Nitish Srivastava

According to our database, Nitish Srivastava authored at least 19 papers between 2010 and 2022.

Collaborative distances:

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

2022

Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation.

Martin Bertran Lopez, Walter Talbott, Nitish Srivastava, Joshua M. Susskind

CoRR, 2022

2021

Robust Robotic Control from Pixels using Contrastive Recurrent State-Space Models.

Nitish Srivastava, Walter Talbott, Martin Bertran Lopez, Shuangfei Zhai, Josh M. Susskind

CoRR, 2021

An Attention Free Transformer.

Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind

CoRR, 2021

On the generalization of learning-based 3D reconstruction.

Miguel Ángel Bautista, Walter Talbott, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning.

Yue Wu, Shuangfei Zhai, Nitish Srivastava, Joshua M. Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh

Proceedings of the 38th International Conference on Machine Learning, 2021

Unconstrained Scene Generation with Locally Conditioned Radiance Fields.

Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Capsules with Inverted Dot-Product Attention Routing.

Yao-Hung Hubert Tsai, Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Geometric Capsule Autoencoders for 3D Point Clouds.

Nitish Srivastava, Hanlin Goh, Ruslan Salakhutdinov

CoRR, 2019

2017

Deep Learning Models for Unsupervised and Transfer Learning.

Nitish Srivastava

PhD thesis, 2017

2015

Initialization Strategies of Spatio-Temporal Convolutional Neural Networks.

Elman Mansimov, Nitish Srivastava, Ruslan Salakhutdinov

CoRR, 2015

Unsupervised Learning of Video Representations using LSTMs.

Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov

Proceedings of the 32nd International Conference on Machine Learning, 2015

Exploiting Image-trained CNN Architectures for Unconstrained Video Classification.

Shengxin Zha, Florian Luisier, Walter Andrews, Nitish Srivastava, Ruslan Salakhutdinov

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Multimodal learning with deep Boltzmann machines.

Nitish Srivastava, Ruslan Salakhutdinov

J. Mach. Learn. Res., 2014

Dropout: a simple way to prevent neural networks from overfitting.

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov

J. Mach. Learn. Res., 2014

Learning Generative Models with Visual Attention.

Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Modeling Documents with Deep Boltzmann Machines.

Nitish Srivastava, Ruslan Salakhutdinov, Geoffrey E. Hinton

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Discriminative Transfer Learning with Tree-based Priors.

Nitish Srivastava, Ruslan Salakhutdinov

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Improving neural networks by preventing co-adaptation of feature detectors

Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov

CoRR, 2012

2010

Enriching textbooks through data mining.

Rakesh Agrawal, Sreenivas Gollapudi, Krishnaram Kenthapadi, Nitish Srivastava, Raja Velu

Proceedings of the First ACM Annual Symposium on Computing for Development, 2010