Prajit Ramachandran

According to our database, Prajit Ramachandran authored at least 12 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Scaling Local Self-Attention for Parameter Efficient Visual Backbones.

Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Revisiting Fundamentals of Experience Replay.

William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney

Proceedings of the 37th International Conference on Machine Learning, 2020

Revisiting Spatial Invariance with Low-Rank Local Connectivity.

Gamaleldin F. Elsayed, Prajit Ramachandran, Jonathon Shlens, Simon Kornblith

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Stand-Alone Self-Attention in Vision Models.

Niki Parmar, Prajit Ramachandran, Ashish Vaswani, Irwan Bello, Anselm Levskaya, Jonathon Shlens

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Diversity and Depth in Per-Example Routing Models.

Prajit Ramachandran, Quoc V. Le

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Backprop Evolution.

Maximilian Alber, Irwan Bello, Barret Zoph, Pieter-Jan Kindermans, Prajit Ramachandran, Quoc V. Le

CoRR, 2018

Searching for Activation Functions.

Prajit Ramachandran, Barret Zoph, Quoc V. Le

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Stein Variational Policy Gradient.

Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Fast Generation for Convolutional Autoregressive Models.

Prajit Ramachandran, Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A. Hasegawa-Johnson, Roy H. Campbell, Thomas S. Huang

Proceedings of the 5th International Conference on Learning Representations, 2017

Unsupervised Pretraining for Sequence to Sequence Learning.

Prajit Ramachandran, Peter J. Liu, Quoc V. Le

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Fast Wavenet Generation Algorithm.

Tom Le Paine, Pooya Khorrami, Shiyu Chang, Yang Zhang, Prajit Ramachandran, Mark A. Hasegawa-Johnson, Thomas S. Huang

CoRR, 2016

Seq-NMS for Video Object Detection.

Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang

CoRR, 2016