Seuraa
Aravind Srinivas
Aravind Srinivas
Startup
Vahvistettu sähköpostiosoite verkkotunnuksessa berkeley.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Data-Efficient Image Recognition with Contrastive Predictive Coding
OJ Hénaff, A Srinivas, J De Fauw, A Razavi, C Doersch, SMA Eslami, ...
International Conference on Machine Learning, 2020, 2019
9352019
Curl: Contrastive unsupervised representations for reinforcement learning
A Srinivas, M Laskin, P Abbeel
International Conference on Machine Learning, 2020, 2020
5382020
Bottleneck transformers for visual recognition
A Srinivas, TY Lin, N Parmar, J Shlens, P Abbeel, A Vaswani
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
4452021
Simple copy-paste is a strong data augmentation method for instance segmentation
G Ghiasi*, Y Cui*, A Srinivas*, R Qian, TY Lin, ED Cubuk, QV Le, B Zoph
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
3402021
Reinforcement Learning with Augmented Data
M Laskin, K Lee, A Stooke, L Pinto, P Abbeel, A Srinivas
Advances in Neural Information Processing Systems 2020, 2020
3192020
Flow++: Improving flow-based generative models with variational dequantization and architecture design
J Ho, X Chen, A Srinivas, Y Duan, P Abbeel
International Conference on Machine Learning, 2019, 2019
2882019
Decision transformer: Reinforcement learning via sequence modeling
L Chen, K Lu, A Rajeswaran, K Lee, A Grover, M Laskin, P Abbeel, ...
Advances in Neural Information Processing Systems 2021, 2021
2562021
Universal planning networks: Learning generalizable representations for visuomotor control
A Srinivas, A Jabri, P Abbeel, S Levine, C Finn
International Conference on Machine Learning, 2018, 2018
2442018
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
1672021
Revisiting resnets: Improved training and scaling strategies
I Bello, W Fedus, X Du, ED Cubuk, A Srinivas, TY Lin, J Shlens, B Zoph
Advances in Neural Information Processing Systems 2021, 2021
1322021
Sunrise: A simple unified framework for ensemble learning in deep reinforcement learning
K Lee, M Laskin, A Srinivas, P Abbeel
International Conference on Machine Learning, 6131-6141, 2021
872021
Learning to repeat: Fine grained action repetition for deep reinforcement learning
S Sharma, A Srinivas, B Ravindran
arXiv preprint arXiv:1702.06054, 2017
762017
Videogpt: Video generation using vq-vae and transformers
W Yan, Y Zhang, P Abbeel, A Srinivas
arXiv preprint arXiv:2104.10157, 2021
712021
Dynamic action repetition for deep reinforcement learning
A Srinivas, S Sharma, B Ravindran
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
67*2017
Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain
A Srinivas, J Rajendran, MM Khapra, P P, B Ravindran
International Conference on Learning Representations, 2017, 2017
55*2017
Making the most of our regrets: Regret-based solutions to handle payoff uncertainty and elicitation in green security games
TH Nguyen, FM Delle Fave, D Kar, A Srinivas, A Yadav, M Tambe, ...
International Conference on Decision and Game Theory for Security, 170-191, 2015
462015
Option Discovery in Hierarchical Reinforcement Learning using Spatio-Temporal Clustering
A Srinivas, R Krishnamurthy, P Kumar, B Ravindran
arXiv preprint arXiv:1605.05359, 2016
402016
Selfaugment: Automatic augmentation policies for self-supervised learning
CJ Reed, S Metzger, A Srinivas, T Darrell, K Keutzer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
27*2021
Reinforcement learning with few expert demonstrations
A Srinivas, S Ozair, Y Bengio
NIPS Workshop on Deep Learning for Action and Interaction 2016, 2016
25*2016
D2rl: Deep dense architectures in reinforcement learning
S Sinha, H Bharadhwaj, A Srinivas, A Garg
arXiv preprint arXiv:2010.09163, 2020
242020
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Artikkelit 1–20