matching Learned Causal Effects of Neural Networks with Domain Priors", Sai Srinivas Kancheti (Indian Institute Of Technology, Hyderabad), Abbavaram Gowtham Reddy (Indian Institute Of Technology, Hyderabad), Amit Sharma (Microsoft Research India), Vineeth N Balasubramanian (Indian Institute Of Technology, Hyderabad), ICML 2022
"VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis", Tathagat Verma (IIT Bombay), Abir De (IIT Bombay), Yateesh Agrawal (IIT Bombay), Vishwa Vinay (Adobe Research), Soumen Chakrabarti (IIT Bombay), ICML 2022
"Rectification-based Knowledge Retention for Task Incremental Learning", Pratik Mazumde (IIT Jodhpur), Pravendra Singh (IIT Roorkee), Piyush Rai (IIT Kanpur), Vinay P. Namboodiri (University Of Bath, UK), IEEE PAMI 2022
"Fundamental Limits of Deep Graph Convolutional Networks for Graph Classification", Abram Magner (University At Albany (SUNY), Albany), Mayank Baranwal (Tata Consultancy Services Research, Mumbai), Alfred O. Hero (University Of Michigan, Ann Arbor), IEEE Transactions on Information Theory 2022
"Am I No Good? Towards Detecting Perceived Burdensomeness and Thwarted Belongingness from Suicide Notes", Soumitra Ghosh (Department Of Computer Science And Engineering, IIT Patna, India), Asif Ekbal (Department Of Computer Science And Engineering, IIT Patna, India), Pushpak Bhattacharyya (Department Of Computer Science And Engineering, IIT Bombay, India), IJCAI 2022
"Air tissue boundary segmentation using regional loss in real-time Magnetic Resonance Imaging video for speech production", Anwesha Roy (Indian Institute Of Science), Varun Belagali (Indian Institute Of Science), Prasanta Ghosh (Indian Institute Of Science), Interspeech 2022
"Gram vaani asr challenge on spontaneous telephone speech recordings in regional variations of hindi", Anish Bhanushali (IIT Madras), Grant Bridgman (Uliza), Deekshitha G (Indian Institute Of Science), Prasanta Ghosh (Indian Institute Of Science), Pratik Kumar (Indian Institute Of Science), Saurabh Kumar (Indian Institute Of Science), Adithya Raj Kolladath (IIT Madras), Nithya Ravi (IIT Madras), Aaditeshwar Seth (IIT Delhi), Ashish Seth (IIT Madras), Abhayjeet Singh (Indian Institute Of Science), Vrunda Sukhadia (IIT Madras), Umesh S (IIT Madras), Sathvik Udupa (Indian Institute Of Science), Lodagala V. S. V. Durga Prasad (IIT Madras), Interspeech 2022
"Streaming model for Acoustic to Articulatory Inversion with transformer networks", Sathvik Udupa (Indian Institute Of Science), Aravind Illa (Amazon), Prasanta Ghosh (Indian Institute Of Science), Interspeech 2022
"Watch Me Speak: 2D Visualization of Human Mouth during Speech", C Siddarth (Indian Institute Of Information Technology), Sathvik Udupa (Indian Institute Of Science), Prasanta Kumar (Indian Institute Of Science), Interspeech 2022
"Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics", Harsh Rangwani (Indian Institute Of Science), Shrinivas Ramasubramanian (Indian Institute Of Science), Sho Takemori (Fujitsu), Kato Takashi (Fujitsu), Yuhei Umeda (Fujitsu), R. Venkatesh Babu (Indian Institute Of Science), NeurIPS 2022
"Efficient and Effective Augmentation Strategy for Adversarial Training", Sravanti Addepalli (Indian Institute Of Science), Samyak Jain (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), NeurIPS 2022
"Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data", Harsh Rangwani (Indian Institute Of Science), Sumukh K Aithal (Indian Institute Of Science), Mayank Mishra (Indian Institute Of Science), R. Venkatesh Babu (Indian Institute Of Science), NeurIPS 2022
"Learnability of Linear Thresholds from Label Proportions", Rishi Saket (Google Research India), NeurIPS 2022
"Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network", Ravinder Bhattoo (IIT Delhi), Sayan Ranu (IIT Delhi), N. M. Anoop Krishnan (IIT Delhi), NeurIPS 2022
"Learning Recourse on Instance Environment to Enhance Prediction Accuracy", Lokesh Nagalapatti (IIT Bombay), Guntakanti Sai Koushik (IIT Bombay), Abir De (IIT Bombay), Sunita Sarawagi (IIT Bombay), NeurIPS 2022
"Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks", Indradyumna Roy (IIT Bombay), Soumen Chakrabarti (IIT Bombay), Abir De (IIT Bombay), NeurIPS 2022
"Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection", Abir De (IIT Bombay), Soumen Chakrabarti (IIT Bombay), NeurIPS 2022
"Probing Classifiers are Unreliable for Concept Removal and Detection", Abhinav Kumar (Microsoft Research India), Chenhao Tan (University Of Chicago), Amit Sharma (Microsoft Research India), NeurIPS 2022
"Root Cause Analysis of Failures in Microservices through Causal Discovery", Azam Ikram (Purdue University), Sarthak Chakraborty (Adobe Research), Subrata Mitra (Adobe Research), Shiv Kumar Saini (Adobe Research), Saurabh Bagchi (Purdue University), Murat Kocaoglu (Purdue University), NeurIPS 2022
"Subsidiary Prototype Alignment for Universal Domain Adaptation", Jogendra Nath Kundu (Indian Institute Of Science), Suvaansh Bhambri (Indian Institute Of Science), Akshay Kulkarni (Indian Institute Of Science), Hiran Sarkar (Indian Institute Of Science), Varun Jampani (Google Research), R. Venkatesh Babu (Indian Institute Of Science), NeurIPS 2022
"Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems", Abishek Thangamuthu (IIT Delhi), Gunjan Kumar (IIT Delhi), Suresh Bishnoi (IIT Delhi), Ravinder Bhattoo (IIT Delhi), N M Anoop Krishnan (IIT Delhi), Sayan Ranu (IIT Delhi), NeurIPS 2022
"When to Intervene: Learning Optimal Intervention Policies for Critical Events", Niranjan Damera Venkata (HP Inc. (Chennai)), Chiranjib Bhattacharyya (IISc (Bangalore)), NeurIPS 2022
"Deep Indexed Active Learning for Matching Heterogeneous Entity Representations.", Arjit Jain (IIT Bombay), Sunita Sarawagi (IIT Bombay), and Prithviraj Sen (IBM Research, Almaden), PVLDB 2022
"New wine in an old bottle: Data-aware hash functions for Bloom filters", Arindam Bhattacharya (IIT Delhi), Chathur Gudesa (IIT Delhi), Amitabha Bagchi (IIT Delhi), Srikanta Bedathur (IIT Delhi), PVLDB 2022
"Projection-Compliant Database Generation", Anupam Sanghi (Indian Institute Of Science), Shadab Ahmed (Indian Institute Of Science), Jayant R Haritsa (Indian Institute Of Science), PVLDB 2022
"A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection in Multi-modal Code-Mixed Memes", Krishanu Maity (Indian Institute Of Technology Patna), Prince Jha (Indian Institute Of Technology Patna), Sriparna Saha (Indian Institute Of Technology Patna), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), SIGIR 2022
"An Efficient Fusion Mechanism for Multimodal Low-resource Setting", Dushyant Singh Chauhan (Department Of Computer Science & Engineering Indian Institute Of Technology Patna, India), Asif Ekbal (Department Of Computer Science & Engineering Indian Institute Of Technology Patna, India), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay Bombay, India), SIGIR 2022
"CAVES: A dataset to facilitate explainable classification and summarization of concerns towards COVID vaccines", Soham Poddar (IIT Kharagpur), Azlaan Mustafa Samad (IIT Kharagpur), Rajdeep Mukherjee (IIT Kharagpur), Niloy Ganguly (IIT Kharagpur; Leibniz University), Saptarshi Ghosh (IIT Kharagpur), SIGIR 2022
"Curriculum Learning for Dense Retrieval Distillation", Hansi Zeng (University Of Massachusetts Amherst, Amherst, MA, USA), Hamed Zamani (University Of Massachusetts Amherst, Amherst, MA, USA), Vishwa Vinay (Adobe Research, Bangalore, AA, India), SIGIR 2022
"Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities", Vishwa Vinay (Adobe Research, Bangalore, India), Manoj Kilaru (University Of California, San Diego, CA, USA), David T Arbour (Adobe Research, San Jose, CA, USA), SIGIR 2022
"Towards Motivational and Empathetic Response Generation in Online Mental Health Support", Tulika Saha, Vaibhav Gakhreja, Anindya Sundar Das, Souhitya Chakraborty, Sriparna Saha (Indian Institute Of Technology Patna), SIGIR 2022
"A Process-Aware Decision Support System for Business Processes", Prerna Agarwal (IBM Research, New Delhi, UNK, India), Buyu Gao (IBM Research, Beijing, UNK, China), Siyu Huo (IBM Research, Yorktown Heights, NY, USA), Prabhat Reddy (IBM Research, Yorktown Heights, NY, USA), Sampath Dechu (IBM Research, Cambridge, MA, USA), Yazan Obeidi (IBM Canada Ltd.), Vinod Muthusamy (IBM Research), Vatche Isahagian (IBM Research), Sebastian Carbajales (IBM Canada Ltd.), SIGKDD 2022
"ASPIRE: Air Shipping Recommendation for E-Commerce Products via Causal Inference Framework", Abhirup Mondal (Amazon, India), Anirban Majumder (Amazon, India), Vineet Chaoji (Amazon, India), SIGKDD 2022
"BE3R: BERT based Early-Exit Using Expert Routing", Sourab Mangrulkar (Amazon, Bengaluru, India), Ankith M S (Amazon, Bengaluru, India), Vivek Sembium (Amazon, Bengaluru, India), SIGKDD 2022
"COBART: Controlled, Optimized, Bidirectional and Auto-Regressive Transformer for Ad Headline Generation", Yashal Shakti Kanungo (Amazon, Seattle, WA, USA), Gyanendra Das (Amazon, Bangalore, India), Pooja A (Amazon, Bangalore, India), Sumit Negi (Amazon, Bangalore, India), SIGKDD 2022
"Counseling Summarization Using Mental Health Knowledge Guided Utterance Filtering", Aseem Srivastava (IIIT-Delhi, Delhi, UNK, India), Tharun Suresh (IIIT-Delhi, Delhi, UNK, India), Sarah P Lord (Mpathic.ai), University Of Washington, Bellevue, WA, USA (), Md Shad Akhtar (IIIT-Delhi, Delhi, UNK, India), Tanmoy Chakraborty (Indian Institute Of Technology Delhi), SIGKDD 2022
"Multi-Variate Time Series Forecasting on Variable Subsets", Jatin Chauhan (Google Research, Bangalore, India), Aravindan Raghuveer (Google Research, Bangalore, India), Rishi Saket (Google Research, Bangalore, India), Jay Nandy (Google Research, Bangalore, India), Balaraman Ravindran (Indian Institute Of Technology, Madras, Chennai, India), SIGKDD 2022
"ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences", Vinayak Gupta (IIT Delhi), Srikanta Bedathur (IIT Delhi), SIGKDD 2022
"Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization", Sarah Masud (IIIT-Delhi, Delhi, UNK, India), Manjot Bedi (Northeastern University, Boston, UNK, USA), Mohammad Aflah Khan (IIIT-Delhi, Delhi, UNK, India), Md Shad Akhtar (IIIT-Delhi, Delhi, UNK, India), Tanmoy Chakraborty (Indian Institute Of Technology Delhi), SIGKDD 2022
"Efficient Insights Discovery through Conditional Generative Model based Query Approximation", Vibhor Porwal (Adobe Research, Bangalore, India), Subrata Mitra (Adobe Research, Bangalore, India), Fan Du (Adobe Research, San Jose, CA, USA), John Anderson (Adobe Inc., San Jose, CA, USA), Nikhil Sheoran (University Of Illinois At Urbana-Champaign, Champaign, IL, USA), Anup Rao (Adobe Inc.), Tung Mai (Adobe Inc.), Gautam Kowshik (Adobe Inc.), Sapthotharan Nair (Adobe Inc.), Sameeksha Arora (Adobe Inc.), Saurabh Mahapatra (Adobe Inc.), SIGMOD 2022
"Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction", Suchana Datta (University College Dublin, Dublin, Ireland), Debasis Ganguly (University Of Glasgow, Glasgow, United Kingdom), Derek Greene (University College Dublin, Dublin, Ireland), Mandar Mitra (Indian Statistical Institute, Kolkata, India), WSDM 2022
"MTLVS: A Multi-Task Framework to Verify and Summarize Crisis-Related Microblogs", Rajdeep Mukherjee (IIT Kharagpur, India), Uppada Vishnu (IIT Kharagpur, India), Hari Chandana Peruri (IIT Kharagpur, India), Sourangshu Bhattacharya (IIT Kharagpur, India), Koustav Rudra (IIT (ISM) Dhanbad, India), Pawan Goyal (IIT Kharagpur, India), Niloy Ganguly (IIT Kharagpur, India And Leibniz University Of Hannover, Germany), WSDM 2022
