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Consistency Regularization for Variational Auto-Encoders


May 31, 2021
Samarth Sinha, Adji B. Dieng


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S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning


Mar 10, 2021
Samarth Sinha, Animesh Garg


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Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos


Jan 18, 2021
Haoyu Xiong, Quanzhou Li, Yun-Chun Chen, Homanga Bharadhwaj, Samarth Sinha, Animesh Garg

* Project Website: https://www.pair.toronto.edu/lbw-kp/ 

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ImCLR: Implicit Contrastive Learning for Image Classification


Nov 25, 2020
John Chen, Samarth Sinha, Anastasios Kyrillidis


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D2RL: Deep Dense Architectures in Reinforcement Learning


Oct 19, 2020
Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg


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Maximum Entropy Models for Fast Adaptation


Jun 30, 2020
Samarth Sinha, Anirudh Goyal, Animesh Garg


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Experience Replay with Likelihood-free Importance Weights


Jun 23, 2020
Samarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon


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DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning


Apr 29, 2020
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen

* 18 pages 

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Revisiting Training Strategies and Generalization Performance in Deep Metric Learning


Mar 12, 2020
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen


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DIBS: Diversity inducing Information Bottleneck in Model Ensembles


Mar 10, 2020
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

* Samarth Sinha* and Homanga Bharadhwaj* contributed equally to this work. Code will be released at https://github.com/rvl-lab-utoronto/dibs 

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Curriculum By Texture


Mar 03, 2020
Samarth Sinha, Animesh Garg, Hugo Larochelle


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Top-K Training of GANs: Improving Generators by Making Critics Less Critical


Feb 14, 2020
Samarth Sinha, Anirudh Goyal, Colin Raffel, Augustus Odena


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Small-GAN: Speeding Up GAN Training Using Core-sets


Oct 29, 2019
Samarth Sinha, Han Zhang, Anirudh Goyal, Yoshua Bengio, Hugo Larochelle, Augustus Odena


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Variational Adversarial Active Learning


Mar 31, 2019
Samarth Sinha, Sayna Ebrahimi, Trevor Darrell

* First two authors contributed equally 

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Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders


Dec 17, 2018
Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata

* Corrected typos 

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