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Generalized Adversarially Learned Inference

Jun 15, 2020
Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai

* Under review 

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MCQA: Multimodal Co-attention Based Network for Question Answering

Apr 25, 2020
Abhishek Kumar, Trisha Mittal, Dinesh Manocha


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Marketplace for AI Models

Mar 03, 2020
Abhishek Kumar, Benjamin Finley, Tristan Braud, Sasu Tarkoma, Pan Hui


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Regularized Autoencoders via Relaxed Injective Probability Flow

Feb 20, 2020
Abhishek Kumar, Ben Poole, Kevin Murphy

* AISTATS 2020 

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On Implicit Regularization in $β$-VAEs

Feb 09, 2020
Abhishek Kumar, Ben Poole


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Nonparametric Bayesian Structure Adaptation for Continual Learning

Dec 08, 2019
Abhishek Kumar, Sunabha Chatterjee, Piyush Rai

* 12 pages, 5 Figures, 2 Tables 

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Emotion helps Sentiment: A Multi-task Model for Sentiment and Emotion Analysis

Nov 28, 2019
Abhishek Kumar, Asif Ekbal, Daisuke Kawahra, Sadao Kurohashi

* Accepted in the Proceedings of The 2019 IEEE International Joint Conference on Neural Networks (IJCNN 2019) 

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Customized video filtering on YouTube

Nov 19, 2019
Vishal Anand, Ravi Shukla, Ashwani Gupta, Abhishek Kumar

* 13 pages, 5 figures, 1 table 

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Refined $α$-Divergence Variational Inference via Rejection Sampling

Oct 29, 2019
Rahul Sharma, Abhishek Kumar, Piyush Rai

* 6 pages, 1 figure 

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Weakly Supervised Disentanglement with Guarantees

Oct 22, 2019
Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole


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A Scale Invariant Flatness Measure for Deep Network Minima

Feb 06, 2019
Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung Phan, Sang H. Chin, Trac D. Tran


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Understanding Unequal Gender Classification Accuracy from Face Images

Nov 30, 2018
Vidya Muthukumar, Tejaswini Pedapati, Nalini Ratha, Prasanna Sattigeri, Chai-Wah Wu, Brian Kingsbury, Abhishek Kumar, Samuel Thomas, Aleksandra Mojsilovic, Kush R. Varshney


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SpotTune: Transfer Learning through Adaptive Fine-tuning

Nov 21, 2018
Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogerio Feris


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MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction

Nov 14, 2018
Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, Partha Talukdar

* NIPS Workshop on Machine Learning for Molecules and Materials 

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Co-regularized Alignment for Unsupervised Domain Adaptation

Nov 13, 2018
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogerio Feris, William T. Freeman, Gregory Wornell

* NIPS 2018 accepted version 

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Knowledge-enriched Two-layered Attention Network for Sentiment Analysis

Jun 16, 2018
Abhishek Kumar, Daisuke Kawahara, Sadao Kurohashi

* Accepted in NAACL 2018 

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RepMet: Representative-based metric learning for classification and one-shot object detection

Jun 15, 2018
Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogerio Feris, Abhishek Kumar, Raja Giryes, Alex M. Bronstein


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Delta-encoder: an effective sample synthesis method for few-shot object recognition

Jun 12, 2018
Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogerio Feris, Abhishek Kumar, Raja Giryes, Alex M. Bronstein


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BlockDrop: Dynamic Inference Paths in Residual Networks

Apr 12, 2018
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogerio Feris

* CVPR 2018 

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Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear

Mar 13, 2018
Zachary C. Lipton, Kamyar Azizzadenesheli, Abhishek Kumar, Lihong Li, Jianfeng Gao, Li Deng


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Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference

Dec 05, 2017
Abhishek Kumar, Prasanna Sattigeri, P. Thomas Fletcher

* NIPS 2017 accepted version, including appendix 

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Improved Neural Text Attribute Transfer with Non-parallel Data

Dec 04, 2017
Igor Melnyk, Cicero Nogueira dos Santos, Kahini Wadhawan, Inkit Padhi, Abhishek Kumar

* NIPS 2017 Workshop on Learning Disentangled Representations: from Perception to Control 

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The Riemannian Geometry of Deep Generative Models

Nov 21, 2017
Hang Shao, Abhishek Kumar, P. Thomas Fletcher

* 9 pages 

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Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

Nov 07, 2017
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan

* added more related work 

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SenGen: Sentence Generating Neural Variational Topic Model

Aug 01, 2017
Ramesh Nallapati, Igor Melnyk, Abhishek Kumar, Bowen Zhou


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Local Group Invariant Representations via Orbit Embeddings

May 24, 2017
Anant Raj, Abhishek Kumar, Youssef Mroueh, P. Thomas Fletcher, Bernhard Schölkopf

* AISTATS 2017 accepted version including appendix, 18 pages, 1 figure 

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