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Representation Learning

2843 directly classified papers

Papers per year

Papers

Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction ICML 2023
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning ICML 2023
A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions ICML 2023
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL ICML 2023
Diffusion Based Representation Learning ICML 2023
Efficiently predicting high resolution mass spectra with graph neural networks ICML 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data? ICML 2023
Counterfactual Identifiability of Bijective Causal Models ICML 2023
LEVER: Learning to Verify Language-to-Code Generation with Execution ICML 2023
Extrapolative Controlled Sequence Generation via Iterative Refinement ICML 2023
TRAK: Attributing Model Behavior at Scale ICML 2023
Feature learning in deep classifiers through Intermediate Neural Collapse ICML 2023
Neural networks trained with SGD learn distributions of increasing complexity ICML 2023
Random Teachers are Good Teachers ICML 2023
Explainability as statistical inference ICML 2023
ModelDiff: A Framework for Comparing Learning Algorithms ICML 2023
Regularization-free Diffeomorphic Temporal Alignment Nets ICML 2023
Sequence Modeling with Multiresolution Convolutional Memory ICML 2023
Probabilistic Attention-to-Influence Neural Models for Event Sequences ICML 2023
RGE: A Repulsive Graph Rectification for Node Classification via Influence ICML 2023
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation ICML 2023
Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023
Optimizing Mode Connectivity for Class Incremental Learning ICML 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks ICML 2023
Temporal Label Smoothing for Early Event Prediction ICML 2023