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2020 – today
- 2025
[c8]Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L. Leavitt, Mansheej Paul:
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models. ICLR 2025- [c7]Tanishq Kumar, Zachary Ankner, Benjamin Frederick Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan:
Scaling Laws for Precision. ICLR 2025 - [c6]Saaketh Narayan, Abhay Gupta, Mansheej Paul, Davis W. Blalock:
µnit Scaling: Simple and Scalable FP8 LLM Training. ICML 2025 - [i12]Anat Kleiman, Gintare Karolina Dziugaite, Jonathan Frankle, Sham M. Kakade, Mansheej Paul:
Soup to go: mitigating forgetting during continual learning with model averaging. CoRR abs/2501.05559 (2025) - [i11]Saaketh Narayan, Abhay Gupta, Mansheej Paul, Davis W. Blalock:
μnit Scaling: Simple and Scalable FP8 LLM Training. CoRR abs/2502.05967 (2025) - 2024
- [j1]Dan Biderman, Jacob P. Portes, Jose Javier Gonzalez Ortiz, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John Patrick Cunningham:
LoRA Learns Less and Forgets Less. Trans. Mach. Learn. Res. 2024 (2024) - [i10]Dan Biderman, Jose Javier Gonzalez Ortiz, Jacob P. Portes, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John P. Cunningham:
LoRA Learns Less and Forgets Less. CoRR abs/2405.09673 (2024) - [i9]Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L. Leavitt, Mansheej Paul:
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models. CoRR abs/2405.20541 (2024) - [i8]Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle:
Does your data spark joy? Performance gains from domain upsampling at the end of training. CoRR abs/2406.03476 (2024) - [i7]Zachary Ankner, Mansheej Paul, Brandon Cui, Jonathan D. Chang, Prithviraj Ammanabrolu:
Critique-out-Loud Reward Models. CoRR abs/2408.11791 (2024) - [i6]Tanishq Kumar, Zachary Ankner, Benjamin Spector, Blake Bordelon, Niklas Muennighoff, Mansheej Paul, Cengiz Pehlevan, Christopher Ré, Aditi Raghunathan:
Scaling Laws for Precision. CoRR abs/2411.04330 (2024) - 2023
- [c5]Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite:
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? ICLR 2023 - [c4]Allan Raventós, Mansheej Paul, Feng Chen, Surya Ganguli:
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression. NeurIPS 2023 - [i5]Allan Raventós, Mansheej Paul, Feng Chen
, Surya Ganguli:
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression. CoRR abs/2306.15063 (2023) - 2022
- [c3]Mansheej Paul, Brett W. Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite:
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks. NeurIPS 2022 - [i4]Mansheej Paul, Brett W. Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite:
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks. CoRR abs/2206.01278 (2022) - [i3]Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite:
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? CoRR abs/2210.03044 (2022) - 2021
- [c2]Mansheej Paul, Surya Ganguli, Gintare Karolina Dziugaite:
Deep Learning on a Data Diet: Finding Important Examples Early in Training. NeurIPS 2021: 20596-20607 - [i2]Mansheej Paul, Surya Ganguli, Gintare Karolina Dziugaite:
Deep Learning on a Data Diet: Finding Important Examples Early in Training. CoRR abs/2107.07075 (2021) - 2020
- [c1]Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul, Sepideh Kharaghani, Daniel M. Roy, Surya Ganguli:
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel. NeurIPS 2020 - [i1]Stanislav Fort, Gintare Karolina Dziugaite, Mansheej Paul, Sepideh Kharaghani, Daniel M. Roy, Surya Ganguli:
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel. CoRR abs/2010.15110 (2020)
Coauthor Index
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last updated on 2025-12-08 11:09 CET by the dblp team
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