Paper
Publication
BYOL-Explore: Exploration with Bootstrapped Prediction
Paper
Publication
Large-scale representation learning on graphs via bootstrapping
Paper
Publication
Feature and Parameter Selection in Stochastic Linear Bandits
Paper
Publication
On the Role of Neural Collapse in Transfer Learning
Paper
Publication
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision
Paper
Publication
Neural Distance Embeddings for Biological Sequences
Paper
Publication
PARTS: Unsupervised segmentation with slots, attention and independence maximization
Paper
Publication
Kernel-based reinforcement Learning: A finite-time analysis
Paper
Publication
Manipulator-Independent Representations for Visual Imitation
Paper
Publication
On The Effect of Auxiliary Tasks on Representation Dynamics
Paper
Publication
Variable-rate discrete representation learning
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
BYOL works even without batch statistics
Paper
Publication
Balance Regularized Neural Network Models for Causal Effect Estimation
Paper
Publication
Sampling from a k-DPP without looking at all items
Paper
Publication
Learning rich touch representations through cross-modal self-supervision
Paper
Publication
EigenGame: PCA as a Nash Equilibrium
Paper
Publication
Towards a practical measure of interference for reinforcement learning
Paper
Publication
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning
Paper
Publication
Probing Emergent Semantics in Predictive Agents via Question Answering
Paper
Publication
Learning to cooperate: Emergent communication in multi-agent navigation
Paper
Publication
Hybrid Models for Open Set Recognition
Paper
Publication
Self-Tuning Deep Reinforcement Learning
Paper
Publication
Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification