Nitish Srivastava | DeepAI

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Featured Co-authors

Jian Zhang
226 publications
Ruslan Salakhutdinov
194 publications
Yue Wu
122 publications
Graham W Taylor
68 publications
Ilya Sutskever
53 publications
Yao-Hung Hubert Tsai
31 publications
Chen Huang
30 publications
Shuangfei Zhai
28 publications
Josh Susskind
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Elman Mansimov
18 publications
Geoffrey E. Hinton
18 publications

∙ 01/28/2022

Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation

Learning generalizeable policies from visual input in the presence of vi...

0 Martin Bertran, et al. ∙

∙ 12/02/2021

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

Modeling the world can benefit robot learning by providing a rich traini...

10 Nitish Srivastava, et al. ∙

∙ 05/28/2021

An Attention Free Transformer

We introduce Attention Free Transformer (AFT), an efficient variant of T...

37 Shuangfei Zhai, et al. ∙

∙ 05/17/2021

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Offline Reinforcement Learning promises to learn effective policies from...

18 Yue Wu, et al. ∙

∙ 04/01/2021

Unconstrained Scene Generation with Locally Conditioned Radiance Fields

We tackle the challenge of learning a distribution over complex, realist...

0 Terrance DeVries, et al. ∙

∙ 06/27/2020

On the generalization of learning-based 3D reconstruction

State-of-the-art learning-based monocular 3D reconstruction methods lear...

0 Miguel Angel Bautista, et al. ∙

∙ 02/12/2020

Capsules with Inverted Dot-Product Attention Routing

We introduce a new routing algorithm for capsule networks, in which a ch...

5 Yao-Hung Hubert Tsai, et al. ∙

∙ 12/06/2019

Geometric Capsule Autoencoders for 3D Point Clouds

We propose a method to learn object representations from 3D point clouds...

21 Nitish Srivastava, et al. ∙

∙ 03/25/2015

Initialization Strategies of Spatio-Temporal Convolutional Neural Networks

We propose a new way of incorporating temporal information present in vi...

0 Elman Mansimov, et al. ∙

∙ 03/13/2015

Exploiting Image-trained CNN Architectures for Unconstrained Video Classification

We conduct an in-depth exploration of different strategies for doing eve...

0 Shengxin Zha, et al. ∙

∙ 02/16/2015

Unsupervised Learning of Video Representations using LSTMs

We use multilayer Long Short Term Memory (LSTM) networks to learn repres...

0 Nitish Srivastava, et al. ∙

∙ 12/20/2013

Learning Generative Models with Visual Attention

Attention has long been proposed by psychologists as important for effec...

0 Yichuan Tang, et al. ∙

∙ 09/26/2013

Modeling Documents with Deep Boltzmann Machines

We introduce a Deep Boltzmann Machine model suitable for modeling and ex...

0 Nitish Srivastava, et al. ∙

∙ 07/03/2012

Improving neural networks by preventing co-adaptation of feature detectors

When a large feedforward neural network is trained on a small training s...

0 Geoffrey E. Hinton, et al. ∙

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