b'Mausam'

OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction

A recent state-of-the-art neural open information extraction (OpenIE) sy...
10/07/2020 ∙ by Keshav Kolluru, et al. ∙ 0 ∙ share

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Joint Spatio-Textual Reasoning for Answering Tourism Questions

Our goal is to answer real-world tourism questions that seek Points-of-I...
09/28/2020 ∙ by Danish Contractor, et al. ∙ 0 ∙ share

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Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces

Recent research has proposed neural architectures for solving combinator...
08/27/2020 ∙ by Yatin Nandwani, et al. ∙ 19 ∙ share

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ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis

A robot working in a physical environment (like home or factory) needs t...
06/09/2020 ∙ by Rajas Bansal, et al. ∙ 0 ∙ share

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IMoJIE: Iterative Memory-Based Joint Open Information Extraction

While traditional systems for Open Information Extraction were statistic...
05/17/2020 ∙ by Keshav Kolluru, et al. ∙ 0 ∙ share

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Knowledge Base Completion: Baseline strikes back (Again)

Knowledge Base Completion has been a very active area recently, where mu...
05/02/2020 ∙ by Prachi Jain, et al. ∙ 0 ∙ share

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Knowledge Base Inference for Regular Expression Queries

Two common types of tasks on Knowledge Bases have been studied – single ...
05/01/2020 ∙ by Vaibhav Adlakha, et al. ∙ 0 ∙ share

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Why and when should you pool? Analyzing Pooling in Recurrent Architectures

Pooling-based recurrent neural architectures consistently outperform the...
05/01/2020 ∙ by Pratyush Maini, et al. ∙ 0 ∙ share

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Unsupervised Learning of KB Queries in Task Oriented Dialogs

Task-oriented dialog (TOD) systems converse with users to accomplish a s...
04/30/2020 ∙ by Dinesh Raghu, et al. ∙ 0 ∙ share

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A Simple Yet Strong Pipeline for HotpotQA

State-of-the-art models for multi-hop question answering typically augme...
04/14/2020 ∙ by Dirk Groeneveld, et al. ∙ 0 ∙ share

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Generalized Neural Policies for Relational MDPs

A Relational Markov Decision Process (RMDP) is a first-order representat...
02/18/2020 ∙ by Sankalp Garg, et al. ∙ 0 ∙ share

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Large Scale Question Answering using Tourism Data

Real world question answering can be significantly more complex than wha...
09/08/2019 ∙ by Danish Contractor, et al. ∙ 0 ∙ share

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Size Independent Neural Transfer for RDDL Planning

Neural planners for RDDL MDPs produce deep reactive policies in an offli...
02/08/2019 ∙ by Sankalp Garg, et al. ∙ 0 ∙ share

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Transfer of Deep Reactive Policies for MDP Planning

Domain-independent probabilistic planners input an MDP description in a ...
10/26/2018 ∙ by Aniket Bajpai, et al. ∙ 0 ∙ share

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Block-Value Symmetries in Probabilistic Graphical Models

Several lifted inference algorithms for probabilistic graphical models f...
07/02/2018 ∙ by Gagan Madan, et al. ∙ 0 ∙ share

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Hierarchical Pointer Memory Network for Task Oriented Dialogue

We observe that end-to-end memory networks (MN) trained for task-oriente...
05/03/2018 ∙ by Dinesh Raghu, et al. ∙ 0 ∙ share

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Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models

Lifted inference algorithms commonly exploit symmetries in a probabilist...
07/27/2017 ∙ by Ankit Anand, et al. ∙ 0 ∙ share

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Coarse-to-Fine Lifted MAP Inference in Computer Vision

There is a vast body of theoretical research on lifted inference in prob...
07/22/2017 ∙ by Haroun Habeeb, et al. ∙ 0 ∙ share

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Joint Matrix-Tensor Factorization for Knowledge Base Inference

While several matrix factorization (MF) and tensor factorization (TF) mo...
06/02/2017 ∙ by Prachi Jain, et al. ∙ 0 ∙ share

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Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing

We present Octopus, an AI agent to jointly balance three conflicting tas...
02/12/2017 ∙ by Karan Goel, et al. ∙ 0 ∙ share

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Contextual Symmetries in Probabilistic Graphical Models

An important approach for efficient inference in probabilistic graphical...
06/30/2016 ∙ by Ankit Anand, et al. ∙ 0 ∙ share

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Topological Value Iteration Algorithms

Value iteration is a powerful yet inefficient algorithm for Markov decis...
01/16/2014 ∙ by Peng Dai, et al. ∙ 0 ∙ share

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A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains

We consider the problem of optimal planning in stochastic domains with r...
01/15/2014 ∙ by Nicolas Meuleau, et al. ∙ 0 ∙ share

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A Theory of Goal-Oriented MDPs with Dead Ends

Stochastic Shortest Path (SSP) MDPs is a problem class widely studied in...
10/16/2012 ∙ by Andrey Kolobov, et al. ∙ 0 ∙ share

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Crowdsourcing Control: Moving Beyond Multiple Choice

To ensure quality results from crowdsourced tasks, requesters often aggr...
10/16/2012 ∙ by Christopher H. Lin, et al. ∙ 0 ∙ share

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Mausam

Featured Co-authors

Ashish Sabharwal

Tushar Khot

Aditya Grover

Soumen Chakrabarti

Parag Singla

Ronen I. Brafman

Srikanta Bedathur

Shreshth Tuli

Judy Goldsmith

Eric A. Hansen

Shikhar Murty

OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction

Joint Spatio-Textual Reasoning for Answering Tourism Questions

Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces

ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis

IMoJIE: Iterative Memory-Based Joint Open Information Extraction

Knowledge Base Completion: Baseline strikes back (Again)

Knowledge Base Inference for Regular Expression Queries

Why and when should you pool? Analyzing Pooling in Recurrent Architectures

Unsupervised Learning of KB Queries in Task Oriented Dialogs

A Simple Yet Strong Pipeline for HotpotQA

Generalized Neural Policies for Relational MDPs

Large Scale Question Answering using Tourism Data

Size Independent Neural Transfer for RDDL Planning

Transfer of Deep Reactive Policies for MDP Planning

Block-Value Symmetries in Probabilistic Graphical Models

Hierarchical Pointer Memory Network for Task Oriented Dialogue

Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models

Coarse-to-Fine Lifted MAP Inference in Computer Vision

Joint Matrix-Tensor Factorization for Knowledge Base Inference

Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing

Contextual Symmetries in Probabilistic Graphical Models

Topological Value Iteration Algorithms

A Heuristic Search Approach to Planning with Continuous Resources in Stochastic Domains

A Theory of Goal-Oriented MDPs with Dead Ends

Crowdsourcing Control: Moving Beyond Multiple Choice