Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation
Comments ICML 2023
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?
Comments Accepted by International Conference on Machine Learning (ICML), 2023
Dimensionality Reduction for General KDE Mode Finding
Comments Full version of a paper published at ICML'23
Towards Understanding Generalization of Macro-AUC in Multi-label Learning
Comments ICML 2023
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed!
Comments Proceedings of the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023
Differentiable Multi-Target Causal Bayesian Experimental Design
Comments Camera-ready version ICML 2023
Automatically Marginalized MCMC in Probabilistic Programming
Comments Accepted to the 40th International Conference on Machine Learning (ICML 2023)
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
Comments To be presented at ICML 2023. 57 pages, 6 figures
Refined Regret for Adversarial MDPs with Linear Function Approximation
Comments Accepted to ICML 2023
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming
Comments ICML 2023; Codes at https://github.com/snu-mllab/Efficient-CNN-Depth-Compression
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
Comments ICML 2023 (poster). The source code will be released in https://github.com/Westlake-AI/A2MIM
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles
Comments ICML 2023 Oral version. Code+Models: https://github.com/facebookresearch/hiera
LIV: Language-Image Representations and Rewards for Robotic Control
Comments Extended version of ICML 2023 camera-ready; Project website: https://penn-pal-lab.github.io/LIV/
Non-stationary Reinforcement Learning under General Function Approximation
Comments ICML 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
Comments ICML 2023. Datasets, code and evaluation data at https://github.com/j-cb/NINCO
Differentiable Tree Operations Promote Compositional Generalization
Comments ICML 2023. Code available at https://github.com/psoulos/dtm
Learning Prescriptive ReLU Networks
Comments 17 pages, 6 figures, accepted at ICML 23
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Comments Published at ICML 2023
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders
Comments Proceedings of the 40-th International Conference on Machine Learning (ICML), 2023
A New PHO-rmula for Improved Performance of Semi-Structured Networks
Comments ICML 2023
MEWL: Few-shot multimodal word learning with referential uncertainty
Comments Accepted at ICML 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification
Comments 23 pages, 18 figures, accepted to International Conference on Machine Learning (ICML 2023)
Continual Vision-Language Representation Learning with Off-Diagonal Information
Journal ref ICML 2023
Hiding Data Helps: On the Benefits of Masking for Sparse Coding
Comments 16 pages, 1 figure, ICML 2023
Better Diffusion Models Further Improve Adversarial Training
Comments ICML 2023
Bag of Tricks for Training Data Extraction from Language Models
Comments ICML 2023
The SSL Interplay: Augmentations, Inductive Bias, and Generalization
Journal ref Proceedings of the 40 th International Conference on Machine Learning, Honolulu, Hawaii, USA. PMLR 202, 2023
A Closer Look at Few-shot Classification Again
Comments Accepted at ICML 2023
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates
Comments ICML 2023
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think
Journal ref Published at ICML 2023
