Prajit Ramachandran

20 papers A* 5A 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	Scaling Local Self-Attention for Parameter Efficient Visual Backbones. CVPR Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens
2021	J	`jnl`	Scaling Local Self-Attention for Parameter Efficient Visual Backbones. CoRR Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens
2020	A*	`conf`	Revisiting Fundamentals of Experience Replay. ICML William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney
2020	J	`jnl`	Revisiting Fundamentals of Experience Replay. CoRR William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney
2020	A*	`conf`	Revisiting Spatial Invariance with Low-Rank Local Connectivity. ICML Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith
2020	J	`jnl`	Revisiting Spatial Invariance with Low-Rank Local Connectivity. CoRR Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith
2019	—	`conf`	Diversity and Depth in Per-Example Routing Models. ICLR (Poster) Prajit Ramachandran, Quoc V. Le
2019	A*	`conf`	Stand-Alone Self-Attention in Vision Models. NeurIPS Niki Parmar, Prajit Ramachandran, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens
2019	J	`jnl`	Stand-Alone Self-Attention in Vision Models. CoRR Prajit Ramachandran, Niki Parmar, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens
2018	J	`jnl`	Backprop Evolution. CoRR Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc V. Le
2018	—	`conf`	Searching for Activation Functions. ICLR (Workshop) Prajit Ramachandran, Barret Zoph, Quoc V. Le
2017	—	`conf`	Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017	J	`jnl`	Fast Generation for Convolutional Autoregressive Models. CoRR Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang
2017	J	`jnl`	Searching for Activation Functions. CoRR Prajit Ramachandran, Barret Zoph, Quoc V. Le
2017	A	`conf`	Stein Variational Policy Gradient. UAI Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng
2017	J	`jnl`	Stein Variational Policy Gradient. CoRR Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng
2017	A*	`conf`	Unsupervised Pretraining for Sequence to Sequence Learning. EMNLP Prajit Ramachandran, Peter J. Liu, Quoc V. Le
2016	J	`jnl`	Fast Wavenet Generation Algorithm. CoRR Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016	J	`jnl`	Seq-NMS for Video Object Detection. CoRR Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang
2016	J	`jnl`	Unsupervised Pretraining for Sequence to Sequence Learning. CoRR Prajit Ramachandran, Peter J. Liu, Quoc V. Le