Anirudh Goyal

发表

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations pdf

Ioannis Mitliagkas, Sandeep Subramanian, Yoshua Bengio, 2018, ArXiv.

An Actor-Critic Algorithm for Structured Prediction

Joelle Pineau, Yoshua Bengio, Anirudh Goyal, 2016 .

Monocular vision based road marking recognition for driver assistance and safety

C. V. Jawahar, Mohak Sukhwani, Anirudh Goyal, 2014, 2014 IEEE International Conference on Vehicular Electronics and Safety.

State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations pdf

Ioannis Mitliagkas, Sandeep Subramanian, Yoshua Bengio, 2019, ICML.

Learning Neural Causal Models from Unknown Interventions pdf

Yoshua Bengio, Hugo Larochelle, Anirudh Goyal, 2019, ArXiv.

Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future pdf

Yoshua Bengio, Amanpreet Singh, Anirudh Goyal, 2019, ArXiv.

Recurrent Independent Mechanisms pdf

Sergey Levine, Bernhard Schölkopf, Yoshua Bengio, 2019, ICLR.

Learning the Arrow of Time pdf

Yoshua Bengio, Anirudh Goyal, Steffen Wolf, 2019, ArXiv.

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives pdf

Sergey Levine, Yoshua Bengio, Jonathan Binas, 2019, ICLR.

Z-Forcing: Training Stochastic Recurrent Networks

Yoshua Bengio, Anirudh Goyal, Marc-Alexandre Côté, 2017, NIPS.

Modeling the Long Term Future in Model-Based Reinforcement Learning

Yoshua Bengio, Amanpreet Singh, Anirudh Goyal, 2018, ICLR.

Inductive Biases for Deep Learning of Higher-Level Cognition pdf

Yoshua Bengio, Anirudh Goyal, 2020, ArXiv.

InfoBot: Transfer and Exploration via the Information Bottleneck pdf

Sergey Levine, Yoshua Bengio, Hugo Larochelle, 2019, ICLR.

Stories in the Eye: Contextual Visual Interactions for Efficient Video to Language Translation pdf

Marius Leordeanu, Anirudh Goyal, 2015, ArXiv.

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks pdf

Christopher Joseph Pal, Yoshua Bengio, Jonathan Binas, 2017, ArXiv.

InfoBot: Structured Exploration in ReinforcementLearning Using Information Bottleneck

Sergey Levine, Yoshua Bengio, Hugo Larochelle, 2019 .

Learning the Arrow of Time for Problems in Reinforcement Learning

Yoshua Bengio, Anirudh Goyal, Steffen Wolf, 2020, ICLR.

Professor Forcing: A New Algorithm for Training Recurrent Networks

Yoshua Bengio, Aaron C. Courville, Ying Zhang, 2016, NIPS.

Communication Topologies Between Learning Agents in Deep Reinforcement Learning pdf

Alex Pentland, Abhimanyu Dubey, Anirudh Goyal, 2019, ArXiv.

DIBS: Diversity inducing Information Bottleneck in Model Ensembles pdf

Hugo Larochelle, Anirudh Goyal, Animesh Garg, 2020, AAAI.

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations pdf

Yoshua Bengio, Hugo Larochelle, Tegan Maharaj, 2016, ICLR.

Maximum Entropy Generators for Energy-Based Models pdf

Yoshua Bengio, Aaron C. Courville, Anirudh Goyal, 2019, ArXiv.

A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms pdf

Christopher Joseph Pal, Yoshua Bengio, Tristan Deleu, 2019, ICLR.

Learning Powerful Policies by Using Consistent Dynamics Model pdf

Sergey Levine, Yoshua Bengio, Tristan Deleu, 2019, ArXiv.

Extending the Framework of Equilibrium Propagation to General Dynamics

Yoshua Bengio, Jonathan Binas, Anirudh Goyal, 2018, ICLR.

Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net

Surya Ganguli, Yoshua Bengio, Anirudh Goyal, 2017, NIPS.

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding

Christopher Joseph Pal, Yoshua Bengio, Jonathan Binas, 2018, NeurIPS.

ACtuAL: Actor-Critic Under Adversarial Learning pdf

Joelle Pineau, Christopher Joseph Pal, Yoshua Bengio, 2017, ArXiv.

Improved training of generative models

Anirudh Goyal, 2019 .

Small-GAN: Speeding Up GAN Training Using Core-sets pdf

Yoshua Bengio, Hugo Larochelle, Han Zhang, 2019, ICML.

Top-K Training of GANs: Improving Generators by Making Critics Less Critical pdf

Colin Raffel, Anirudh Goyal, Augustus Odena, 2020, ArXiv.

An Actor-Critic Algorithm for Sequence Prediction pdf

Joelle Pineau, Yoshua Bengio, Aaron C. Courville, 2016, ICLR.

The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget pdf

Yoshua Bengio, Sergey Levine, Anirudh Goyal, 2020, ICLR.

Recall Traces: Backtracking Models for Efficient Reinforcement Learning pdf

Sergey Levine, Yoshua Bengio, Hugo Larochelle, 2018, ICLR.

Learning powerful policies and better dynamics models by encouraging consistency

Yoshua Bengio, Tristan Deleu, Anirudh Goyal, 2018 .

Generalization of Equilibrium Propagation to Vector Field Dynamics pdf

Yoshua Bengio, Jonathan Binas, Anirudh Goyal, 2018, ArXiv.

Untangling tradeoffs between recurrence and self-attention in artificial neural networks

Yoshua Bengio, Anirudh Goyal, Giancarlo Kerg, 2020, NeurIPS.

Learning Neural Causal Models with Active Interventions pdf

Anirudh Goyal, Bernhard Scholkopf, Olexa Bilaniuk, 2021, ArXiv.

Fast and Slow Learning of Recurrent Independent Mechanisms pdf

Anirudh Goyal, Kanika Madan, Yoshua Bengio, 2021, ICLR.

Variational Causal Networks: Approximate Bayesian Inference over Causal Structures pdf

Alexandre Lacoste, Anirudh Goyal, Stefan Bauer, 2021, ArXiv.

Recurrent Independent Mechanisms pdf

Bernhard Schölkopf, Sergey Levine, Yoshua Bengio, 2021, ICLR.

Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments

Sergey Levine, Alex Lamb, Anirudh Goyal, 2021, ICLR.

Spatially Structured Recurrent Modules

Bernhard Schölkopf, Anirudh Goyal, Muhammad Waleed Gondal, 2021, ICLR.

Towards Causal Representation Learning

Yoshua Bengio, Francesco Locatello, Anirudh Goyal, 2021, ArXiv.

On Disentangled Representations Learned from Correlated Data

Francesco Locatello, Anirudh Goyal, Bernhard Scholkopf, 2020, International Conference on Machine Learning.