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Abhishek Kumar

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Refined $α$-Divergence Variational Inference via Rejection Sampling

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

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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

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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

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Knowledge-enriched Two-layered Attention Network for Sentiment Analysis

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

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