Nitish Srivastava

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 12

Top Topics

Semantic Similarity

Boltzmann Machines

Convolutional Neural Networks

Unsupervised Learning

Top Venues

J. Mach. Learn. Res.

Publications

Martin Bertran Lopez, Walter Talbott, Nitish Srivastava, Joshua M. Susskind
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation. CoRR (2022)
Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
On the generalization of learning-based 3D reconstruction. WACV (2021)
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
An Attention Free Transformer. CoRR (2021)
Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. ICCV (2021)
Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning. CoRR (2021)
Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind
Unconstrained Scene Generation with Locally Conditioned Radiance Fields. CoRR (2021)
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)
Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind
Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models. CoRR (2021)
Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
Capsules with Inverted Dot-Product Attention Routing. CoRR (2020)
Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
Capsules with Inverted Dot-Product Attention Routing. ICLR (2020)
Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind
On the generalization of learning-based 3D reconstruction. CoRR (2020)
Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov
Geometric Capsule Autoencoders for 3D Point Clouds. CoRR (2019)
Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. CoRR (2015)
Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification. BMVC (2015)
Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
Unsupervised Learning of Video Representations using LSTMs. ICML (2015)
Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
Unsupervised Learning of Video Representations using LSTMs. CoRR (2015)
Elman Mansimov, Nitish Srivastava, Ruslan Salakhutdinov
Initialization Strategies of Spatio-Temporal Convolutional Neural Networks. CoRR (2015)
Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov
Learning Generative Models with Visual Attention. NIPS (2014)
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) (2014)
Nitish Srivastava, Ruslan Salakhutdinov
Multimodal learning with deep Boltzmann machines. J. Mach. Learn. Res. 15 (1) (2014)
Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton
Modeling Documents with Deep Boltzmann Machines. CoRR (2013)
Nitish Srivastava, Ruslan Salakhutdinov
Discriminative Transfer Learning with Tree-based Priors. NIPS (2013)
Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov
Learning generative models with visual attention. CoRR (2013)
Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton
Modeling Documents with Deep Boltzmann Machines. UAI (2013)
Nitish Srivastava, Ruslan Salakhutdinov
Multimodal Learning with Deep Boltzmann Machines. NIPS (2012)
Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov
Improving neural networks by preventing co-adaptation of feature detectors CoRR (2012)
Rakesh Agrawal, Sreenivas Gollapudi, Krishnaram Kenthapadi, Nitish Srivastava, Raja Velu
Enriching textbooks through data mining. ACM DEV (2010)