most citedEvaluating a Generative Adversarial Framework for Information Retrieval

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Guiding Attention for Self-Supervised Learning with Transformers

Ameet Deshpande, Karthik Narasimhan

In this paper, we propose a simple and effective technique to allow for efficient self-supervised learning with bi-directional Transformers. Our approach is motivated by recent stu…

cs.CL2020

Sentiment Analysis for Reinforcement Learning

Ameet Deshpande, Eve Fleisig

While reinforcement learning (RL) has been successful in natural language processing (NLP) domains such as dialogue generation and text-based games, it typically faces the problem…

cs.LG20201 cited

Evaluating a Generative Adversarial Framework for Information Retrieval

Ameet Deshpande, Mitesh M. Khapra

Recent advances in Generative Adversarial Networks (GANs) have resulted in its widespread applications to multiple domains. A recent model, IRGAN, applies this framework to Informa…

cs.CL2020

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

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. We present a graph parser…

cs.LG2018

Discovering hierarchies using Imitation Learning from hierarchy aware policies

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 transfe…