Shagun Sodhani

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Multi-Task Reinforcement Learning with Context-based Representations

The benefit of multi-task learning over single-task learning relies on t...
02/11/2021 ∙ by Shagun Sodhani, et al. ∙ 18 ∙ share

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IIRC: Incremental Implicitly-Refined Classification

We introduce the "Incremental Implicitly-Refined Classi-fication (IIRC)"...
12/23/2020 ∙ by Mohamed Abdelsalam, et al. ∙ 7 ∙ share

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A Closer Look at Codistillation for Distributed Training

Codistillation has been proposed as a mechanism to share knowledge among...
10/06/2020 ∙ by Shagun Sodhani, et al. ∙ 0 ∙ share

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Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop

This report documents ideas for improving the field of machine learning,...
07/21/2020 ∙ by Shagun Sodhani, et al. ∙ 44 ∙ share

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Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP

Multi-task reinforcement learning is a rich paradigm where information f...
07/14/2020 ∙ by Amy Zhang, et al. ∙ 16 ∙ share

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Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

With the recent wave of progress in artificial intelligence (AI) has com...
04/15/2020 ∙ by Miles Brundage, et al. ∙ 0 ∙ share

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Evaluating Logical Generalization in Graph Neural Networks

Recent research has highlighted the role of relational inductive biases ...
03/14/2020 ∙ by Koustuv Sinha, et al. ∙ 9 ∙ share

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Invariant Causal Prediction for Block MDPs

Generalization across environments is critical to the successful applica...
03/12/2020 ∙ by Amy Zhang, et al. ∙ 2 ∙ share

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Recurrent Independent Mechanisms

Learning modular structures which reflect the dynamics of the environmen...
09/24/2019 ∙ by Anirudh Goyal, et al. ∙ 35 ∙ share

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CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

The recent success of natural language understanding (NLU) systems has b...
08/16/2019 ∙ by Koustuv Sinha, et al. ∙ 1 ∙ share

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Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives

Reinforcement learning agents that operate in diverse and complex enviro...
06/25/2019 ∙ by Anirudh Goyal, et al. ∙ 4 ∙ share

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Learning Powerful Policies by Using Consistent Dynamics Model

Model-based Reinforcement Learning approaches have the promise of being ...
06/11/2019 ∙ by Shagun Sodhani, et al. ∙ 10 ∙ share

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Environments for Lifelong Reinforcement Learning

To achieve general artificial intelligence, reinforcement learning (RL) ...
11/26/2018 ∙ by Khimya Khetarpal, et al. ∙ 0 ∙ share

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On Training Recurrent Neural Networks for Lifelong Learning

Capacity saturation and catastrophic forgetting are the central challeng...
11/16/2018 ∙ by Shagun Sodhani, et al. ∙ 0 ∙ share

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Compositional Language Understanding with Text-based Relational Reasoning

Neural networks for natural language reasoning have largely focused on e...
11/07/2018 ∙ by Koustuv Sinha, et al. ∙ 0 ∙ share

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Spatial Co-location Pattern Mining - A new perspective using Graph Database

Spatial co-location pattern mining refers to the task of discovering the...
10/21/2018 ∙ by Sanket Vaibhav Mehta, et al. ∙ 0 ∙ share

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Memory Augmented Self-Play

Self-play is an unsupervised training procedure which enables the reinfo...
05/28/2018 ∙ by Shagun Sodhani, et al. ∙ 0 ∙ share

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Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering"

This is the reproducibility report for the paper "Learning To Count Obje...
05/21/2018 ∙ by Shagun Sodhani, et al. ∙ 0 ∙ share

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Survey of Recent Advances in Visual Question Answering

Visual Question Answering (VQA) presents a unique challenge as it requir...
09/24/2017 ∙ by Supriya Pandhre, et al. ∙ 0 ∙ share

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Reinforcement Learning Based Conversational Search Assistant

In this work, we develop an end-to-end Reinforcement Learning based arch...
09/17/2017 ∙ by Milan Aggarwal, et al. ∙ 0 ∙ share

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Stack Exchange Tagger

The goal of our project is to develop an accurate tagger for questions p...
12/13/2015 ∙ by Sanket Mehta, et al. ∙ 0 ∙ share

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Shagun Sodhani

Featured Co-authors

Yoshua Bengio

Sergey Levine

Bernhard Schölkopf

Joelle Pineau

Doina Precup

Jian Tang

Yarin Gal

Adrian Weller

Anirudh Goyal

William L. Hamilton

Sarath Chandar

Multi-Task Reinforcement Learning with Context-based Representations

IIRC: Incremental Implicitly-Refined Classification

A Closer Look at Codistillation for Distributed Training

Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop

Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Evaluating Logical Generalization in Graph Neural Networks

Invariant Causal Prediction for Block MDPs

Recurrent Independent Mechanisms

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives

Learning Powerful Policies by Using Consistent Dynamics Model

Environments for Lifelong Reinforcement Learning

On Training Recurrent Neural Networks for Lifelong Learning

Compositional Language Understanding with Text-based Relational Reasoning

Spatial Co-location Pattern Mining - A new perspective using Graph Database

Memory Augmented Self-Play

Reproducibility Report for "Learning To Count Objects In Natural Images For Visual Question Answering"

Survey of Recent Advances in Visual Question Answering

Reinforcement Learning Based Conversational Search Assistant

Stack Exchange Tagger