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Neural Models for Output-Space Invariance in Combinatorial Problems


Feb 07, 2022
Yatin Nandwani, Vidit Jain, Mausam, Parag Singla

* Published as a conference paper at ICLR 2022 

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


Oct 14, 2021
Vipul Rathore, Kartikeya Badola, Mausam, Parag Singla


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Towards an Interpretable Latent Space in Structured Models for Video Prediction


Jul 16, 2021
Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla

* Accepted at Weakly Supervised Representation Learning Workshop at IJCAI 2021 

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


Jul 16, 2021
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP

* IEEE/ACM Transactions on Computational Biology and Bioinformatics 

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CEAR: Cross-Entity Aware Reranker for Knowledge Base Completion


Apr 18, 2021
Keshav Kolluru, Mayank Singh Chauhan, Yatin Nandwani, Parag Singla, Mausam

* 4 pages 

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Joint Spatio-Textual Reasoning for Answering Tourism Questions


Oct 19, 2020
Danish Contractor, Shashank Goel, Mausam, Parag Singla

* Updated version 

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


Aug 27, 2020
Yatin Nandwani, Deepanshu Jindal, Mausam, Parag Singla


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


Jun 10, 2020
Arnab Kumar Mondal, Himanshu Asnani, Parag Singla, Prathosh AP


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Towards Latent Space Optimality for Auto-Encoder Based Generative Models


Dec 10, 2019
Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh AP

* A version of this paper has been submitted to the Conference on Computer Vision and Pattern Recognition 2020 

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