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2020 – today
- 2022
[i14]Martin Bertran Lopez, Walter Talbott, Nitish Srivastava, Joshua M. Susskind:
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation. CoRR abs/2201.12300 (2022)- 2021
- [c11]Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind:
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. ICCV 2021: 14284-14293 - [c10]Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh:
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. ICML 2021: 11319-11328 - [c9]Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind:
On the generalization of learning-based 3D reconstruction. WACV 2021: 2179-2188 - [i13]Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind:
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. CoRR abs/2104.00670 (2021) - [i12]Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh:
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. CoRR abs/2105.08140 (2021) - [i11]Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind:
An Attention Free Transformer. CoRR abs/2105.14103 (2021) - [i10]Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind:
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR abs/2112.01163 (2021) - 2020
- [c8]Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Capsules with Inverted Dot-Product Attention Routing. ICLR 2020 - [i9]Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Capsules with Inverted Dot-Product Attention Routing. CoRR abs/2002.04764 (2020) - [i8]Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind:
On the generalization of learning-based 3D reconstruction. CoRR abs/2006.15427 (2020)
2010 – 2019
- 2019
- [i7]Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov:
Geometric Capsule Autoencoders for 3D Point Clouds. CoRR abs/1912.03310 (2019) - 2017
- [b1]Nitish Srivastava:
Deep Learning Models for Unsupervised and Transfer Learning. University of Toronto, Canada, 2017 - 2015
- [c7]Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov:
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. BMVC 2015: 60.1-60.13 - [c6]Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov:
Unsupervised Learning of Video Representations using LSTMs. ICML 2015: 843-852 - [i6]Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov:
Unsupervised Learning of Video Representations using LSTMs. CoRR abs/1502.04681 (2015) - [i5]Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov:
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. CoRR abs/1503.04144 (2015) - [i4]Elman Mansimov, Nitish Srivastava, Ruslan Salakhutdinov:
Initialization Strategies of Spatio-Temporal Convolutional Neural Networks. CoRR abs/1503.07274 (2015) - 2014
- [j2]Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov:
Dropout: a simple way to prevent neural networks from overfitting. J. Mach. Learn. Res. 15(1): 1929-1958 (2014) - [j1]Nitish Srivastava, Ruslan Salakhutdinov:
Multimodal learning with deep Boltzmann machines. J. Mach. Learn. Res. 15(1): 2949-2980 (2014) - [c5]Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov:
Learning Generative Models with Visual Attention. NIPS 2014: 1808-1816 - 2013
- [c4]Nitish Srivastava, Ruslan Salakhutdinov:
Discriminative Transfer Learning with Tree-based Priors. NIPS 2013: 2094-2102 - [c3]Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton:
Modeling Documents with Deep Boltzmann Machines. UAI 2013 - [i3]Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton:
Modeling Documents with Deep Boltzmann Machines. CoRR abs/1309.6865 (2013) - [i2]Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov:
Learning generative models with visual attention. CoRR abs/1312.6110 (2013) - 2012
- [c2]Nitish Srivastava, Ruslan Salakhutdinov:
Multimodal Learning with Deep Boltzmann Machines. NIPS 2012: 2231-2239 - [i1]Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov:
Improving neural networks by preventing co-adaptation of feature detectors. CoRR abs/1207.0580 (2012) - 2010
- [c1]Rakesh Agrawal, Sreenivas Gollapudi, Krishnaram Kenthapadi, Nitish Srivastava, Raja Velu:
Enriching textbooks through data mining. ACM DEV 2010: 19
Coauthor Index
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