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Prajit Ramachandran
Prajit Ramachandran
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Title
Cited by
Cited by
Year
Searching for activation functions
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941, 2017
2745*2017
Stand-alone self-attention in vision models
P Ramachandran, N Parmar, A Vaswani, I Bello, A Levskaya, J Shlens
Advances in Neural Information Processing Systems 32, 2019
6712019
Seq-nms for video object detection
W Han, P Khorrami, TL Paine, P Ramachandran, M Babaeizadeh, H Shi, ...
arXiv preprint arXiv:1602.08465, 2016
2852016
Unsupervised pretraining for sequence to sequence learning
P Ramachandran, PJ Liu, QV Le
arXiv preprint arXiv:1611.02683, 2016
2742016
Scaling local self-attention for parameter efficient visual backbones
A Vaswani, P Ramachandran, A Srinivas, N Parmar, B Hechtman, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1692021
Fast generation for convolutional autoregressive models
P Ramachandran, TL Paine, P Khorrami, M Babaeizadeh, S Chang, ...
arXiv preprint arXiv:1704.06001, 2017
128*2017
Stein variational policy gradient
Y Liu, P Ramachandran, Q Liu, J Peng
arXiv preprint arXiv:1704.02399, 2017
1272017
Stand-alone self-attention in vision models
N Parmar, P Ramachandran, A Vaswani, I Bello, A Levskaya, J Shlens
1162019
Revisiting fundamentals of experience replay
W Fedus, P Ramachandran, R Agarwal, Y Bengio, H Larochelle, ...
International Conference on Machine Learning, 3061-3071, 2020
1092020
Searching for activation functions. arXiv
P Ramachandran, B Zoph, QV Le
arXiv preprint arXiv:1710.05941 5, 2017
452017
Fast wavenet generation algorithm
T Le Paine, P Khorrami, S Chang, Y Zhang, P Ramachandran, ...
arXiv preprint arXiv:1611.09482 2, 2016
362016
Diversity and depth in per-example routing models
P Ramachandran, QV Le
International Conference on Learning Representations, 2018
282018
Revisiting spatial invariance with low-rank local connectivity
G Elsayed, P Ramachandran, J Shlens, S Kornblith
International Conference on Machine Learning, 2868-2879, 2020
242020
Backprop evolution
M Alber, I Bello, B Zoph, PJ Kindermans, P Ramachandran, Q Le
arXiv preprint arXiv:1808.02822, 2018
122018
Object Detection in Video using Faster R-CNN
P Ramachandran
ICCV Workshop, India, 2015
32015
Fully attentional computer vision
J Shlens, AT Vaswani, NJ Parmar, P Ramachandran, AC Levskaya, ...
US Patent App. 17/606,976, 2022
2022
Local self-attention computer vision neural networks
AT Vaswani, P Ramachandran, AS Lakshminarayanan, BA Hechtman, ...
US Patent App. 17/347,416, 2021
2021
Neural Network Layers with a Controlled Degree of Spatial Invariance
G Elsayed, P Ramachandran, J Shlens, S Kornblith
US Patent App. 17/121,161, 2021
2021
TC-CNN: A Tree Classified model using AI for identifying malware intrusions in open Networks
P Ramachandran, R Balasubramanian
PSYCHOLOGY AND EDUCATION 58 (2), 6561-6573, 2021
2021
Revisiting Fundamentals of Experience Replay
H Larochelle, LB Fedus, M Rowland, P Ramachandran, R Agarwal, ...
2020
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