"Semi-supervised stance detection of tweets via distant network supervision", Subhabrata Dutta (Jadavpur University), Samiya Caur (IIIT Delhi), Soumen Chakrabarti (IIT Bombay), Tanmoy Chakraborty (IIIT Delhi), WSDM 2022
"Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations", Ganeshan Malhotra (BITS Pilani, Goa, India), Abdul Waheed (Maharaja Agrasen Institute Of Technology, New Delhi, India), Aseem Srivastava (IIIT-Delhi, Delhi, India), Md Shad Akhtar (IIIT-Delhi, Delhi, India), Tanmoy Chakraborty (IIIT-Delhi, Delhi, India), WSDM 2022
"The Multi-vehicle Ride-Sharing Problem", Kelin Luo (Eindhoven University Of Technology & University Of Bonn, Eindhoven, Netherlands), Chaitanya Agarwal (New York University, New York, NY, USA), Syamantak Das (Indraprastha Institute Of Information Technology Delhi, Delhi, India), Xiangyu Guo (University At Buffalo, Buffalo, NY, USA), WSDM 2022
"Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers", Abhisek Dash (IIT Kharagpur), Abhijnan Chakraborty (IIT Delhi), Saptarshi Ghosh (IIT Kharagpur), Animesh Mukherjee (IIT Kharagpur), Krishna P. Gummadi (Max Planck Institute For Software Systems (MPI-SWS)), WWW 2022
"AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations", Sk Mainul Islam (IIT Kharagpur), Sourangshu Bhattacharya (IIT Kharagpur), WWW 2022
"Efficient Neural Ranking using Forward Indexes", Jurek Leonhardt (L3S Research Center, Germany), Koustav Rudra (Computer Science And Engineering, Indian Institute Of Technology (Indian School Of Mines) Dhanbad, India), Megha Khosla (L3S Research Center, Germany), Abhijit Anand (L3S Research Center, Germany), Avishek Anand (L3S Research Center, Germany), WWW 2022
"Fair k-Center Clustering in MapReduce and Streaming", Suman Bera (Katana Graph), Syamantak Das (IIIT Delhi), Sainyam Galhotra (University Of Chicago), Sagar Kale (University Of Vienna), WWW 2022
"MemStream: Memory-Based Streaming Anomaly Detection", Siddharth Bhatia (National University Of Singapore, Singapore), Arjit Jain (IIT Bombay, India), Shivin Srivastava (National University Of Singapore, Singapore), Kenji Kawaguchi (Harvard University, USA), Bryan Hooi (National University Of Singapore, Singapore), WWW 2022
"OffDQ: An Offline Deep Learning Framework for QoS Prediction", Soumi Chattopadhyay (Indian Institute Of Information Technology Guwahati, India), Richik Chanda (Indian Institute Of Information Technology Guwahati, India), Suraj Kumar (Indian Institute Of Information Technology Guwahati, India), Chandranath Adak (Indian Institute Of Information Technology, Lucknow, India), WWW 2022
"Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction", Gourab K Patro (IIT Kharagpur), Prithwish Jana (IIT Kharagpur), Abhijnan Chakraborty (IIT Delhi), Krishna P. Gummadi (Max Planck Institute For Software Systems (MPI-SWS)), Niloy Ganguly (IIT Kharagpur), WWW 2022
"The Case of SPARQL UNION, FILTER and DISTINCT", Medha Atre (Independent Consultant, India), WWW 2022
"Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs", Thi Huyen Nguyen (L3S Research Center, Germany), Koustav Rudra (Indian Institute Of Technology (Indian School Of Mines) Dhanbad, India), WWW 2022
"A Context Aware Approach for Generating Natural Language Attacks", Rishabh Maheshwary (IIIT Hyderabad), Saket Maheshwary (IIIT Hyderabad), Vikram Pudi (IIIT Hyderabad), AAAI 2021
"A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization", Adepu Ravi Sankar (IIT-Hyderabad), Yash Khasbage (IIT-Hyderabad), Rahul Vigneswaran (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), AAAI 2021
"Adversarial Permutation Guided Node Representations for Link Prediction", Indradyumna Roy (IIT Bombay), Abir De (IIT Bombay), Soumen Chakrabarti (IIT Bombay), AAAI 2021
"An Enhanced Advising Model In Teacher-Student framework Using State Categorization", Daksh Anand (IIIT Hyderabad), Vaibhav Gupta (IIIT Hyderabad), Praveen Paruchuri (IIIT Hyderabad), Balaraman Ravindran (IIT Madras), AAAI 2021
"Bootstrapping Dialog Models from Human to Human Conversation Logs", Pankaj Dhoolia (IBM Research AI, New Delhi), Vineet Kumar (IBM Research AI, New Delhi), Danish Contractor (IBM Research AI, New Delhi), Sachindra Joshi (IBM Research AI, New Delhi), AAAI 2021
"Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features", Chaitanya Amballa (TCS Research), Manu Kumar Gupta (IIT Roorkee), Sanjay P. Bhat (TCS Research), AAAI 2021
"Differentially Private Link Prediction with Protected Connections", Abir De (IIT Bombay) and Soumen Chakrabarti (IIT Bombay), AAAI 2021
"DSLR : Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder", P. Kumar(IISc), S. Sahoo(IISc), V. Shah(IISc), V. Kondameedi(IISc), A. Jain(IISc), A. Verma(IISc), C. Bhattacharyya(IISc), and V. Vinay(AMIDC, CMI), AAAI 2021
"Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input", Hussain A. Chowdhury (Tezpur University), AAAI 2021
"Efficient Poverty Mapping from High Resolution Remote Sensing Images", Kumar Ayush (Department Of Computer Science, Stanford University), Burak Uzkent (Department Of Computer Science, Stanford University), Kumar Tanmay (Department Of Electrical Engineering, IIT Kharagpur), Marshall Burke (Department Of Earth Science, Stanford University), David Lobell (Department Of Earth Science, Stanford University), Stefano Ermon (Department Of Computer Science, Stanford University), AAAI 2021
"Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning", Yifang Yin (National University Of Singapore), Harsh Shrivastava (National University Of Singapore), Ying Zhang (National University Of Singapore Northwestern Polytechnical University, China), Zhenguang Liu (Zhejiang Gongshang University), Rajiv Ratn Shah (IIIT Delhi), Roger Zimmermann (National University Of Singapore), AAAI 2021
"Enhanced Regularizers for Attributional Robustness", Anindya Sarkar* (IIT-Hyderabad), Anirban Sarkar* (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), AAAI 2021
"Estimation of Spectral Risk Measures", Ajay Kumar Pandey (IIT Madras), Prashanth L. A. (IIT Madras), and Sanjay P. Bhat (TCS Research), AAAI 2021
"Few-shot Lifelong Learning", Pratik Mazumder (IIT Kanpur), Pravendra Singh (Independent), and Piyush Rai (IIT Kanpur), AAAI 2021
"Game of gradients: Mitigating irrelevant clients in federated learning", Lokesh Nagalapatti (IBM Research), Ramasuri Narayanam (IBM Research), AAAI 2021
"Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text", Nishtha Madaan (IBM Research India), Inkit Padhi (IBM Research Yorktown), Naveen Panwar (IBM Research India), Diptikalyan Saha (IBM Research India), AAAI 2021
"Generating natural language attacks in a hard label black box setting", Rishabh Maheshwary (IIIT Hyderabad), Saket Maheshwary (IIIT Hyderabad), Vikram Pudi (IIIT Hyderabad), AAAI 2021
"GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning", KrishnaTeja Killamsetty (UT Dallas), Durga Sivasubramanian (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), and Rishabh K. Iyer (UT Dallas), AAAI 2021
"Graph Neural Network to Dilute Outliers for Refactoring Monolith Application", Utkarsh Desai (IBM Research Labs), Sambaran Bandyopadhyay (IBM Research Labs), Srikanth G Tamilselvm (IBM Research Labs), AAAI 2021
"HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection", Binny Mathew (Indian Institute Of Technology, Kharagpur, India), Punyajoy Saha (Indian Institute Of Technology, Kharagpur, India), Seid Muhie Yimam (Universität Hamburg, Germany), Chris Biemann (Universität Hamburg, Germany), Pawan Goyal (Indian Institute Of Technology, Kharagpur, India), Animesh Mukherjee (Indian Institute Of Technology, Kharagpur, India), AAAI 2021
"High-Dimensional Bayesian Optimization via Tree-Structured Additive Models", Eric Han (School Of Computing, National University Of Singapore), Ishank Arora (Indian Institute Of Technology (BHU) Varanasi), Jonathan Scarlett (School Of Computing, National University Of Singapore Department Of Mathematics & Institute Of Data Science, National University Of Singapore), AAAI 2021
"Model-agnostic fits for understanding information seeking patterns in humans", Soumya Chatterjee (Google Research India), Pradeep Shenoy (Google Research India), AAAI 2021
"More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation", Mauajama Firdaus (IIT Patna), Hardik Chauhan (IIT Patna), Asif Ekbal (IIT Patna), Pushpak Bhattacharyya (IIT Patna), AAAI 2021
"Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs", Tony Gracious (Indian Institute Of Science Bangalore), Shubham Gupta (Indian Institute Of Science Bangalore), Arun Kanthali (Indian Institute Of Science Bangalore), Rui M. Castro (Eindhoven University Of Technology), Ambedkar Dukkipati (Indian Institute Of Science Bangalore), AAAI 2021
"On Learning Deep Models with Imbalanced Data Distribution", Puspita Majumdar, Richa Singh, Mayank Vatsa (IIT Jodhpur), AAAI 2021
"Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone", Sandeep Kumar (Shaheed Bhagat Singh College, University Of Delhi, Delhi, India Indraprastha Institute Of Information Technology, New Delhi, India), Koushik Biswas (Indraprastha Institute Of Information Technology, New Delhi, India), Ashish Kumar Pandey (Indraprastha Institute Of Information Technology, New Delhi, India), AAAI 2021
"Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach", Ramit Sawhney (IIIT Delhi), Shivam Agarwal (Manipal Institute Of Technology), Arnav Wadhwa (MIDAS@IIITD), Tyler Derr (Vanderbilt University), Rajiv Ratn Shah (IIIT Delhi), AAAI 2021
"Symmetric Component Caching for Model Counting on Combinatorial Instances", Timothy Van Bremen (KU Leuven), Vincent Derkinderen (KU Leuven), Shubham Sharma (Nutanix Software India Pvt. Ltd.), Subhajit Roy (Indian Institute Of Technology Kanpur), Kuldeep S. Meel (National University Of Singapore), AAAI 2021
"The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT.", Madhura Pande (IIT Madras), Aakriti Budhraja (IIT Madras), Preksha Nema (IIT Madras), Pratyush Kumar (IIT Madras), and Mitesh M. Khapra (IIT Madras), AAAI 2021
"Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery", Sai Krishna Gottipati (99andBeyond), Yashaswi Pathak (International Institute Of Information Technology, Hyderabad), Boris Sattarov (99andBeyond), Sahir (Department Of Computing Science, University Of Alberta), Rohan Nuttall (Department Of Computing Science, University Of Alberta), Mohammad Amini (99andBeyond), Matthew E. Taylor (Department Of Computing Science, University Of Alberta Alberta Machine Intelligence Institute (Amii) Canada CIFAR AI Chair), Sarath Chandar (Mila - Quebec AI Institute Canada CIFAR AI Chair Ecole Polytechnique Montreal), AAAI 2021
"VRU Pose-SSD: Multiperson Pose Estimation For Automated Driving", Chandan Kumar (Mercedes-Benz Research And Development India), Jayanth Ramesh (Mercedes-Benz Research And Development India), Bodhisattwa Chakraborty (Mercedes-Benz Research And Development India), Renjith Raman (Mercedes-Benz Research And Development India), Christoph Weinrich (Robert Bosch GmbH, Germany), Anurag Mundhada (Axogyan AI, Bangalore), Arjun Jain (Indian Institute Of Science,Bangalore, India Axogyan AI, India), Fabian B. Flohr (Mercedes-Benz AG, Stuttgart, Germany.), AAAI 2021
"A Multi-Arm Bandit Approach To Subset Selection Under Constraints", Ayush Deva (International Institute Of Information Technology Hyderabad, Hyderabad, India), Kumar Abhishek (International Institute Of Information Technology Hyderabad, Hyderabad, India), Sujit Gujar (International Institute Of Information Technology Hyderabad, Hyderabad, India), AAMAS 2021
