From the 1 of 140 linked papers with an AI index.
3.7k citations · 25.2k across the 137 of their papers we have counts for
25 papers · 1 filter
A Generalization of ViT/MLP-Mixer to Graphs
Xiaoxin He, Bryan Hooi, Thomas Laurent +3
Graph Neural Networks (GNNs) have shown great potential in the field of graph representation learning. Standard GNNs define a local message-passing mechanism which propagates infor…
Joint Embedding Predictive Architectures Focus on Slow Features
Vlad Sobal, Jyothir S, Siddhartha Jalagam +3
Many common methods for learning a world model for pixel-based environments use generative architectures trained with pixel-level reconstruction objectives. Recently proposed Joint…
POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks
Randall Balestriero, Yann LeCun
Deep Neural Networks (DNNs) outshine alternative function approximators in many settings thanks to their modularity in composing any desired differentiable operator. The formed par…
Unsupervised Learning of Structured Representations via Closed-Loop Transcription
Shengbang Tong, Xili Dai, Yubei Chen +5
This paper proposes an unsupervised method for learning a unified representation that serves both discriminative and generative purposes. While most existing unsupervised learning…
VICRegL: Self-Supervised Learning of Local Visual Features
Adrien Bardes, Jean Ponce, Yann LeCun
Most recent self-supervised methods for learning image representations focus on either producing a global feature with invariance properties, or producing a set of local features.…
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
Anthony Zador, Sean Escola, Blake Richards +24
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in…