Search Results for author: Ameet Deshpande

Found 9 papers, 2 papers with code

Sentiment Analysis for Reinforcement Learning

no code implementations5 Oct 2020 Ameet Deshpande, Eve Fleisig

Furthermore, this can enable reinforcement learning without rewards, in which the agent learns entirely from these intrinsic sentiment rewards.

Dialogue Generation Sentiment Analysis +1

Evaluating a Generative Adversarial Framework for Information Retrieval

no code implementations1 Oct 2020 Ameet Deshpande, Mitesh M. Khapra

Recent advances in Generative Adversarial Networks (GANs) have resulted in its widespread applications to multiple domains.

Information Retrieval

CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes

1 code implementation19 Sep 2020 Raeid Saqur, Ameet Deshpande

The CLEVR dataset has been used extensively in language grounded visual reasoning in Machine Learning (ML) and Natural Language Processing (NLP) domains.

Visual Reasoning

Dissecting an Adversarial framework for Information Retrieval

no code implementations ICLR 2019 Ameet Deshpande, Mitesh M. Khapra

Recent advances in Generative Adversarial Networks facilitated by improvements to the framework and successful application to various problems has resulted in extensions to multiple domains.

Information Retrieval

Discovering hierarchies using Imitation Learning from hierarchy aware policies

no code implementations1 Dec 2018 Ameet Deshpande, Harshavardhan Kamarthi, Balaraman Ravindran

Learning options that allow agents to exhibit temporally higher order behavior has proven to be useful in increasing exploration, reducing sample complexity and for various transfer scenarios.

Imitation Learning

Improvements on Hindsight Learning

no code implementations16 Sep 2018 Ameet Deshpande, Srikanth Sarma, Ashutosh Jha, Balaraman Ravindran

One such approach is Hindsight Experience replay which uses an off-policy Reinforcement Learning algorithm to learn a goal conditioned policy.

Policy Gradient Methods

Weight Initialization in Neural Language Models

no code implementations12 May 2018 Ameet Deshpande, Vedant Somani

Ontological methods are good at encoding Semantic Similarity and Vector Space models are better at encoding Semantic Relatedness.

Semantic Similarity Semantic Textual Similarity

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