"Cohorting to isolate asymptomatic spreaders: An agent-based simulation study on the Mumbai Suburban Railway", Alok Talekar (Google Research India), Sharad Shriram (IISc, Bangalore), Nidhin Vaidhiyan (IISc, Bangalore), Gaurav Aggarwal (Google Research India), Jiangzhuo Chen (University Of Virginia), Srini Venkatramanan (University Of Virginia), Lijing Wang (University Of Virgina), Aniruddha Adiga (University Of Virginia), Adam Sadilek (Google), Ashish Tendulkar (Google Research India), Madhav Marathe (University Of Virginia), Rajesh Sundaresan (IISc, Bangalore), Milind Tambe (Google Research India), AAMAS 2021
"Committee Selection using Attribute Approvals", Venkateswara Rao Kagita (National Institute Of Technology, Warangal, India), Arun K Pujari (Mahindra University, Hyderabad, India), Vineet Padmanabhan (University Of Hyderabad, Hyderabad, India), Haris Aziz (University Of New South Wales, Sydney, NSW, Australia), Vikas Kumar (University Of Delhi & Central University Of Rajasthan, Delhi, India), AAMAS 2021
"Existence and Computation of Maximin Fair Allocations Under Matroid-Rank Valuations", Siddharth Barman (Indian Institute Of Science, Bangalore, India), Paritosh Verma (Indian Institute Of Science, Bangalore, India), AAMAS 2021
"Group Fairness for Knapsack Problems", Deval Patel (Indian Institute Of Science, Banglore, India), Arindam Khan (Indian Institute Of Science, Banglore, India), Anand Louis (Indian Institute Of Science, Banglore, India), AAMAS 2021
"Learning Index Policies for Restless Bandits with Application to Maternal Healthcare", Arpita Biswas (Google Research, Bangalore, India), Gaurav Aggarwal (Google Research, Bangalore, India), Pradeep Reddy Varakantham (Google Research, Bangalore, India), Milind Shashikant Tambe (Google Research, Bangalore, India), AAMAS 2021
"Network Robustness via Global k-cores", Palash Dey (Indian Institute Of Technology, Kharagpur, Kharagpur, India), Suman Kalyan Maity (Northwestern University, Boston, MA, USA), Sourav Medya (Northwestern University, Boston, MA, USA), Arlei Silva (University Of California, Santa Barbara, Santa Barbara, CA, USA), AAMAS 2021
"Partition Aggregation for Participatory Budgeting", Pallavi Jain (Indian Institute Of Technology Jodhpur, Jodhpur, India), Nimrod Talmon (Ben-Gurion University Of The Negev, Be`er Sheva, Israel), Laurent Bulteau (LIGM, CNRS, Univ Gustave Eiffel, Marne-la-Vallee, France), AAMAS 2021
"Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty.", Venugopal, A. (IIT Madras), Bondi, E. (Harvard University), Kamarthi, H. (Georgia Tech.), Dholakia, K. (IIT Madras), Ravindran, B. (IIT Madras), and Tambe, M. (Harvard University), AAMAS 2021
"Sample Efficient Ensemble Reinforcement Learning.", Saphal, R. (IIT Madras), Ravindran, B. (IIT Madras), Mudigere, D. (Facebook), Avancha, S. (Intel India), and Kaul, B. (Intel India), AAMAS 2021
"Sequential Ski Rental Problem", Anant Shah (IIT Madras) and Arun Rajkumar (IIT Madras), AAMAS 2021
"Symbolic Reinforcement Learning for Safe RAN Control", Alexandros Nikou (Ericsson Research, Stockholm, Sweden), Anusha Mujumdar (Ericsson Research, Bangalore, India), Marin Orlić (Ericsson Research, Stockholm, Sweden), Aneta Vulgarakis Feljan (Ericsson Research, Stockholm, Sweden), AAMAS 2021
"To hold or not to hold? - Reducing Passenger Missed Connections in Airlines using Reinforcement Learning", Tejasvi Malladi (TCS Research, Chennai, India), Karpagam Murugappan (TCS Research, Chennai, India), Depak Sudarsanam (TCS Research, Chennai, India), Ramasubramanian Suriyanarayanan (TCS Research, Chennai, India), Arunchandar Vasan (TCS Research, Chennai, India), AAMAS 2021
"We might walk together, but I run faster: Network Fairness and Scalability in Blockchains", Anurag Jain (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Shoeb Siddiqui (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Sujit Gujar (International Institute Of Information Technology, Hyderabad, Hyderabad, India), AAMAS 2021
"Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights", Devaraja Adiga (IIT Bombay), Rishabh Kumar (IIT Bombay), Amrith Krishna (University Of Cambridge, UK), Preethi Jyothi (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), Pawan Goyal (IIT Kharagpur), ACL 2021
"Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs.", Dinesh Raghu (IIT Delhi), Atishya Jain (IIT Delhi), Mausam (IIT Delhi), and Sachindra Joshi (IBM Research India), ACL 2021
"Explanations for CommonSenseQA: New Dataset and Models", Shourya Aggarwal (IIT Delhi), Divyanshu Mandowara (IIT Delhi), Vishwajeet Agrawal (IIT Delhi), Dinesh Khandelwal (IBM Research AI, India), Parag Singla (IIT Delhi) and Dinesh Garg (IBM Research AI, India), ACL 2021
"Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study", Yash Khemchandani (IIT Bombay), Sarvesh Mehtani (IIT Bombay), Vaidehi Patil (IIT Bombay), Abhijeet Awasthi (IIT Bombay), Partha Talukdar (Google Research India) and Sunita Sarawagi (IIT Bombay), ACL 2021
"FrameNet-Assisted Noun Compound Interpretation", Girishkumar Ponkiya (IIT Bombay), Diptesh Kanojia (Univerity of Surrey), Pushpak Bhattacharyya (IIT Bombay) and Girish Palshikar (TCS Research India), ACL 2021
"ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation", Vijit Malik (IIT Kanpur), Rishabh Sanjay (IIT Kanpur), Shubham Kumar Nigam (IIT Kanpur), Kripa Ghosh (IISER Kolkata), Shouvik Kumar Guha (WBNUJS), Arnab Bhattacharya (IIT Kanpur), Ashutosh Modi (IIT Kanpur), ACL 2021
"Learning Contextualized Knowledge Structures for Commonsense Reasoning", Jun Yan (University Of Southern California), Mrigank Raman (IIT Delhi), Aaron Chan (University Of Southern California), Tianyu Zhang (Tsinghua University), Ryan Rossi (Adobe Research), Handong Zhao (Adobe Research), Sungchul Kim (Adobe Research), Nedim Lipka (Adobe Research), Xiang Ren (University Of Southern California), ACL 2021
"MergeDistill: Merging Language Models using Pre-trained Distillation", Simran Khanuja (Google Research India), Melvin Johnson (Google Research USA) and Partha Talukdar (Google Research India), ACL 2021
"More Parameters? No Thanks!", Zeeshan Khan (IIIT Hyderabad), Kartheek Akella (IIIT Hyderabad), Vinay P. Namboodiri (University Of Bath), C.V. Jawahar (IIIT Hyderabad), ACL 2021
"Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction", Sriram Pingali (Indian Institute Of Technology Patna), Shweta Yadav (Indian Institute Of Technology Patna), Pratik Dutta (Indian Institute Of Technology Patna), Sriparna Saha (Indian Institute Of Technology Patna), ACL 2021
"OKGIT: Open Knowledge Graph Link Prediction with Implicit Types", Chandrahas (IISc) and Partha Talukdar (IISc), ACL 2021
"Question Answering over Temporal Knowledge Graphs", Apoorv Saxena (IISc), Soumen Chakrabarti (IIT Bombay) and Partha Talukdar (Google Research India), ACL 2021
"Reordering Examples Helps during Priming-based Few-shot Learning", Sawan Kumar (IISc) and Partha Talukdar (IISc), ACL 2021
"Semi-Supervised Data Programming with Subset Selection", Ayush Maheshwari (IIT Bombay), Oishik Chatterjee (IIT Bombay), Krishnateja Killamsetty (University Of Texas At Dallas), Ganesh Ramakrishnan (IIT Bombay), Rishabh Iyer (University Of Texas At Dallas), ACL 2021
"TweeNLP: A Twitter Exploration Portal for Natural Language Processing", Viraj Shah (Indian Institute Of Technology Gandhinagar), Shruti Singh (Indian Institute Of Technology Gandhinagar), Mayank Singh (Indian Institute Of Technology Gandhinagar), ACL 2021
"ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation", Kaushal Kumar Maurya (IIT Hyderabad), Maunendra Sankar Desarkar (IIT Hyderabad), Yoshinobu Kano (Shizuoka University, Japan), Kumari Deepshikha (NVIDIA, India), ACL 2021
"Fingerspelling Recognition in the Wild with Fixed-Query based Visual Attention", Srinivas Kruthiventi S S (Harman International India Pvt. Ltd., Bangalore, India), George Jose (Harman International India Pvt. Ltd., Bangalore, India), Nitya Tandon (Harman International India Pvt. Ltd., Bangalore, India), Rajesh Biswal (Harman International India Pvt. Ltd., Bangalore, India), Aashish Kumar (Harman International India Pvt. Ltd., Bangalore, India), ACM Multimedia 2021
"Learning Multi-context Aware Location Representations from Large-scale Geotagged Images", Yifang Yin (National University Of Singapore, Singapore, Singapore), Ying Zhang (Northwestern Polytechnical University, Xi`an, China), Zhenguang Liu (Zhejiang Gongshang University, Hangzhou, China), Yuxuan Liang (National University Of Singapore, Singapore, Singapore), Sheng Wang (Alibaba Group, Singapore, Singapore), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology Delhi, Delhi, India), R. Zimmermann (National University Of Singapore, Singapore, Singapore), ACM Multimedia 2021
"MeronymNet: A Hierarchical Model for Unified and Controllable Multi-Category Object Generation", Rishabh Baghel (IIIT Hyderabad), Abhishek Trivedi (IIIT Hyderabad), Tejas Ravichandran (IIIT Hyderabad), Ravi Kiran Sarvadevabhatla (IIIT Hyderabad), ACM Multimedia 2021
"VmAP: A Fair Metric for Video Object Detection", Anupam Sobti (Indian Institute Of Technology Delhi, New Delhi, India), Vaibhav Mavi (Indian Institute Of Technology Delhi, New Delhi, India), Meenakshi Balakrishnan (Indian Institute Of Technology Delhi, New Delhi, India), Chetan Arora (Indian Institute Of Technology Delhi, New Delhi, India), ACM Multimedia 2021
"Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting", Sravya Vardhani Shivapuja (IIIT Hyderabad), Mansi Pradeep Khamkar (IIIT Hyderabad), Divij Bajaj (IIIT Hyderabad), Ganesh Ramakrishnan (IIT Bombay), Ravi Kiran Sarvadevabhatla (IIIT Hyderabad), ACM Multimedia 2021
"Efficient Feature Transformations for Discriminative and Generative Continual Learning", Vinay Verma (Duke U.), Kevin Liang (Duke U. and Facebook AI), Nikhil Mehta (Duke U.), Lawrence Carin (Duke U.), and Piyush Rai (IIT Kanpur), CVPR 2021
"Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network", Aupendu Kar (Indian Institute Of Technology, Kharagpur, WB, India,), Prabir Kumar Biswas (Indian Institute Of Technology, Kharagpur, WB, India,), CVPR 2021
"Generalization on Unseen Domains via Inference-time Label-Preserving Target Projections", Prashant Pandey (IIT Delhi), Mrigank Raman (IIT Delhi), Sumanth Varambally (IIT Delhi), and Prathosh A. P. (IIT Delhi), CVPR 2021
"Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control", Jingfan Guo (University Of Minnesota,), Jie Li (University Of Minnesota,), Rahul Narain (Indian Institute Of Technology Delhi,), Hyun Soo Park (University Of Minnesota,), CVPR 2021
"Labeled from Unlabeled: Exploiting Unlabeled Data for Few-shot Deep HDR Deghosting", K Ram Prabhakar (Indian Institute Of Science, Bangalore,), Gowtham Senthil (Indian Institute Of Science, Bangalore, Indian Institute Of Technology Tirupati,), Susmit Agrawal (Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore,), Rama Krishna Sai S Gorthi (Indian Institute Of Technology Tirupati,), CVPR 2021
"LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization", Avisek Lahiri (Google Research, Indian Institute Of Technology Kharagpur,), Vivek Kwatra (Google Research,), Christian Frueh (Google Research,), John Lewis (Google Research,), Chris Bregler (Google Research,), CVPR 2021
