Philip Pham

Philip Pham

I am currently a software engineer at Waymo, where I apply machine learning to motion planning. Before, I worked in Google Research. My research focused on increasing model capacity and understanding inductive biases of neural networks. Natural language processing (NLP) was the main application area. Previously at Google, I worked on internal web applications. I studied mathematics at Duke University (B.S.) and University of Pennsylvania (M.A.) and statistics at the University of Washington.
Authored Publications
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    Google
ReadTwice: Reading Very Large Documents with Memories
Yury Zemlyanskiy
Joshua Ainslie
Michiel de Jong
Ilya Eckstein
Proceedings of NAACL (2021) (to appear)
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Prashanth Guruganesh
Joshua Ainslie
Anirudh Ravula
Qifan Wang
Li Yang
NeurIPS (2020)
ETC: Encoding Long and Structured Inputs in Transformers
Anirudh Ravula
Joshua Ainslie
Li Yang
Qifan Wang
Vaclav Cvicek
2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)