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07/11/2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Machine learning for differential equations paves the way for computatio...
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04/24/2023
A Cookbook of Self-Supervised Learning
Self-supervised learning, dubbed the dark matter of intelligence, is a p...
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02/21/2023
On Inductive Biases for Machine Learning in Data Constrained Settings
Learning with limited data is one of the biggest problems of machine lea...
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02/15/2023
Augmented Language Models: a Survey
This survey reviews works in which language models (LMs) are augmented w...
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09/29/2022
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations
Self-Supervised Learning (SSL) methods such as VICReg, Barlow Twins or W...
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06/10/2021
GraphiT: Encoding Graph Structure in Transformers
We show that viewing graphs as sets of node features and incorporating s...
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06/22/2020
An Optimal Transport Kernel for Feature Aggregation and its Relationship to Attention
We introduce a kernel for sets of features based on an optimal transport...
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12/05/2019
Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Function
We design simple screening tests to automatically discard data samples i...
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09/30/2018