"Rectification-based Knowledge Retention for Continual Learning", Pravendra Singh (Independent), Pratik Mazumder (IIT Kanpur), Vinay Namboodiri (University of Bath, UK), and Piyush Rai (IIT Kanpur), CVPR 2021
"Semi-Supervised Action Recognition with Temporal Contrastive Learning", Ankit Singh (IIT Madras), Omprakash Chakraborty (IIT Kharagpur), Ashutosh Varshney (IIT Kharagpur), Rameswar Panda (MIT-IBM Watson AI Lab), Rogerio Feris (MIT-IBM Watson AI Lab), Kate Saenko (Boston University And MIT-IBM Watson AI Lab), Abir Das (IIT Kharagpur), CVPR 2021
"Towards Open World Object Detection", K J Joseph (Indian Institute Of Technology Hyderabad, India, Mohamed Bin Zayed University Of AI, UAE,), Salman Khan (Mohamed Bin Zayed University Of AI, UAE, Australian National University, Australia,), Fahad Shahbaz Khan (Mohamed Bin Zayed University Of AI, UAE, Linköping University, Sweden,), Vineeth N Balasubramanian (Indian Institute Of Technology Hyderabad, India,), CVPR 2021
"Towards Open-World Object Detection", Joseph K J (IIT-Hyderabad/MBZUAI), Salman Khan (MBZUAI (UAE)), Fahad Khan (MBZUAI (UAE)), Vineeth N Balasubramanian (IIT-Hyderabad), CVPR 2021
"Zero-shot Single Image Restoration through Controlled Perturbation of Koschmieder’s Model", Aupendu Kar (Indian Institute Of Technology Kharagpur, WB, India,), Sobhan Kanti Dhara (Indian Institute Of Technology Kharagpur, WB, India,), Debashis Sen (Indian Institute Of Technology Kharagpur, WB, India,), Prabir Kumar Biswas (Indian Institute Of Technology Kharagpur, WB, India,), CVPR 2021
"RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction", Harsha Kokel (Univ. Of Texas Dallas), Arjun Manoharan (IIT Madras), Sriraam Natarajan (Univ. Of Texas Dallas), Balaraman Ravindran (IIT Madras), Prasad Tadepalli (Oregon State Univ.), ICAPS 2021
"Deep Implicit Surface Point Prediction Networks", Rahul Venkatesh (Carnegie Mellon University, Pittsburgh, PA, USA,), Tejan Karmali (Indian Institute Of Science, Bengaluru, India,), Sarthak Sharma (Verisk Analytics, Jersey City, NJ, USA,), Aurobrata Ghosh (Verisk Analytics, Jersey City, NJ, USA,), R. Venkatesh Babu (Indian Institute Of Science, Bengaluru, India,), Lászlό A. Jeni (Carnegie Mellon University, Pittsburgh, PA, USA,), Maneesh Singh (Verisk Analytics, Jersey City, NJ, USA,), ICCV 2021
"Exploring Long Tail Visual Relationship Recognition with Large Vocabulary", Sherif Abdelkarim (King Abdullah University Of Science And Technology (KAUST),), Aniket Agarwal (King Abdullah University Of Science And Technology (KAUST), IIT Roorkee,), Panos Achlioptas (Stanford University,), Jun Chen (King Abdullah University Of Science And Technology (KAUST),), Jiaji Huang (Baidu,), Boyang Li (NTU Singapore,), Kenneth Church (Baidu,), Mohamed Elhoseiny (King Abdullah University Of Science And Technology (KAUST),), ICCV 2021
"Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation", Jogendra Nath Kundu (Indian Institute Of Science, Bangalore,), Akshay Kulkarni (Indian Institute Of Science, Bangalore,), Amit Singh (Indian Institute Of Science, Bangalore,), Varun Jampani (Google Research,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore,), ICCV 2021
"Gravity-Aware Monocular 3D Human-Object Reconstruction", Rishabh Dabral (IIT, Bombay, MPI For Informatics, SIC,), Soshi Shimada (MPI For Informatics, SIC,), Arjun Jain (IISc, Bangalore, Fast Code AI,), Christian Theobalt (MPI For Informatics, SIC,), Vladislav Golyanik (MPI For Informatics, SIC,), ICCV 2021
"Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents", Shivansh Patel (Simon Fraser University,), Saim Wani (IIT Kanpur,), Unnat Jain (UIUC,), Alexander Schwing (UIUC,), Svetlana Lazebnik (UIUC,), Manolis Savva (Simon Fraser University,), Angel X. Chang (Simon Fraser University,), ICCV 2021
"LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning", Bhavya Vasudeva (Indian Statistical Institute, Kolkata, India,), Puneesh Deora (Indian Statistical Institute, Kolkata, India,), Saumik Bhattacharya (Indian Institute Of Technology, Kharagpur, India,), Umapada Pal (Indian Statistical Institute, Kolkata, India,), Sukalpa Chanda (Østfold University College, Halden, Norway,), ICCV 2021
"MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?", Matteo Fabbri (University Of Modena And Reggio Emilia, Italy, GoatAI S.r.l.,), Guillem Brasó (Technical University Of Munich, Germany,), Gianluca Maugeri (University Of Modena And Reggio Emilia, Italy,), Orcun Cetintas (Technical University Of Munich, Germany,), Riccardo Gasparini (University Of Modena And Reggio Emilia, Italy, GoatAI S.r.l.,), Aljoša Ošep (Technical University Of Munich, Germany,), Simone Calderara (University Of Modena And Reggio Emilia, Italy,), Laura Leal-Taixé (Technical University Of Munich, Germany,), Rita Cucchiara (University Of Modena And Reggio Emilia, Italy,), ICCV 2021
"S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation", Harsh Rangwani (Video Analytics Lab, Indian Institute Of Science, Bengaluru, India,), Arihant Jain (Video Analytics Lab, Indian Institute Of Science, Bengaluru, India,), Sumukh K Aithal (Video Analytics Lab, Indian Institute Of Science, Bengaluru, India,), R. Venkatesh Babu (Video Analytics Lab, Indian Institute Of Science, Bengaluru, India,), ICCV 2021
"SemIE: Semantically-aware Image Extrapolation", Bholeshwar Khurana (IIT Kanpur, Adobe Research India,), Soumya Ranjan Dash (IIT Kanpur, Adobe Research India,), Abhishek Bhatia (IIT Kanpur, Adobe Research India,), Aniruddha Mahapatra (Adobe Research India,), Hrituraj Singh (Adobe Research India, Triomics,), Kuldeep Kulkarni (Adobe Research India,), ICCV 2021
"Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains", Soumava Paul (Indian Institute Of Technology, Kharagpur,), Titir Dutta (Indian Institute Of Science, Bangalore,), Soma Biswas (Indian Institute Of Science, Bangalore,), ICCV 2021
"V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal", B H Pawan Prasad (Samsung R&D Institute, Bangalore, India,), K S Green Rosh (Samsung R&D Institute, Bangalore, India,), R B Lokesh (Samsung R&D Institute, Bangalore, India,), Kaushik Mitra (IIT Madras, Chennai, India,), Sanjoy Chowdhury (Samsung R&D Institute, Bangalore, India,), ICCV 2021
"ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors", Ayush Chopra (Media Lab, Massachusetts Institute Of Technology,), Rishabh Jain (BITS Pilani,), Mayur Hemani (Media And Data Science Research Lab, Adobe,), Balaji Krishnamurthy (Media And Data Science Research Lab, Adobe,), ICCV 2021
"FoodMatch: Batching and Matching for Food Delivery in Dynamic Road Networks", Manas Joshi (IIT Delhi), Arshdeep Singh (IIT Delhi), Sayan Ranu (IIT Delhi), Amitabha Bagchi (IIT Delhi), Priyank Karia (Swiggy), Puneet Kala (Swiggy), ICDE 2021
"Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter", Sarah Masud (IIIT-Delhi, New Delhi, India,), Subhabrata Dutta (Jadavpur University, Kolkata, India,), Sakshi Makkar (IIIT-Delhi, New Delhi, India,), Chhavi Jain (IIIT-Delhi, New Delhi, India,), Vikram Goyal (IIIT-Delhi, New Delhi, India,), Amitava Das (Wipro AI, Bangalore, India,), Tanmoy Chakraborty (IIIT-Delhi, New Delhi, India,), ICDE 2021
"Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains", Dhruv Sahnan (Dept. Of CSE, IIIT-Delhi, India,), Snehil Dahiya (Dept. Of CSE, IIIT-Delhi, India,), Vasu Goel (Dept. Of CSE, IIIT-Delhi, India,), Anil Bandhakavi (Logically, UK,), Tanmoy Chakraborty (Dept. Of CSE, IIIT-Delhi, India,), ICDM 2021
"Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions", Vibhor Gupta (TCS Research, New Delhi, India,), Jyoti Narwariya (TCS Research, New Delhi, India,), Pankaj Malhotra (TCS Research, New Delhi, India,), Lovekesh Vig (TCS Research, New Delhi, India,), Gautam Shroff (TCS Research, New Delhi, India,), ICDM 2021
"HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation", M Vijaikumar (Indian Institute Of Science, Bangalore, India,), Deepesh Hada (Indian Institute Of Science, Bangalore, India,), Shirish Shevade (Indian Institute Of Science, Bangalore, India,), ICDM 2021
"PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget", Dev Yashpal Sheth (Robert Bosch Centre For Data Science And AI, Indian Institute Of Technology Madras, Chennai, India,), Arun Rajkumar (Robert Bosch Centre For Data Science And AI, Indian Institute Of Technology Madras, Chennai, India,), ICDM 2021
"Learning a Latent Simplex in Input Sparsity Time", Ainesh Bakshi, (CMU), Chiranjib Bhattacharyya (IISc), Ravi Kannan (MSR India), David P. Woodruff (CMU), Samson Zhou (CMU), ICLR 2021
"Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation", Mrigank Raman (IIT Delhi), Aaron Chan (University Of Southern California), Siddhant Agarwal (University Of Southern California), Hansen Wang (University Of Southern California), Sungchul Kim (Adobe Research), Ryan Rossi (Adobe Research), Handong Zhao (Adobe Research), Nedim Lipka (Adobe Research), ICLR 2021
"Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces.", Yatin Nandwani (IIT Delhi), Deepanshu Jindal (IIT Delhi), Mausam (IIT Delhi) and Parag Singla (IIT Delhi), ICLR 2021
"No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks", Shyamgopal Karthik (IIIT Hyderabad), Ameya Prabhu (University Of Oxford), Puneet Dokania (University Of Oxford), Vineet Gandhi (IIIT Hyderabad), ICLR 2021
"Adversarial Dueling Bandits", Aadirupa Saha (Indian Institute of Science (IISc), Bangalore), Tomer Koren (Tel Aviv University and Google), and Yishay Mansour (Google and Tel Aviv University), ICML 2021
"Bayesian Structural Adaptation for Continual Learning", Abhishek Kumar (IIT Kanpur), Sunabha Chatterjee (IIT Kanpur), and Piyush Rai (IIT Kanpur), ICML 2021
"Confidence-Budget Matching for Sequential Budgeted Learning", Yonathan Efroni (Technion), Nadav Merlis (Technion), Aadirupa Saha (IISc), and Shie Mannor (Technion), ICML 2021
"Domain Generalization using Causal Matching", Divyat Mahajan (Microsoft Research India), Shruti Tople (Microsoft Research UK), and Amit Sharma (Microsoft Research India), ICML 2021
"Dueling Convex Optimization", Aadirupa Saha (IISc), Tomer Koren (Tel Aviv University and Google), and Yishay Mansour (Google and Tel Aviv University), ICML 2021
"Finding k in Latent k- polytope", Chiranjib Bhattacharyya (Indian Institute of Science), Ravindran Kannan (Microsoft Research India), and Amit Kumar (IIT Delhi), ICML 2021
"Fixed-Parameter and Approximation Algorithms for PCA with Outliers", Yogesh Dahiya (The Institute of Mathematical Sciences (HBNI), Chennai, India), Fedor Fomin (University of Bergen), Kirill Simonov (University of Bergen), and Fahad Panolan (IIT Hyderabad), ICML 2021
"Grad-Match: A Gradient Matching based Data Subset Selection for Efficient Learning", Krishnateja Killamsetty ( UT Dallas), Durga S (IIT Bombay), Baharan Mirzasoleiman (Stanford University), Ganesh Ramakrishnan (IIT Bombay), Abir De (IIT Bombay), and Rishabh Iyer (UT Dallas), ICML 2021
"On Characterizing GAN Convergence Through Proximal Duality Gap", Sahil Sidheekh (IIT Ropar), Aroof Aimen (IIT Ropar), and Narayanan Chatapuram Krishnan (IIT Ropar), ICML 2021
"On the Problem of Underranking in Group-Fair Ranking", Sruthi Gorantla (IISc), Amit Jayant Deshpande (Microsoft Research India), and Anand Louis (IISc), ICML 2021
"Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics", Avik Pal (IIT Kanpur), Yingbo Ma (Julia Computing), Viral Shah (Julia Computing), and Christopher Rackauckas (MIT), ICML 2021
