Paper
Publication
Meta-Learning Black-Box Optimization via Black-Box Optimization
Paper
Publication
Reasoning-Modulated Representations
Paper
Publication
Self-supervised video pretraining yields strong image representations
Paper
Publication
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining
Paper
Publication
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
Paper
Publication
Object discovery and representation networks
Paper
Publication
Large-scale representation learning on graphs via bootstrapping
Paper
Publication
Mine Your Own vieW: Self-supervised learning through across-sample prediction
Paper
Publication
Efficient Visual Pretraining with Contrastive Detection
Paper
Publication
Rethinking Embedding Coupling in Pre-trained Language Models
Paper
Publication
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Paper
Publication
Multi-Format Contrastive Learning of Audio Representations
Paper
Publication
Bootstrap Your Own Latent: A new approach to self-supervised learning
Paper
Publication
Learning rich touch representations through cross-modal self-supervision
Paper
Publication
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
Paper
Publication
Probing Emergent Semantics in Predictive Agents via Question Answering
Paper
Publication
Syntactic Structure Distillation Pretraining For Bidirectional Encoders
Paper
Publication
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Paper
Publication
Self-Distillation Amplifies Regularization in Hilbert Space
Paper
Publication
End-to-End Learning of Visual Representations from Uncurated Instructional Videos
Paper
Publication
Large Scale Adversarial Representation Learning
Paper
Publication
World Discovery Models
Paper
Publication
Fast Task Inference with Variational Intrinsic Successor Features
Paper
Publication
Data-Efficient Image Recognition with Contrastive Predictive Coding
Paper
Publication
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration