Felix Yu
I work on large-scale machine learning at Google. More info can be found at www.felixyu.org.
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Authored Publications
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On Emergence of Activation Sparsity in Trained Transformers
Zonglin Li
Chong You
Daliang Li
Ke Ye
International Conference on Learning Representations (ICLR) (2023)
Serving Graph Compression for Graph Neural Networks
Cho-Jui Hsieh
International Conference on Learning Representations (ICLR) (2023)
A Field Guide to Federated Optimization
Jianyu Wang
Gauri Joshi
Maruan Al-Shedivat
Galen Andrew
A. Salman Avestimehr
Katharine Daly
Deepesh Data
Suhas Diggavi
Hubert Eichner
Advait Gadhikar
Antonious M. Girgis
Filip Hanzely
Chaoyang He
Samuel Horvath
Martin Jaggi
Tara Javidi
Satyen Chandrakant Kale
Sai Praneeth Karimireddy
Jakub Konečný
Sanmi Koyejo
Tian Li
Peter Richtarik
Karan Singhal
Virginia Smith
Mahdi Soltanolkotabi
Weikang Song
Sebastian Stich
Ameet Talwalkar
Hongyi Wang
Blake Woodworth
Honglin Yuan
Manzil Zaheer
Mi Zhang
Tong Zhang
Chunxiang (Jake) Zheng
Chen Zhu
arxiv (2021)
RankDistil: Distillation for Ranking
Aditya Krishna Menon
Seungyeon Kim
AISTATS 2021 (2021)
Disentangling sampling and labeling bias for learning in large-output spaces
Aditya Krishna Menon
Sadeep Jayasumana
International Conference on Machine Learning (ICML) 2021
Semantic label smoothing for sequence to sequence problems
Himanshu Jain
Aditya Krishna Menon
Seungyeon Kim
EMNLP (2020) (to appear)
Modifying Memories in Transformer Models
Chen Zhu
Daliang Li
Manzil Zaheer
Arxiv (2020)