"Optimal regret algorithm for Pseudo-1d Bandit Convex Optimizationrch), Prateek Jain (Google Research)", Aadirupa Saha (Microsoft Research, New York City), Nagarajan Natarajan (Microsoft Research, India), Praneeth Netrapalli (Microsoft Research, India), and Prateek Jain (Microsoft Research, India), ICML 2021
"RRL: Resnet as representation for Reinforcement Learning", Rutav Shah (IIT Kharagpur) and Vikash Kumar (Univ. Of Washington), ICML 2021
"SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels", Kunal Dahiya (IIT Delhi), Ananye Agarwal (IIT Delhi), Deepak Saini (Microsoft Research India), Gururaj K (Microsoft), Jian Jiao (Microsoft), Amit Singh (Microsoft), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), and Manik Varma (Microsoft Research India), ICML 2021
"Training Data Subset Selection for Regression with Controlled Generalization Error", Durga S (IIT Bombay), Rishabh Iyer (University Of Texas At Dallas), Ganesh Ramakrishnan (IIT Bombay), Abir De (IIT Bombay), ICML 2021
"TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators.", Shreshth Tuli (IIT Delhi, Imperial College London), Rajas Bansal (IIT Delhi), Rohan Paul (IIT Delhi), and Mausam (IIT Delhi), IJCAI 2021
"Emotional Prosody Control for Speech Generation", Sarath Sivaprasad (IIIT Hyderabad), Saiteja Kosgi (IIIT Hyderabad), Vineet Gandhi (IIIT Hyderabad), Interspeech 2021
"Zero-Shot Federated Learning with New Classes for Audio Classification", Gautham Krishna Gudur (Ericsson R&D), Satheesh Kumar Perepu (Ericsson Research), Interspeech 2021
"Novelty Detection: An NLP Perspective", Tirthankar Ghosal (Institute Of Formal And Applied Linguistics Faculty Of Mathematics And Physics Charles University Prague, Czech Republic), Tanik Saikh (Department Of Computer Science And Engineering Indian Institute Of Technology Patna Patna, India), Tameesh Biswas (Department Of Computer Science And Engineering Indian Institute Of Technology Patna Patna, India), Asif Ekbal (Department Of Computer Science And Engineering Indian Institute Of Technology Patna Patna, India), Pushpak Bhattacharyya (Department Of Computer Science And Engineering Indian Institute Of Technology Bombay Powai, India), J. Computational Linguistics 2021
"On Nonconvex Optimization for Machine Learning: Gradients, Stochasticity, and Saddle Points", C. Jin (UC Berkeley), P. Netrapalli (Microsoft Research India), R. Ge (Duke U.), S. M. Kakade (U. Washington) and M. I. Jordan (UC Berkeley), JACM 2021
"Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations", Vihari Piratla (IIT Bombay), Soumen Chakrabarti (IIT Bombay), and Sunita Sarawagi (IIT Bombay), NeurIPS 2021
"CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks", Sakshi Varshney (IIT Hyderabad), Vinay Kumar Verma (Duke University), P. K. Srijith (IIT Hyderabad), Lawrence Carin (KAUST), Piyush Rai (IIT Kanpur), NeurIPS 2021
"Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks", Sandesh Kamath (IIT-Hyderabad), Amit Deshpande (Microsoft Research India), K V Subrahmanyam (Chennai Mathematical Institute), Vineeth N Balasubramanian (IIT-Hyderabad), NeurIPS 2021
"Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing", Aadarsh Sahoo (IIT Kharagpur), Rutav Shah (IIT Kharagpur), Rameswar Panda (MIT IBM-Watson AI Lab), Kate Saenko (Boston University And MIT IBM-Watson AI Lab), Abir Das (IIT Kharagpur), NeurIPS 2021
"Differentially Private Model Personalization", Abhradeep Guha Thakurta (Google Research), Adam Smith (Boston University), Keith Rush (Google Research), Prateek Jain (Google Research India), Shuang Song (Google Research), NeurIPS 2021
"Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach", Anindya Sarkar (IIT-Hyderabad), Anirban Sarkar (IIT-Hyderabad), Sowrya Gali (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), NeurIPS 2021
"LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes", Aditya Kusupati (University Of Washington), Ali Farhadi (University Of Washington), Jae Sung Park (University Of Washington), Krishna Pillutla (University Of Washington), Matthew Wallingford (University Of Washington), Prateek Jain (Google Research India), Raghav Somani (University Of Washington), Sham Kakade (University Of Washington), Vivek Ramanujan (University Of Washington), NeurIPS 2021
"Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems", Dheeraj Nagaraj (Google Research India), Praneeth Netrapalli (Google Research India), Prateek Jain (Google Research India), Suhas Kowshik (Dept Of EECS, MIT), NeurIPS 2021
"On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons", Vishnu Veerathu (Cohesity Inc.), and Arun Rajkumar (IIT Madras), NeurIPS 2021
"Optimal Best-Arm Identification Methods for Tail-Risk Measures", Shubhada Agrawal (TIFR, Mumbai), Wouter M. Koolen (CWI, Amsterdam), and Sandeep Juneja (TIFR, Mumbai), NeurIPS 2021
"Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems", Subhabrata Dutta (Jadavpur University), Tanya Gautam (IIIT Delhi), Soumen Chakrabarti (IIT Bombay), Tanmoy Chakraborty (IIIT Delhi), NeurIPS 2021
"Streaming Linear System Identification with Reverse Experience Replay", Dheeraj Nagaraj (Google Research India, MIT), Praneeth Netrapalli (Google Research India), Prateek Jain (Google Research India), Suhas Kowshik (MIT), NeurIPS 2021
"Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time", Anshul Nasery (IIT Bombay), Soumyadeep Thakur (IIT Bombay), Vihari Piratla (IIT Bombay), Abir De (IIT Bombay), and Sunita Sarawagi (IIT Bombay), NeurIPS 2021
"Missing Value Imputation on Multidimensional Time Series.", Parikshit Bansal (IIT Bombay), Prathamesh Deshpande (IIT Bombay) and Sunita Sarawagi (IIT Bombay), PVLDB 2021
"AI Based Information Retrieval System for Identifying Harmful Online Gaming Patterns", Deepanshi Seth (Games24x7, Mumbai, India), Rukma Talwadker (Games24x7.com, Mumbai, India), Tridib Mukherjee (Games24x7, Mumbai, India), Usama Chitapure (Games24x7, Mumbai, India), Nagesh Adiga (Games24x7), Avantika Gupta (Games24x7), SIGIR 2021
"Hyperbolic Online Time Stream Modeling", Ramit Sawhney (Indraprastha Institute Of Information Technology Delhi, Delhi, India), Shivam Agarwal (Manipal Institute Of Technology, Manipal, India), Megh Thakkar (BITS Pilani, Pilani, India), Arnav Wadhwa (Indraprastha Institute Of Information Technology Delhi, Delhi, India), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology Delhi, Delhi, India), SIGIR 2021
"Improving Neural Text Style Transfer by Introducing Loss Function Sequentiality", Chinmay Rane (Normandie University & ABV-Indian Institute Of Information Technology And Management Gwalior, Gwalior, India), Gaël Harry Dias (Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, Caen, France), Alexis Lechervy (Normandie Univ, UNICAEN, ENSICAEN, CNRS, GREYC, Caen, France), Asif Ekbal (Indian Institute Of Technology Patna, Patna, India), SIGIR 2021
"Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization", Anubhav Jangra (Indian Institute Of Technology Patna, India), Sriparna Saha (Indian Institute Of Technology Patna, India), Adam Jatowt (Kyoto University, Japan), Mohammed Hasanuzzaman (Cork Institute Of Technology, Ireland), SIGIR 2021
"NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns", Manish Chandra (Indian Institute Of Technology Kharagpur, Kharagpur, India), Debasis Ganguly (University Of Glasgow, Glasgow, Scotland Uk), Pabitra K Mitra (Indian Institute Of Technology Kharagpur, Kharagpur, India), Bithika Pal (Indian Institute Of Technology Kharagpur, Kharagpur, India), James Thomas (University College London, London, United Kingdom), SIGIR 2021
"ReXPlug: Explainable Recommendation using Plug-and-Play Language Model", Deepesh V Hada (Indian Institute Of Science, Bangalore, Bangalore, India), Vijaikumar M (Indian Institute Of Science, Bangalore, Bangalore, India), Shirish Krishnaj Shevade (Indian Institute Of Science, Bangalore, Bangalore, India), SIGIR 2021
"Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering.", Aman Jain (IIT Bombay), Mayank Kothyari (IIT Bombay), Vishwajeet Kumar (IBM Research India), Preethi Jyothi (IIT Bombay), Ganesh Ramakrishnan (IIT Bombay), and Soumen Chakrabarti (IIT Bombay), SIGIR 2021
"Understanding the Role of Affect Dimensions in Detecting Emotions from Tweets: A Multi-task Approach", Rajdeep Mukherjee (IIT Kharagpur, Kharagpur, India), Atharva Naik (IIT Kharagpur, Kharagpur, India), Sriyash Poddar (IIT Kharagpur, Kharagpur, India), Soham Dasgupta (MAIS Bangalore, Bangalore, India), Niloy Ganguly (IIT Kharagpur, Kharagpur, India), SIGIR 2021
"Diversity driven Query Rewriting in Search Advertising", Akash Kumar Mohankumar (IIT Madras), Nikit Begwani (Microsoft India), and Amit K Singh (Microsoft India), SIGKDD 2021
"Fast One-class Classification using Class Boundary-preserving Random Projections", Arindam Bhattacharya (IIT Delhi), Sumanth Varambally (IIT Delhi), Amitabha Bagchi (IIT Delhi), and Srikanta Bedathur (IIT Delhi), SIGKDD 2021
"Micro-climate Prediction - Multi scale encoder-decoder based deep learning framework", Peeyush Kumar (Microsoft Research, Redmond), Ranveer Chandra (Microsoft Research, Redmond), Chetan Bansal (Microsoft Research, Redmond), Shivkumar Kalyanaraman (Microsoft, India), and Tanuja Ganu (Microsoft Research, India), SIGKDD 2021
"Q-Learning Lagrange Policies for Multi-Action Restless Bandits", Jackson A. Killian (Harvard University), Arpita Biswas (Harvard University), Sanket Shah (Harvard University), Milind Tambe (Harvard University), SIGKDD 2021
"Semi-Supervised Deep Learning for Multiplex Networks", Mitra, A. (IIT Guwahati), Vijayan, P. (McGill), Sanasam, R. (IIT Guwahati), Goswami, D. (IIT Guwahati), Parthasarathy, S. (Ohio State Univ.), and Ravindran, B. (IIT Madras), SIGKDD 2021
"Would your tweet invoke hate on the fly? Forecasting hate intensity of reply threads on Twitter", Snehil Dahiya (IIIT Delhi), Shalini Sharma (IIIT Delhi), Dhruv Sahnan (IIIT Delhi), Vasu Goel (IIIT Delhi), Angshul Majumdar (IIIT Delhi), Victor Elvira (University of Edinburgh), Emilie Chouzenoux (CentraleSup�lec and Universit� Paris-Est Marne la Vall�e), Anil Bandhakavi (Logically), and Tanmoy Chakraborty (IIIT Delhi), SIGKDD 2021
"Zero-shot Multi-lingual Interrogative Question Generation for "People Also Ask" at Bing", Rajarshee Mitra ( Microsoft, India), Rhea Jain (Microsoft, India), Aditya Srikanth Veerubhotla (Microsoft, India), and Manish Gupta (Microsoft, India), SIGKDD 2021
"Shedding Light on Opaque Application Queries", Kapil Khurana (Indian Institute Of Science), Jayant R Haritsa (Indian Institute Of Science), SIGMOD 2021
"DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents", Kunal Dahiya (IIT Delhi), Deepak Saini (Microsoft), Anshul Mittal (IIT Delhi), Ankush Shaw (IIT Delhi), Kushal Dave (Microsoft), Akshay Soni (Microsoft), Himanshu Jain (IIT Delhi), Sumeet Agarwal (IIT Delhi), Manik Varma (Microsoft Research India), WSDM 2021
"HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification", Rahul Ragesh (Microsoft India), Sundararajan Sellamanickam (Microsoft Research Lab India), Arun Iyer (Microsoft Research Lab India), Ramakrishna Bairi (Microsoft Research Lab India), Vijay Lingam (Microsoft Research Lab India), WSDM 2021
"Long Horizon Forecasting with Temporal Point Processes", Prathamesh Deshpande (IIT Bombay), Kamlesh Marathe (IIT Bombay), Abir De (IIT Bombay), and Sunita Sarawagi (IIT Bombay), WSDM 2021
"Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions", Yanbo Xu (Georgia Institute Of Technology, Atlanta, GA, USA), Divyat Mahajan (Microsoft Research India, Bengaluru, India), Liz Manrao (Microsoft, Redmond, WA, USA), Amit Sharma (Microsoft Research India, Bengaluru, India), Emre Kıcıman (Microsoft Research AI, Redmond, WA, USA), WSDM 2021
