Parag Singla | DeepAI

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∙ 05/23/2023

Image Manipulation via Multi-Hop Instructions – A New Dataset and Weakly-Supervised Neuro-Symbolic Approach

We are interested in image manipulation via natural language text – a ta...

0 Harman Singh, et al. ∙

∙ 11/12/2022

Learning Neuro-symbolic Programs for Language Guided Robot Manipulation

Given a natural language instruction, and an input and an output scene, ...

3 Namasivayam Kalithasan, et al. ∙

∙ 10/17/2022

A Solver-Free Framework for Scalable Learning in Neural ILP Architectures

There is a recent focus on designing architectures that have an Integer ...

1 Yatin Nandwani, et al. ∙

∙ 02/07/2022

Neural Models for Output-Space Invariance in Combinatorial Problems

Recently many neural models have been proposed to solve combinatorial pu...

15 Yatin Nandwani, et al. ∙

∙ 10/14/2021

A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction

Distantly supervised relation extraction (DS-RE) is generally framed as ...

0 Vipul Rathore, et al. ∙

∙ 07/16/2021

Towards an Interpretable Latent Space in Structured Models for Video Prediction

We focus on the task of future frame prediction in video governed by und...

8 Rushil Gupta, et al. ∙

∙ 07/16/2021

ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data

Clustering single-cell RNA sequence (scRNA-seq) data poses statistical a...

27 Arnab Kumar Mondal, et al. ∙

∙ 04/18/2021

CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion

Pre-trained language models (LMs) like BERT have shown to store factual ...

12 Keshav Kolluru, et al. ∙

∙ 09/28/2020

Joint Spatio-Textual Reasoning for Answering Tourism Questions

Our goal is to answer real-world tourism questions that seek Points-of-I...

0 Danish Contractor, et al. ∙

∙ 08/27/2020

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

Recent research has proposed neural architectures for solving combinator...

19 Yatin Nandwani, et al. ∙

∙ 06/10/2020

To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs

Regularized Auto-Encoders (AE) form a rich class of methods within the l...

0 Arnab Kumar Mondal, et al. ∙

∙ 12/10/2019

Towards Latent Space Optimality for Auto-Encoder Based Generative Models

The field of neural generative models is dominated by the highly success...

0 Arnab Kumar Mondal, et al. ∙

∙ 09/08/2019

Large Scale Question Answering using Tourism Data

Real world question answering can be significantly more complex than wha...

0 Danish Contractor, et al. ∙

∙ 08/02/2019

CVC4-SymBreak: Derived SMT solver at SMT Competition 2019

We present CVC4-SymBreak, a derived SMT solver based on CVC4, and a non-...

0 Saket Dingliwal, et al. ∙

∙ 11/24/2018

Exploiting Test Time Evidence to Improve Predictions of Deep Neural Networks

Many prediction tasks, especially in computer vision, are often inherent...

0 Dinesh Khandelwal, et al. ∙

∙ 07/03/2018

Domain Aware Markov Logic Networks

Combining logic and probability has been a long standing goal of AI. Mar...

0 Happy Mittal, et al. ∙

∙ 07/02/2018

Block-Value Symmetries in Probabilistic Graphical Models

Several lifted inference algorithms for probabilistic graphical models f...

0 Gagan Madan, et al. ∙

∙ 07/02/2018

Lifted Marginal MAP Inference

Lifted inference reduces the complexity of inference in relational proba...

0 Vishal Sharma, et al. ∙

∙ 01/05/2018

Towards Understanding and Answering Multi-Sentence Recommendation Questions on Tourism

We introduce the first system towards the novel task of answering comple...

0 Danish Contractor, et al. ∙

∙ 07/27/2017

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

Lifted inference algorithms commonly exploit symmetries in a probabilist...

0 Ankit Anand, et al. ∙

∙ 07/22/2017

Coarse-to-Fine Lifted MAP Inference in Computer Vision

There is a vast body of theoretical research on lifted inference in prob...

0 Haroun Habeeb, et al. ∙

∙ 06/30/2016

Lifted Region-Based Belief Propagation

Due to the intractable nature of exact lifted inference, research has re...

0 David Smith, et al. ∙

∙ 06/30/2016

Contextual Symmetries in Probabilistic Graphical Models

An important approach for efficient inference in probabilistic graphical...

0 Ankit Anand, et al. ∙

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