conftrace_

Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
'00
'05
'10
'15
'20
'25

Papers

Optimizing DDPM Sampling with Shortcut Fine-Tuning ICML 2023
Neural FIM for learning Fisher information metrics from point cloud data ICML 2023
Disentangled Generative Models for Robust Prediction of System Dynamics ICML 2023
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot ICML 2023
A Coupled Flow Approach to Imitation Learning ICML 2023
Simple Hardware-Efficient Long Convolutions for Sequence Modeling ICML 2023
Graph Reinforcement Learning for Network Control via Bi-Level Optimization ICML 2023
Generalizing Neural Wave Functions ICML 2023
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank ICML 2023
Self-supervised learning of Split Invariant Equivariant representations ICML 2023
Transformers Meet Directed Graphs ICML 2023
Contextual Reliability: When Different Features Matter in Different Contexts ICML 2023
Reinforcement Learning from Passive Data via Latent Intentions ICML 2023
Harmonic Neural Networks ICML 2023
Efficient RL via Disentangled Environment and Agent Representations ICML 2023
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP ICML 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases ICML 2023
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023
Identifying Useful Learnwares for Heterogeneous Label Spaces ICML 2023
Conditionally Strongly Log-Concave Generative Models ICML 2023
Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network ICML 2023
Coupled Variational Autoencoder ICML 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
Sampling-based Nyström Approximation and Kernel Quadrature ICML 2023
A Generalization of ViT/MLP-Mixer to Graphs ICML 2023