"Towards Ordinal Suicide Ideation Detection on Social Media", Ramit Sawhney (IIIT Delhi, New Delhi, India), Harshit Joshi (University Of Delhi, New Delhi, India), Saumya Gandhi (Visvesvaraya National Institute Of Technology, Nagpur, India), Rajiv Ratn Shah (IIIT Delhi, New Delhi, India), WSDM 2021
"“Short is the Road that Leads from Fear to Hate”: Fear Speech in Indian WhatsApp Groups", Punyajoy Saha (Indian Institute Of Technology, Kharagpur, India), Binny Mathew (Indian Institute Of Technology, Kharagpur, India), Kiran Garimella (Massachusetts Institute Of Technology, USA), Animesh Mukherjee (Indian Institute Of Technology, Kharagpur, India), WWW 2021
"Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels", Mohammadreza Qaraei (Aalto University, Finland), Erik Schultheis (Aalto University, Finland), Priyanshu Gupta (Indian Institute Of Technology, Kanpur, India), Rohit Babbar (Aalto University, Finland), WWW 2021
"ECLARE: Extreme Classification with Label Graph Correlations", Anshul Mittal (IIT Delhi), Noveen Sachdeva (UC San Diego), Sheshansh Agrawal (Microsoft Research, India), Sumeet Agarwal (IIT Delhi), Purushottam Kar (IIT Kanpur), and Manik Varma (Microsoft Research, India), WWW 2021
"ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models", Azin Ghazimatin (Max Plank Institute For Informatics, Germany), Soumajit Pramanik (Indian Institute Of Technology Bhilai, India), Rishiraj Saha Roy (Max Planck Institute For Informatics, Germany), Gerhard Weikum (Max Planck Institute For Informatics, Germany), WWW 2021
"Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading", Ramit Sawhney (IIIT Delhi, India), Shivam Agarwal (Manipal Institute Of Technology, India), Arnav Wadhwa (MIDAS, IIIT Delhi, India), Rajiv Ratn Shah (IIIT Delhi, India), WWW 2021
"Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding", Nuno Mota (Max Planck Institute For Software Systems), Negar Mohammadi (Max Planck Institute For Software Systems), Palash Dey (IIT Kharagpur), Krishna P. Gummadi (Max Planck Institute For Software Systems), Abhijnan Chakraborty (IIT Delhi), WWW 2021
"Joint Spatio-Textual Reasoning for Answering Tourism Questions.", Danish Contractor (IBM Research Ai, India), Shashank Goel, Mausam and Parag Singla (IIT Delhi), WWW 2021
"MStream: Fast Anomaly Detection in Multi-Aspect Streams", Siddharth Bhatia (National University Of Singapore, Singapore), Arjit Jain (Indian Institute Of Technology, Bombay, India), Pan Li (Purdue University, USA), Ritesh Kumar (Indian Institute Of Technology, Kharagpur, India), Bryan Hooi (National University Of Singapore, Singapore), WWW 2021
"PARIMA: Viewport Adaptive 360-Degree Video Streaming", Lovish Chopra (Indian Institute Of Technology, Kharagpur, India), Sarthak Chakraborty (Indian Institute Of Technology, Kharagpur, India), Abhijit Mondal (Indian Institute Of Technology, India), Sandip Chakraborty (Indian Institute Of Technology, Kharagpur, India), WWW 2021
"RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network", Anson Bastos (Indian Institute Of Technology, Hyderabad And Zerotha Research, India), Abhishek Nadgeri (Zerotha Research And RWTH Aachen, Germany), Kuldeep Singh (Zerotha Research And Cerence GmbH, Germany), Isaiah Onando Mulang’ (Zerotha Research And Fraunhofer IAIS, Germany), Saeedeh Shekarpour (University Of Dayton, USA), Johannes Hoffart (Goldman Sachs, Germany), Manohar Kaul (Indian Institute Of Technology, Hyderabad, India), WWW 2021
"Sketch-based Algorithms for Approximate Shortest Paths in Road Networks", Gaurav Aggarwal (Google, India), Sreenivas Gollapudi (Google, USA), Raghavender (Google, India), Ali Kemal Sinop (Google, Turkey), WWW 2021
"A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids", Jain Shweta (Indian Institute Of Technology Ropar), Gujar Sujit (International Institute Of Information Technology Hyderabad), AAAI 2020
"Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-Like Molecules", Yashaswi Pathak (International Institute Of Information Technology Hyderabad), Siddhartha Laghuvarapu (International Institute Of Information Technology Hyderabad), Sarvesh Mehta (International Institute Of Information Technology Hyderabad), U. Deva Priyakumar (International Institute Of Information Technology Hyderabad), AAAI 2020
"Crisis-DIAS: Towards Multimodal Damage Analysis – Deployment, Challenges and Assessment", Mansi Agarwal (Delhi Technological University), Maitree Leekha (Delhi Technological University), Ramit Sawhney (Netaji Subhas Institute Of Technology), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology), AAAI 2020
"Deep Attentive Ranking Networks for Learning to Order Sentences", Pawan Kumar (IIT Kanpur), Dhanajit Brahma (IIT Kanpur), Harish Karnick (IIT Kanpur), Piyush Rai (IIT Kanpur), AAAI 2020
"Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals", Mononito Goswami (Delhi Technological University), Lujie Chen (Carnegie Mellon University), Artur Dubrawski (Carnegie Mellon University), AAAI 2020
"Exploratory Navigation and Selective Reading", Natwar Modani (Adobe Research), Paridhi Maheshwari (Adobe Research), Harsh Deshpande (Indian Institute Of Technology, Bombay), Saurab Sirpurkar (Indian Institute Of Technology, Madras), Diviya . (Indian Institute Of Technology, Roorkee), Somak Aditya (Adobe Research), AAAI 2020
"Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism", Prashant Pandey (IIT Delhi), Prathosh AP (IIT Delhi), Manu Kohli (IIT Delhi), and Josh Pritchard (Florida Institute of Technology), AAAI 2020
"Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition", Yaman Kumar (Adobe), Dhruva Sahrawat (NUS), Shubham Maheshwari (IIIT-Delhi), Debanjan Mahata (Bloomberg), Amanda Stent (Bloomberg), Yifang Yin (NUS), Rajiv Ratn Shah (IIIT-Delhi), Roger Zimmermann (NUS), AAAI 2020
"Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives", Shivang Chopra (Delhi Technological University), Ramit Sawhney (Netaji Subhas Institute Of Technology), Puneet Mathur (University Of Maryland College Park), Rajiv Ratn Shah (IIIT-Delhi), AAAI 2020
"Incremental Fairness in Two-Sided Market Platforms: On Smoothly Updating Recommendations", Gourab K. Patro (IIT Kharagpur), Abhijnan Chakraborty (MPI-SWS), Niloy Ganguly (IIT Kharagpur), Krishna Gummadi (MPI-SWS), AAAI 2020
"Manipulating Districts to Win Elections: Fine-Grained Complexity", Eduard Eiben (University Of London), Fedor Fomin (University Of Bergen), Fahad Panolan (IIT Hyderabad), Kirill Simonov (University Of Bergen), AAAI 2020
"Meta-Learning for Generalized Zero-Shot Learning", Vinay Kumar Verma (IIT Kanpur), Dhanajit Brahma (IIT Kanpur), Piyush Rai (IIT Kanpur), AAAI 2020
"Model AI Assignments 2020", Todd W. Neller (Gettysburg College), Stephen Keeley (Princeton University), Michael Guerzhoy (Princeton University, University Of Toronto, Li Ka Shing Knowledge Institute), Wolfgang Hoenig (California Institute Of Technology), Jiaoyang Li (University Of Southern California), Sven Koenig (University Of Southern California), Ameet Soni (Swarthmore College), Krista Thomason (Swarthmore College), Lisa Zhang (University Of Toronto), Bibin Sebastian (University Of Toronto), Cinjon Resnick (New York University), Avital Oliver (Google), Surya Bhupatiraju (Massachusetts Institute Of Technology), Kumar Krishna Agrawal (Indian Institute Of Technology, Kharagpur), James Allingham (University Of Cambridge), Sejong Yoon (The College Of New Jersey), Jonathan Chen (Washington University In St. Louis), Tom Larsen (Washington University In St. Louis), Marion Neumann (Washington University In St. Louis), Narges Norouzi (University Of California, Santa Cruz), AAAI 2020
"ODSS: Efficient Hybridization for Optimal Coalition Structure Generation", Narayan Changder (National Institute Of Technology Durgapur), Samir Aknine (Lyon 1 University), Sarvapali Ramchurn (University Of Southampton), Animesh Dutta (National Institute Of Technology Durgapur), AAAI 2020
"On Adaptivity in Information-Constrained Online Learning", Siddharth Mitra (Chennai Mathematical Institute), Aditya Gopalan (Indian Institute Of Science), AAAI 2020
"On the Robustness of Face Recognition Algorithms Against Attacks and Bias", Richa Singh (IIT Jodhpur), Akshay Agarwal (IIIT Delhi), Maneet Singh (IIIT Delhi), Shruti Nagpal (IIIT Delhi), Mayank Vatsa (IIT Jodhpur), AAAI 2020
"Online Active Learning of Reject Option Classifiers", Kulin Shah (International Institute Of Information Technology Hyderabad), Naresh Manwani (International Institute Of Information Technology Hyderabad), AAAI 2020
"P-SIF: Document Embeddings Using Partition Averaging", Vivek Gupta (University Of Utah), Ankit Saw (InfoEdge (India) Ltd.), Pegah Nokhiz (University Of Utah), Praneeth Netrapalli (Microsoft Research Lab, Bangalore), Piyush Rai (Computer Science Department, IIT Kanpur), Partha Talukdar (Indian Institute Of Science, Bangalore), AAAI 2020
"Regression under Human Assistance", Abir De (MPI-SWS), Paramita Koley (IIT Kharagpur), Niloy Ganguly (IIT Kharagpur), Manuel Gomez-Rodriguez (MPI-SWS), AAAI 2020
"Semi-Supervised Learning to Perceive Children’s Affective States in a Tablet Tutor", Mansi Agarwal (Delhi Technological University), Jack Mostow (Carnegie Mellon University), AAAI 2020
"Translucent Answer Predictions in Multi-Hop Reading Comprehension", G P Shrivatsa Bhargav (IISc, Bangalore), Michael Glass (IBM Research AI), Dinesh Garg (IBM Research AI), Shirish Shevade (IISc, Bangalore), Saswati Dana (IBM Research AI), Dinesh Khandelwal (IBM Research AI), L Venkata Subramaniam (IBM Research AI), Alfio Gliozzo (IBM Research AI), AAAI 2020
"A Bridge between Polynomial Optimization and Games with Imperfect Recall", Hugo Gimbert (CNRS, LaBRI, Université De Bordeaux, Talence, France), Soumyajit Paul (LaBRI, Université De Bordeaux, Talence, France), B Srivathsan (Chennai Mathematical Institute, Chennai, India), AAMAS 2020
"Algorithms for Swap and Shift Bribery in Structured Elections", Edith Elkind (University Of Oxford, Oxford, United Kingdom), Piotr Faliszewski (AGH University, Kraków, Poland), Sushmita Gupta (National Institute Of Science Education And Research, Bhubaneswer, India), Sanjukta Roy (The Institute Of Mathematical Sciences, HBNI, Chennai, India), AAMAS 2020
"Capturing Oracle Guided Hiders", Akshat Tandon (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Kamalakar Karlapalem (International Institute Of Information Technology, Hyderabad, Hyderabad, India), AAMAS 2020
"Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling", Harshavardhan Kamarthi (Indian Institute Of Technology Madras, Chennai, India), Priyesh Vijayan (McGill University And Mila, Montreal, PQ, Canada), Bryan Wilder (Harvard University, Cambridge, MA, USA), Balaraman Ravindran (Indian Institute Of Technology Madras, Chennai, India), Milind Shashikant Tambe (Harvard University, Cambridge, MA, USA), AAMAS 2020
"Manipulating Node Similarity Measures in Networks", Palash Dey (Indian Institute Of Technology, Kharagpur, India), Sourav Medya (Northwestern University, Evanston, IL, USA), AAMAS 2020
"Minimizing Margin of Victory for Fair Political and Educational Districting", Ana Andreea Stoica (Columbia University, New York, NY, USA), Abhijnan Chakraborty (Max Planck Institute For Software Systems, Saarbrucken, Germany), Palash Dey (Indian Institute Of Technology, Kharagpur, India), Krishna Phani Gummadi (Max Planck Institute For Software Systems, Saarbrucken, Germany), AAMAS 2020
"Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty", Hanching Ou (Harvard University, Cambridge, MA, USA), Arunesh Sinha (Singapore Management University, Singapore, UNK, Singapore), Sze Chuan Suen (University Of Southern California, Los Angeles, CA, USA), Andrew Perrault (Harvard University, Cambridge, MA, USA), Alpan Raval (Wadhwani AI, Mumbai, UNK, India), Milind Shashikant Tambe (Harvard University, Cambridge, MA, USA), AAMAS 2020
"Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification", Pratik Dutta (Indian Institute Of Technology Patna), Sriparna Saha (Indian Institute Of Technology Patna), ACL 2020
"Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis.", D. Chauhan (IIT Patna), R. Dhanush (IIT Patna), Asif Ekbal (IIT Patna), P. Bhattacharyya (IIT Patna), ACL 2020
"Towards Emotion-aided Multi-modal Dialogue Act Classification", Tulika Saha (IIT Patna), Aditya Patra (IIT Patna), Sriparna Saha (IIT Patna), Pushpak Bhattacharyya (IIT Patna And IIT Bombay), ACL 2020
"A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", K R Prajwal (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Rudrabha Mukhopadhyay (International Institute Of Information Technology, Hyderabad, Hyderabad, India), Vinay P Namboodiri (University Of Bath, Bath, United Kingdom), C V Jawahar (International Institute Of Information Technology, Hyderabad, Hyderabad, India), ACM Multimedia 2020
"Concept Drift Detection for Multivariate Data Streams and Temporal Segmentation of Daylong Egocentric Videos", Pravin Nagar (IIIT Delhi), Mansi Khemka (Columbia University), Chetan Arora (IIT Delhi), ACM Multimedia 2020
"Fashionist: Personalising Outfit Recommendation for Cold-Start Scenarios", Dhruv Verma (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), Kshitij Gulati (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), Vasu Goel (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology, Delhi, Delhi, India), ACM Multimedia 2020
"Generalized Zero-Shot Learning using Generated Proxy Unseen Samples and Entropy Separation", Omkar Gune (Indian Institute Of Technology Bombay, Mumbai, India), Biplab Banerjee (Indian Institute Of Technology Bombay, Mumbai, India), Subhasis Chaudhuri (Indian Institute Of Technology Bombay, Mumbai, India), F. Cuzzolin (Oxford Brookes University, London, United Kingdom), ACM Multimedia 2020
"INCLUDE: A Large Scale Dataset for Indian Sign Language Recognition", Advaith Sridhar (IIT Madras, Chennai, India), Rohith Gandhi Ganesan (IIT Madras, Chennai, India), Pratyush Kumar (IIT Madras, Chennai, India), Mitesh M Khapra (IIT Madras, Chennai, India), ACM Multimedia 2020
"Large Scale Hierarchical Anomaly Detection and Temporal Localization", Soumil Kanwal (Indian Institute Of Technology Ropar, Ropar, India), Vineet Mehta (Indian Institute Of Technology Ropar, Ropar, India), Abhinav Dhall (Monash University & Indian Institute Of Technology Ropar, City Of Monash, Australia), ACM Multimedia 2020
"LIGHTEN: Learning Interactions with Graph and Hierarchical TEmporal Networks for HOI in videos", Sai Praneeth Sunkesula (Indian Institute Of Technology, Bombay, Mumbai, India), Rishabh Dabral (Indian Institute Of Technology, Bombay, Mumbai, India), Ganesh Ramakrishnan (Indian Institute Of Technology, Bombay, Mumbai, India), ACM Multimedia 2020
"MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos", Murari Mandal (Malaviya National Institute Of Technology Jaipur, Jaipur, India), Lav Kush Kumar (Malaviya National Institute Of Technology Jaipur, Jaipur, India), Santosh Kumar Vipparthi (Malaviya National Institute Of Technology Jaipur, Jaipur, India), ACM Multimedia 2020
"Multimodal Multi-Task Financial Risk Forecasting", Ramit Sawhney (Netaji Subhas Institute Of Technology, New Delhi, India), Puneet Mathur (University Of Maryland, College Park, Washington DC, DC, USA), Ayush Mangal (IIT Roorkee, Roorkee, India), Piyush Khanna (Delhi Technological University, New Delhi, India), Rajiv Ratn Shah (Indraprastha Institute Of Information Technology, Delhi, New Delhi, India), R. Zimmermann (National University Of Singapore, Singapore, Singapore), ACM Multimedia 2020
"Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization", Komal Chugh (Indian Institute Of Technology Ropar, Ropar, India), Parul Gupta (Indian Institute Of Technology Ropar, Ropar, India), Abhinav Dhall (Monash University & Indian Institute Of Technology Ropar, City Of Monash, Australia), Ramanathan Subramanian (Indian Institute Of Technology Ropar, Ropar, India), ACM Multimedia 2020
"Recognizing Camera Wearer from Hand Gestures in Egocentric Videos: https://egocentricbiometric.github.io/", Daksh Thapar (Indian Institute Of Technology Mandi, Mandi, India), Aditya Nigam (Indian Institute Of Technology Mandi, Mandi, India), Chetan Arora (Indian Institute Of Technology Delhi, New Delhi, India), ACM Multimedia 2020
"3DRegNet: A Deep Neural Network for 3D Point Registration", G. Dias Pais (Instituto Superior Técnico, Lisboa,), Srikumar Ramalingam (Google Research, NY,), Venu Madhav Govindu (Indian Institute Of Science, Bengaluru,), Jacinto C. Nascimento (Instituto Superior Técnico, Lisboa,), Rama Chellappa (University Of Maryland, College Park,), Pedro Miraldo (Instituto Superior Técnico, Lisboa,), CVPR 2020
"From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks", K L Navaneet (Indian Institute Of Science,), Ansu Mathew (Indian Institute Of Science,), Shashank Kashyap (Indian Institute Of Science,), Wei-Chih Hung (University Of California, Merced,), Varun Jampani (Google Research,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore, India,), CVPR 2020
"Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis", K R Prajwal (IIIT Hyderabad), Rudrabha Mukhopadhyay (IIIT Hyderabad), Vinay P. Namboodiri (University Of Bath), C. V. Jawahar (IIIT Hyderabad), CVPR 2020
"Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation", Rahul Mitra (IIT Bombay,), Nitesh B. Gundavarapu (UC San Diego,), Abhishek Sharma (Axogyan AI,), Arjun Jain (IISc Bangalore,), CVPR 2020
"Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis", Jogendra Nath Kundu (Indian Institute Of Science, Bangalore,), Siddharth Seth (Indian Institute Of Science, Bangalore,), Varun Jampani (Google Research,), Mugalodi Rakesh (Indian Institute Of Science, Bangalore,), R. Venkatesh Babu (Indian Institute Of Science, Bangalore, India,), Anirban Chakraborty (Indian Institute Of Science, Bangalore,), CVPR 2020
"Single-Step Adversarial Training With Dropout Scheduling", B. S. Vivek (Department Of Computational And Data Sciences, Indian Institute Of Science, Bangalore, India,), R. Venkatesh Babu (Department Of Computational And Data Sciences, Indian Institute Of Science, Bangalore, India,), CVPR 2020
"Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes", Sravanti Addepalli (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore, India,), B. S. Vivek (Department Of Computational And Data Sciences, Indian Institute Of Science, Bangalore, India,), Arya Baburaj (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore, India,), Gaurang Sriramanan (Department Of Computational And Data Sciences, Video Analytics Lab, Indian Institute Of Science, Bangalore, India,), R. Venkatesh Babu (Department Of Computational And Data Sciences, Indian Institute Of Science, Bangalore, India,), CVPR 2020
"Universal Source-Free Domain Adaptation", Jogendra Nath Kundu (Video Analytics Lab, CDS, Indian Institute Of Science, Bangalore, India,), Naveen Venkat (Video Analytics Lab, CDS, Indian Institute Of Science, Bangalore, India,), M. V. Rahul (Video Analytics Lab, CDS, Indian Institute Of Science, Bangalore, India,), R. Venkatesh Babu (Video Analytics Lab, CDS, Indian Institute Of Science, Bangalore, India,), CVPR 2020
"Varicolored Image De-Hazing", Akshay Dudhane (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology Ropar, INDIA,), Kuldeep M. Biradar (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology, Ropar, Ropar, India,), Prashant W. Patil (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology, Ropar, Ropar, India,), Praful Hambarde (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology Ropar, INDIA,), Subrahmanyam Murala (Computer Vision And Pattern Recognition Lab, Indian Institute Of Technology Ropar, INDIA,), CVPR 2020
"An Inference Algorithm for Multi-label MRF-MAP Problems with Clique Size 100", Ishant Shanu (Indraprastha Institute Of Information Technology, Delhi, India), Siddhant Bharti (Indraprastha Institute Of Information Technology, Delhi, India), Chetan Arora (Indian Institute Of Technology, Delhi, India), S. N. Maheshwari (Indian Institute Of Technology, Delhi, India), ECCV 2020
"Attributional Robustness Training using Input-Gradient Spatial Alignment", Mayank Singh (Adobe), Nupur Kumari (Adobe), Puneet Mangla (IIT-Hyderabad), Abhishek Sinha (Adobe), Vineeth N Balasubramanian (IIT-Hyderabad), Balaji Krishnamurthy (Adobe), ECCV 2020
"Contextual Diversity for Active Learning", Sharat Agarwal (IIIT-Delhi, New Delhi, India), Himanshu Arora (Flixstock Inc., New Delhi, India), Saket Anand (IIIT-Delhi, New Delhi, India), Chetan Arora (Indian Institute Of Technology Delhi, New Delhi, India), ECCV 2020
"Is Sharing of Egocentric Video Giving Away Your Biometric Signature?", Daksh Thapar (Indian Institute Of Technology Mandi, Mandi, India), Chetan Arora (Indian Institute Of Technology Delhi, New Delhi, India), Aditya Nigam (Indian Institute Of Technology Mandi, Mandi, India), ECCV 2020
"Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search,", Ayush Tyagi (IIT Delhi), Sameer Ambekar (IIT Delhi), Prashant Pandey (IIT Delhi) and Prathosh AP (IIT Delhi), ECCV 2020
"Table Structure Recognition using Top-Down and Bottom-Up Cues", Sachin Raja (IIIT Hyderabad), Ajoy Mondal (IIIT Hyderabad) and C. V. Jawahar (IIIT Hyderabad), ECCV 2020
"An Interval-centric Model for Distributed Computing over Temporal Graphs", Swapnil Gandhi (Indian Institute Of Science, Bangalore,), Yogesh Simmhan (Indian Institute Of Science, Bangalore,), ICDE 2020
"Implementation of physiological signal based emotion recognition algorithm", Cynthia Joesph (Department Of ECE, Coimbatore Institute Of Technology, Coimbatore, India,), A. Rajeswari (Department Of ECE, Coimbatore Institute Of Technology, Coimbatore, India,), B. Premalatha (Department Of ECE, Coimbatore Institute Of Technology, Coimbatore, India,), C. Balapriya (Department Of ECE, Coimbatore Institute Of Technology, Coimbatore, India,), ICDE 2020
"Spatiotemporal Hypergraph Convolution Network for Stock Movement Forecasting", Ramit Sawhney (IIIT Delhi, New Delhi, India,), Shivam Agarwal (Manipal Institute Of Technology, Karnataka, India,), Arnav Wadhwa (MIDAS, IIIT Delhi, New Delhi, India,), Rajiv Ratn Shah (IIIT Delhi, New Delhi, India,), ICDM 2020
"Near-optimal sample complexity bounds for learning Latent k-polytopes and applications to Ad-Mixtures", Chiranjib Bhattacharyya (IISc), Ravindran Kannan (MSR India), ICML 2020
"Target-Independent Domain Adaptation for WBC Classification Using Generative Latent Search", Prashant Pandey (Indian Institute Of Technology Delhi), Prathosh A. P (Indian Institute Of Technology Delhi), Vinay Kyatham (SigTuple Technologies Pvt. Ltd., Bangalore), Deepak Mishra (Indian Institute Of Technology Jodhpur), Tathagato Rai Dastidar (SigTuple Technologies Pvt. Ltd., Bangalore), IEEE TMI 2020
