Replying to @MIT_CSAIL and @StackOverflow
I swear it was working yesterday. #CodingIn6Words
Machine Learning Dept. at Carnegie Mellon
2,757 posts
Machine Learning Dept. at Carnegie Mellon
@mldcmu
The top education and research institution in the ๐ for #AI and #machinelearning | Research
โ blog.ml.cmu.edu | Learn more โ
- Are you an undergraduate, master's or PhD student? Want to spend next summer at @SCSatCMU researching how to make machine learning systems more robust, transparent, fair, and adaptable to real world problems? Apply for our 2022 summer internship! bit.ly/3qyF6vF
- Representer Point Selection for Explaining Deep Neural Networks by Joon Sik Kim & Chih-Kuan Yeh, @mldcmu Why did a Deep Neural Network #DNN make a certain prediction? Although DNNs... Learn more: mld.ai/c4307 #AI #machinelearning #deeplearning #ML
- We are delighted to welcome our new faculty members Rayid Ghani, Yuanzhi Li, Andrej Risteski, Virginia Smith and Tianqi Chen to @mldcmu! Learn more โ mld.ai/d6f2f #Academia #MachineLearning #mldcmu #ML #ArtificialIntelligence #CarnegieMellon
- Are you an undergraduate, master's or PhD student? Want to spend next summer at @SCSatCMU researching how to make machine learning systems more robust, transparent, fair, and adaptable to real world problems? Apply for our 2022 summer internship! bit.ly/3qyF6vF
- From all of us at the Machine Learning Department at CMU, we wish you a happy holiday season and a prosperous New Year!๐ค
- We're looking for new tenure- and teaching-track faculty. Come join the world's first and finest academic machine learning department!
- Machine Learning Department group 2019, including some members of our faculty, students, and staff. - at @CarnegieMellon
- Congratulations to Virginia Smith on being named @Samsung AI Researcher of the Year! cs.cmu.edu/news/2023/smitโฆ
- In case you'd like to take a look at the work from @geoffreyhinton while he was working on #backpropagation while at #scsatcmu Plaut, D., Nowlan, S. and Hinton, G. E.ย Experiments on learning by back-propagation Technical Report CMU-CS-86-126 - mld.ai/backprop #ml #ai
- Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK) by Simon Du @mldcmu, and Wei Hu @Princeton Learn more โ mld.ai/8i9w #deeplearning #machinelearning #ML #research
- MLD Assistant Professor Virginia Smith received an @NSF CAREER Award for nearly $600,000 to establish and study the use of federated multitask learning. Federated learning operates on user data and networks of devices. bit.ly/3zhEvCF
- Congratulations to Andrej Risteski (@risteski_a) on receiving Best Young Scientist Award from President of Macedonia! cs.cmu.edu/news/2023/ristโฆ
