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ORCIDPrajit Ramachandran
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2020 – today
- 2021
[c9]Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens:
Scaling Local Self-Attention for Parameter Efficient Visual Backbones. CVPR 2021: 12894-12904- [i11]Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens:
Scaling Local Self-Attention for Parameter Efficient Visual Backbones. CoRR abs/2103.12731 (2021) - 2020
- [c8]Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith:
Revisiting Spatial Invariance with Low-Rank Local Connectivity. ICML 2020: 2868-2879 - [c7]William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney:
Revisiting Fundamentals of Experience Replay. ICML 2020: 3061-3071 - [i10]Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith:
Revisiting Spatial Invariance with Low-Rank Local Connectivity. CoRR abs/2002.02959 (2020) - [i9]William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney:
Revisiting Fundamentals of Experience Replay. CoRR abs/2007.06700 (2020)
2010 – 2019
- 2019
- [c6]Prajit Ramachandran, Quoc V. Le:
Diversity and Depth in Per-Example Routing Models. ICLR (Poster) 2019 - [c5]Niki Parmar, Prajit Ramachandran, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens:
Stand-Alone Self-Attention in Vision Models. NeurIPS 2019: 68-80 - [i8]Prajit Ramachandran, Niki Parmar, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens:
Stand-Alone Self-Attention in Vision Models. CoRR abs/1906.05909 (2019) - 2018
- [c4]Prajit Ramachandran, Barret Zoph, Quoc V. Le:
Searching for Activation Functions. ICLR (Workshop) 2018 - [i7]Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc V. Le:
Backprop Evolution. CoRR abs/1808.02822 (2018) - 2017
- [c3]Prajit Ramachandran, Peter J. Liu, Quoc V. Le:
Unsupervised Pretraining for Sequence to Sequence Learning. EMNLP 2017: 383-391 - [c2]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. ICLR (Workshop) 2017 - [c1]Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng:
Stein Variational Policy Gradient. UAI 2017 - [i6]Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng:
Stein Variational Policy Gradient. CoRR abs/1704.02399 (2017) - [i5]Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang:
Fast Generation for Convolutional Autoregressive Models. CoRR abs/1704.06001 (2017) - [i4]Prajit Ramachandran, Barret Zoph, Quoc V. Le:
Searching for Activation Functions. CoRR abs/1710.05941 (2017) - 2016
- [i3]Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang:
Seq-NMS for Video Object Detection. CoRR abs/1602.08465 (2016) - [i2]Prajit Ramachandran, Peter J. Liu, Quoc V. Le:
Unsupervised Pretraining for Sequence to Sequence Learning. CoRR abs/1611.02683 (2016) - [i1]Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang:
Fast Wavenet Generation Algorithm. CoRR abs/1611.09482 (2016)
Coauthor Index
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