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07/25/2023
How to Scale Your EMA
Preserving training dynamics across batch sizes is an important tool for...
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10/28/2022
Elastic Weight Consolidation Improves the Robustness of Self-Supervised Learning Methods under Transfer
Self-supervised representation learning (SSL) methods provide an effecti...
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10/01/2021
Stochastic Contrastive Learning
While state-of-the-art contrastive Self-Supervised Learning (SSL) models...
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10/01/2021
Evaluating the fairness of fine-tuning strategies in self-supervised learning
In this work we examine how fine-tuning impacts the fairness of contrast...
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10/01/2021
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
Despite the success of a number of recent techniques for visual self-sup...
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12/18/2019
Relational Mimic for Visual Adversarial Imitation Learning
In this work, we introduce a new method for imitation learning from vide...
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05/09/2019
Differentiable Approximation Bridges For Training Networks Containing Non-Differentiable Functions
Modern neural network training relies on piece-wise (sub-)differentiable...
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04/02/2019
Mirroring to Build Trust in Digital Assistants
We describe experiments towards building a conversational digital assist...
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12/08/2018
Variational Saccading: Efficient Inference for Large Resolution Images
Image classification with deep neural networks is typically restricted t...
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06/30/2018
A New Benchmark and Progress Toward Improved Weakly Supervised Learning
Knowledge Matters: Importance of Prior Information for Optimization [7],...
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12/22/2016