Philip Pham

Publication Activity (10 Years)

Years Active: 2020-2021
Publications (10 Years): 14

Top Topics

Fractional Brownian Motion

Hierarchical Clustering

Omnidirectional Camera

Top Venues

Publications

Yury Zemlyanskiy, Joshua Ainslie, Michiel de Jong, Philip Pham, Ilya Eckstein, Fei Sha
ReadTwice: Reading Very Large Documents with Memories. CoRR (2021)
Yury Zemlyanskiy, Joshua Ainslie, Michiel de Jong, Philip Pham, Ilya Eckstein, Fei Sha
ReadTwice: Reading Very Large Documents with Memories. NAACL-HLT (2021)
Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang
Neural Structured Learning: Training Neural Networks with Structured Signals. WSDM (2021)
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
OmniNet: Omnidirectional Representations from Transformers. CoRR (2021)
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
Long Range Arena : A Benchmark for Efficient Transformers. ICLR (2021)
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Prakash Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler
OmniNet: Omnidirectional Representations from Transformers. ICML (2021)
Sara Ahmadian, Alessandro Epasto, Marina Knittel, Ravi Kumar, Mohammad Mahdian, Benjamin Moseley, Philip Pham, Sergei Vassilvitskii, Yuyan Wang
Fair Hierarchical Clustering. NeurIPS (2020)
Joshua Ainslie, Santiago Ontañón, Chris Alberti, Philip Pham, Anirudh Ravula, Sumit Sanghai
ETC: Encoding Long and Structured Data in Transformers. CoRR (2020)
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
Big Bird: Transformers for Longer Sequences. NeurIPS (2020)
Sara Ahmadian, Alessandro Epasto, Marina Knittel, Ravi Kumar, Mohammad Mahdian, Benjamin Moseley, Philip Pham, Sergei Vassilvitskii, Yuyan Wang
Fair Hierarchical Clustering. CoRR (2020)
Joshua Ainslie, Santiago Ontañón, Chris Alberti, Vaclav Cvicek, Zachary Fisher, Philip Pham, Anirudh Ravula, Sumit Sanghai, Qifan Wang, Li Yang
ETC: Encoding Long and Structured Inputs in Transformers. EMNLP (1) (2020)
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
Long Range Arena: A Benchmark for Efficient Transformers. CoRR (2020)
Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontañón, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed
Big Bird: Transformers for Longer Sequences. CoRR (2020)
Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu
Neural Structured Learning: Training Neural Networks with Structured Signals. KDD (2020)