Samarth Sinha
Samarth Sinha
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Generalized Zero-and Few-Shot Learning via Aligned Variational Autoencoders
E Schönfeld, S Ebrahimi, S Sinha, T Darrell, Z Akata
CVPR 2019, 2018
Variational Adversarial Active Learning
S Sinha, S Ebrahimi, T Darrell
ICCV 2019, 2019
Revisiting training strategies and generalization performance in deep metric learning
K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen
ICML 2020, 2020
Small-GAN: Speeding Up GAN Training Using Core-sets
S Sinha, H Zhang, A Goyal, Y Bengio, H Larochelle, A Odena
ICML 2020, 2019
DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen
ECCV 2020, 2020
DIBS: Diversity inducing Information Bottleneck in Model Ensembles
S Sinha, H Bharadhwaj, A Goyal, H Larochelle, A Garg, F Shkurti
arXiv preprint arXiv:2003.04514, 2020
Curriculum By Texture
S Sinha, A Garg, H Larochelle
arXiv preprint arXiv:2003.01367, 2020
Top-K Training of GANs: Improving Generators by Making Critics Less Critical
S Sinha, A Goyal, C Raffel, A Odena
arXiv preprint arXiv:2002.06224, 2020
Maximum Entropy Models for Fast Adaptation
S Sinha, A Goyal, A Garg
arXiv preprint arXiv:2006.16524, 2020
Experience Replay with Likelihood-free Importance Weights
S Sinha, J Song, A Garg, S Ermon
arXiv preprint arXiv:2006.13169, 2020
Consistency Regularization for Variational Auto-Encoders
S Sinha, A Odena, AB Dieng
INNF Workshop-ICML 2020, 2020
Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning
E Schönfeld, S Ebrahimi, S Sinha, T Darrell, Z Akata
ICLR LLD Workshop, 2019
Variational Adversarial Active Learning Open Website
S Ebrahimi, S Sinha, T Darrell
Variational Adversarial Active Learning
S Ebrahimi, S Sinha, T Darrell
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