Seq-NMS for Video Object Detection. - Wei Han 002; Pooya Khorrami; Tom Le Paine; Prajit Ramachandran; Mohammad Babaeizadeh; Honghui Shi; Jianan Li 001; Shuicheng Yan; Thomas S. Huang (CoRR, 2016)

Fast Wavenet Generation Algorithm. - Tom Le Paine; Pooya Khorrami; Shiyu Chang; Yang Zhang 001; Prajit Ramachandran; Mark A. Hasegawa-Johnson; Thomas S. Huang (CoRR, 2016)

Unsupervised Pretraining for Sequence to Sequence Learning. - Prajit Ramachandran; Peter J. Liu; Quoc V. Le (EMNLP, 2017)

Fast Generation for Convolutional Autoregressive Models. - Prajit Ramachandran; Tom Le Paine; Pooya Khorrami; Mohammad Babaeizadeh; Shiyu Chang; Yang Zhang 001; Mark A. Hasegawa-Johnson; Roy H. Campbell; Thomas S. Huang (ICLR (Workshop), 2017)

Stein Variational Policy Gradient. - Yang Liu 097; Prajit Ramachandran; Qiang Liu 001; Jian Peng 001 (UAI, 2017)

Searching for Activation Functions. - Prajit Ramachandran; Barret Zoph; Quoc V. Le (ICLR (Workshop), 2018)

Backprop Evolution. - Maximilian Alber; Irwan Bello; Barret Zoph; Pieter-Jan Kindermans; Prajit Ramachandran; Quoc V. Le (CoRR, 2018)

Diversity and Depth in Per-Example Routing Models. - Prajit Ramachandran; Quoc V. Le (ICLR (Poster), 2019)

Stand-Alone Self-Attention in Vision Models. - Niki Parmar; Prajit Ramachandran; Ashish Vaswani; Irwan Bello; Anselm Levskaya; Jonathon Shlens (NeurIPS, 2019)

Revisiting Spatial Invariance with Low-Rank Local Connectivity. - Gamaleldin F. Elsayed; Prajit Ramachandran; Jonathon Shlens; Simon Kornblith (ICML, 2020)

Revisiting Fundamentals of Experience Replay. - William Fedus; Prajit Ramachandran; Rishabh Agarwal; Yoshua Bengio; Hugo Larochelle; Mark Rowland 001; Will Dabney (ICML, 2020)

Scaling Local Self-Attention for Parameter Efficient Visual Backbones. - Ashish Vaswani; Prajit Ramachandran; Aravind Srinivas; Niki Parmar; Blake A. Hechtman; Jonathon Shlens (CVPR, 2021)