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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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07/20/2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
The mechanisms behind the success of multi-view self-supervised learning...
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06/28/2023
DUET: 2D Structured and Approximately Equivariant Representations
Multiview Self-Supervised Learning (MSSL) is based on learning invarianc...
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11/15/2022
Homomorphic Self-Supervised Learning
In this work, we observe that many existing self-supervised learning alg...
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02/18/2022
Symphony: Composing Interactive Interfaces for Machine Learning
Interfaces for machine learning (ML), information and visualizations abo...
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02/08/2022
Fair SA: Sensitivity Analysis for Fairness in Face Recognition
As the use of deep learning in high impact domains becomes ubiquitous, i...
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11/24/2021
Challenges of Adversarial Image Augmentations
Image augmentations applied during training are crucial for the generali...
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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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09/30/2021
Self-conditioning pre-trained language models
We study the presence of expert units in pre-trained Transformer-based L...
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05/15/2020
Finding Experts in Transformer Models
In this work we study the presence of expert units in pre-trained Transf...
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07/20/2018