"A Survey on Using Gaze Behaviour for Natural Language Processing", Sandeep Mathias (Indian Institute Of Technology Bombay), Diptesh Kanojia (Indian Institute Of Technology Bombay), Abhijit Mishra (Apple Inc), Pushpak Bhattacharyya (Indian Institute Of Technology Bombay), IJCAI 2020
"Learning With Subquadratic Regularization : A Primal-Dual Approach", Raman Sankaran (IISc), Francis R. Bach (INRIA), Chiranjib Bhattacharyya (IISc), IJCAI 2020
"Logic Constrained Pointer Networks for Interpretable Textual Similarity", Subhadeep Maji (Amazon, India), Rohan Kumar (Flipkart, India), Manish Bansal (Flipkart, India), Kalyani Roy (IIT Kharagpur), Pawan Goyal (IIT Kharagpur), IJCAI 2020
"A Graph Based Framework for Structured Prediction Tasks in Sanskrit", Amrith Krishna (University Of Cambridge), Bishal Santra (IIT Kharagpur), Ashim Gupta (University Of Utah), Pavankumar Satuluri (Chinmaya Vishwavidyapeeth), Pawan Goyal (IIT Kharagpur), J. Computational Linguistics 2020
"Calibrating CNNs for Lifelong Learning", Pravendra Singh (IIT Kanpur), Vinay Verma (Duke U.), Pratik Mazumder (IIT Kanpur), Lawrence Carin (Duke U.), and Piyush Rai (IIT Kanpur), NeurIPS 2020
"Consistent Plug-in Classifiers for Complex Objectives and Constraints", Shiv Kumar Tavker (IIT Madras), Harish G. Ramaswamy (IIT Madras) and Harikrishna Narasimhan (Google Research), NeurIPS 2020
"Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games", A. S. Suggala (CMU) and P. Netrapalli (Microsoft Research India), NeurIPS 2020
"Inductive Quantum Embedding", Dhiraj Madan (IBM Research India), Santosh K. Srivastava (IBM Research India), Dinesh Khandelwal (IBM Research India), Dinesh Garg (IBM Research India), Hima Karnam (IBM Research India), LV Subramaniam (IBM Research India), NeurIPS 2020
"Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms [*]", G. Bresler (MIT), P. Jain (Microsoft Research India), D. Nagaraj (MIT), P. Netrapalli (Microsoft Research India) and X. Wu (Stanford), NeurIPS 2020
"Meta-consolidation for Continual Learning", Joseph K J (IIT-Hyderabad), Vineeth N Balasubramanian (IIT-Hyderabad), NeurIPS 2020
"MOReL : Model-Based Offline Reinforcement Learning", R. Kidambi (Cornell), A. Rajeswaran (U. Washington), P. Netrapalli (Microsoft Research India) and T. Joachims (Cornell), NeurIPS 2020
"Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method", K. K. Thekumparampil (University of Illinois at Urbana-Champaign), P. Jain (Microsoft Research India), P. Netrapalli (Microsoft Research India) and S. Oh (U. Washington), NeurIPS 2020
"Self-Supervised Few-Shot Learning on Point Clouds", Charu Sharma (Indian Institute Of Technology Hyderabad), Manohar Kaul (Indian Institute Of Technology Hyderabad), NeurIPS 2020
"Statistical Optimal Transport posed as Learning Kernel Embedding", J. SakethaNath (IIT HYDERABAD), Pratik Jawanpuria (Microsoft IDC, HYDERABAD), NeurIPS 2020
"The Pitfalls of Simplicity Bias in Neural Networks", H. Shah (Microsoft Research India), K. Tamuly (Microsoft Research India), A. Raghunathan (Stanford), P. Jain (Microsoft Research India) and P. Netrapalli (Microsoft Research India), NeurIPS 2020
"ChiSeL: Graph Similarity Search using Chi-Squared Statistics in Large Probabilistic Graphs", Shubhangi Agarwal (IIT Kanpur), Sourav Dutta (Huawei Research, Ireland), Arnab Bhattacharya (IIT Kanpur), PVLDB 2020
"Mining Top-k Pairs of Correlated Subgraphs in a Large Network", Arneish Prateek (IIT Delhi), Arijit Khan (Nanyang Technological University, Singapore), Akshit Goyal (IIT Delhi), Sayan Ranu (IIT Delhi), PVLDB 2020
"Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity", Paheli Bhattacharya (Indian Institute Of Technology Kharagpur, Kharagpur, India), Kripabandhu Ghosh (Tata Research Development And Design Centre, Pune, India), Arindam Pal (Data61, CSIRO And Cyber Security CRC, Sydney, Australia), Saptarshi Ghosh (Indian Institute Of Technology Kharagpur, Kharagpur, India), SIGIR 2020
"How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements", Noveen Sachdeva (International Institute Of Information Technology, Hyderabad, India), Julian John McAuley (University Of California, San Diego, San Diego, CA, USA), SIGIR 2020
"Leveraging Social Media for Medical Text Simplification", Nikhil Pattisapu (International Institute Of Information Technology Hyderabad, Hyderabad, India), Nishant Prabhu (International Institute Of Information Technology Hyderabad, Hyderabad, India), Smriti Bhati (International Institute Of Information Technology Hyderabad, Hyderabad, India), Vasudeva Varma (International Institute Of Information Technology Hyderabad, Hyderabad, India), SIGIR 2020
"MetaGen: An academic Meta-review Generation system", Chaitanya Bhatia (Indian Institute Of Technology (BHU), Varanasi, Varanasi, India), Tribikram Pradhan (Indian Institute Of Technology (BHU), Varanasi, Varanasi, India), Sukomal Pal (Indian Institute Of Technology (BHU), Varanasi, Varanasi, India), SIGIR 2020
"Multi-Modal Summary Generation using Multi-objective Optimization", Anubhav Jangra (Indian Institute Of Technology Patna, India), Sriparna Saha (Indian Institute Of Technology Patna, India), Adam Jatowt (Kyoto University, Japan), Mohammed Hasanuzzaman (Cork Institute Of Technology, Ireland), SIGIR 2020
"MVL: Multi-View Learning for News Recommendation", Tokala Yaswanth S S Santosh (IIT Kharagpur, Kharagpur, India), Avirup Saha (IIT Kharagpur, Kharagpur, India), Niloy Ganguly (IIT Kharagpur, Kharagpur, India), SIGIR 2020
"Predicting Session Length for Product Search on E-commerce Platform", Shashank Gupta (Flipkart Internet Private Limited, BENGALURU, India), Subhadeep Maji (Flipkart Internet Private Limited, BENGALURU, India), SIGIR 2020
"Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews", Rajdeep Mukherjee (IIT Kharagpur, Kharagpur, India), Hari Chandana Peruri (IIT Kharagpur, Kharagpur, India), Uppada Vishnu (IIT Kharagpur, Kharagpur, India), Pawan Goyal (IIT Kharagpur, Kharagpur, India), Sourangshu Bhattacharya (Indian Institute Of Technology Kharagpur), Niloy Ganguly (Indian Institute Of Technology Kharagpur), SIGIR 2020
"Deep Exogenous and Endogenous Influence Combination for Social Chatter Intensity Prediction", Subhabrata Dutta (Jadavpur University), Sarah Masud (IIIT Delhi), Soumen Chakrabarti (IIT Bombay), Tanmoy Chakraborty (IIIT Delhi), SIGKDD 2020
"Game Action Modeling for Fine Grained Analyses of Player Behavior in Multi-player Card Games", Sharanya Eswaran (Games24x7), Mridul Sachdeva (Games24x7), Vikram Vimal (Games24x7), Deepanshi Seth (Games24x7), Suhas Kalpam (Games24x7), Sanjay Agarwal (Games24x7), Tridib Mukherjee (Games24x7), Samrat Dattagupta (Games24x7), SIGKDD 2020
"Learning with Limited Labels via Momentum Damped & Differentially Weighted Optimization", Rishabh Mehrotra (Spotify Research, London, United Kingdom), Ashish Gupta (Walmart Labs, Bangalore, India), SIGKDD 2020
"Off-policy Bandits with Deficient Support", Noveen Sachdeva (International Institute Of Information Technology Hyderabad, Hyderabad, India), Yi Su (Cornell University, Ithaca, NY, USA), Thorsten Joachims (Cornell University, Ithaca, NY, USA), SIGKDD 2020
"Pest Management In Cotton Farms: An AI-System Case Study from the Global South", Aman Dalmia (Wadhwani Institute For Artificial Intelligence, Mumbai, India), Jerome White (Wadhwani Institute For Artificial Intelligence, Mumbai, India), Ankit Chaurasia (Wadhwani Institute For Artificial Intelligence, Mumbai, India), Vishal Agarwal (Wadhwani Institute For Artificial Intelligence, Mumbai, India), Rajesh Jain (), Dhruvin Vora (), Balasaheb Dhame (), Raghu Dharmaraju (), Rahul Alex Panicker (), SIGKDD 2020
"Retrospective Loss: Looking Back to Improve Training of Deep Neural Networks", Surgan Jandial (IIT Hyderabad), Ayush Chopra (Adobe), Mausoom Sarkar (Adobe), Piyush Gupta (Adobe), Balaji Krishnamurthy (Adobe), Vineeth N Balasubramanian (IIT-Hyderabad), SIGKDD 2020
"Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates", Surabhi Gupta (Microsoft Research India, Bengaluru, India), Sanket Purandare (Harvard University, Cambridge, MA, USA), Karthik Ramachandra (Microsoft Research India, Bengaluru, India), SIGMOD 2020
"Factorized Graph Representations for Semi-Supervised Learning from Sparse Data", Krishna Kumar P (IIT Madras, Madras, India), Paul Langton (Northeastern University, Boston, MA, USA), Wolfgang Gatterbauer (Northeastern University, Boston, MA, USA), SIGMOD 2020
"The Case for a Learned Sorting Algorithm", Ani Kristo (Brown University, Providence, RI, USA), Kapil Vaidya (Massachusetts Institute Of Technology, Cambridge, MA, USA), Uǧur Çetintemel (Brown University, Providence, RI, USA), Sanchit Misra (Intel Labs, Bangalore, India), Tim Kraska (Massachusetts Institute Of Technology, Cambridge, MA, USA), SIGMOD 2020
"Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining", Ananya B. Sai (IIT Madras), Akash Kumar Mohankumar (IIT Madras), Siddhartha Arora (IIT Madras), Mitesh M. Khapra (IIT Madras), TACL 2020
"Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval", Andrew Yates (Max Planck Institute For Informatics, Saarbruecken, Germany), Siddhant Arora (Indian Institute Of Technology, Delhi, India), Xinyu Zhang (University Of Waterloo, Waterloo, ON, Canada), Wei Yang (University Of Waterloo, Waterloo, ON, Canada), Kevin Martin Jose (Saarland University & Max Planck Institute For Informatics, Saarbruecken, Germany), Jimmy J Lin (University Of Waterloo, Waterloo, ON, Canada), WSDM 2020
"Extreme Regression for Dynamic Search Advertising", Yashoteja Prabhu (Microsoft Research India & Indian Institute Of Technology Delhi, Bengaluru, India), Aditya Kusupati (University Of Washington, Seattle, WA, USA), Nilesh Gupta (Microsoft Research India, Bengaluru, India), Manik Varma (Microsoft Research India & Indian Institute Of Technology Delhi, Bengaluru, India), WSDM 2020
"FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages", Ankush Chatterjee (Microsoft AI Research, Hyderabad, India), Manish Gupta (Microsoft AI Research, Hyderabad, India), Puneet Agrawal (Microsoft AI Research, Hyderabad, India), WSDM 2020
"LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding", Ayan Kumar Bhowmick (Indian Institute Of Technology Kharagpur, Kharagpur, West Bengal, India), Koushik Meneni (Indian Institute Of Technology Kharagpur, Kharagpur, West Bengal, India), Maximilien Danisch (Sorbonne Université, CNRS, Laboratoire D`Informatique De Paris 6, LIP6, Paris, France, France), Jean Loup Guillaume (L3I, University Of La Rochelle, La Rochelle, France), Bivas Mitra (Indian Institute Of Technology Kharagpur, Kharagpur, West Bengal, India), WSDM 2020
"Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding", Sambaran Bandyopadhyay (IBM Research, Bangalore, India), Lokesh N (Indian Institute Of Science, Bangalore, India), Saley Vishal Vivek (Indian Institute Of Science, Bangalore, India), M Narasimha Murty (Indian Institute Of Science, Bangalore, India), WSDM 2020
"eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection", Ramnath Kumar (Birla Institute Of Technology And Science Hyderabad, India), Shweta Yadav (Wright State University Dayton, Ohio, USA), Raminta Daniulaityte (Wright State University Dayton, Ohio, USA), Francois R Lamy (Mahidol University Thailand), Krishnaprasad Thirunarayan (Wright State University Dayton, Ohio, USA), Usha Lokala (Wright State University Dayton, Ohio, USA), Amit P. Sheth (University Of South Carolina Columbia, South Carolina, USA), WWW 2020