Publication

Local plasticity rules can learn deep representations using self-supervised contrastive predictions

Related publications (93)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Local plasticity rules can learn deep representations using self-supervised contrastive predictions

Graph Chatbot

Chat with Graph Search

Topics in statistical physics of high-dimensional machine learning

Robust machine learning for neuroscientific inference

Predicting the long-term collective behaviour of fish pairs with deep learning

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

Deep Learning Generalization with Limited and Noisy Labels

From Kernel Methods to Neural Networks: A Unifying Variational Formulation

Text Representation Learning for Low Cost Natural Language Understanding

Supervised learning and inference of spiking neural networks with temporal coding

Robust Training and Verification of Deep Neural Networks