Samarth Sinha

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Maximum Entropy Models for Fast Adaptation

Deep Neural Networks have shown great promise on a variety of downstream...
06/30/2020 ∙ by Samarth Sinha, et al. ∙ 12 ∙ share

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Experience Replay with Likelihood-free Importance Weights

The use of past experiences to accelerate temporal difference (TD) learn...
06/23/2020 ∙ by Samarth Sinha, et al. ∙ 12 ∙ share

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DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning

Visual Similarity plays an important role in many computer vision applic...
04/28/2020 ∙ by Timo Milbich, et al. ∙ 3 ∙ share

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DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Visual Similarity plays an important role in many computer vision applic...
04/28/2020 ∙ by Timo Milbich, et al. ∙ 0 ∙ share

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DIBS: Diversity inducing Information Bottleneck in Model Ensembles

Although deep learning models have achieved state-of-the-art performance...
03/10/2020 ∙ by Samarth Sinha, et al. ∙ 7 ∙ share

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Curriculum By Texture

Convolutional Neural Networks (CNNs) have shown impressive performance i...
03/03/2020 ∙ by Samarth Sinha, et al. ∙ 5 ∙ share

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Revisiting Training Strategies and Generalization Performance in Deep Metric Learning

Deep Metric Learning (DML) is arguably one of the most influential lines...
02/19/2020 ∙ by Karsten Roth, et al. ∙ 0 ∙ share

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

We introduce a simple (one line of code) modification to the Generative ...
02/14/2020 ∙ by Samarth Sinha, et al. ∙ 16 ∙ share

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

Recent work by Brock et al. (2018) suggests that Generative Adversarial ...
10/29/2019 ∙ by Samarth Sinha, et al. ∙ 22 ∙ share

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Variational Adversarial Active Learning

Active learning aims to develop label-efficient algorithms by sampling t...
03/31/2019 ∙ by Samarth Sinha, et al. ∙ 0 ∙ share

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

Many approaches in generalized zero-shot learning rely on cross-modal ma...
12/05/2018 ∙ by Edgar Schönfeld, et al. ∙ 0 ∙ share

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Samarth Sinha

Featured Co-authors

Yoshua Bengio

Trevor Darrell

Stefano Ermon

Hugo Larochelle

Zeynep Akata

Han Zhang

Animesh Garg

Joseph Paul Cohen

Jiaming Song

Anirudh Goyal

Björn Ommer

Maximum Entropy Models for Fast Adaptation

Experience Replay with Likelihood-free Importance Weights

DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

DIBS: Diversity inducing Information Bottleneck in Model Ensembles

Curriculum By Texture

Revisiting Training Strategies and Generalization Performance in Deep Metric Learning

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

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

Variational Adversarial Active Learning

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