Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
Comments ICML 2022 (Long Talk)
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging
Comments Safe Learning for Autonomous Driving Workshop, ICML 2022
A Comprehensive Study on Machine Learning Methods to Increase the Prediction Accuracy of Classifiers and Reduce the Number of Medical Tests Required to Diagnose Alzheimer'S Disease
Comments Presented at the 3rd International Conference on Machine Learning Techniques and Data Science (MLDS 2022)
Variational Laplace Autoencoders
Comments Published in ICML 2019
Impact of Automatic Image Classification and Blind Deconvolution in Improving Text Detection Performance of the CRAFT Algorithm
Comments 18 pages, 7 figures, 3rd International Conference on Machine Learning Techniques and Data Science
Journal ref Vol. 12, No. 21, 2022, 58-75
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning
Comments ICML 2022, the first two authors contributed equally, project page https://www.tshu.io/GEM
Generalizing Gaussian Smoothing for Random Search
Comments This work was published at ICML 2022. This version contains some minor corrections and a link to a code repository
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
Comments 9 pages, to be published in The Proceedings of the 39th International Conference on Machine Learning, 2022
Unsupervised Discovery of Inertial-Fusion Plasma Physics using Differentiable Kinetic Simulations and a Maximum Entropy Loss Function
Comments 2nd AI4Science Workshop at the 39th International Conference on Machine Learning (ICML), 2022
Generalized and Scalable Optimal Sparse Decision Trees
Comments This paper was published in ICML 2020
Unsupervised classification reveals new evolutionary pathways
Comments Accepted for publication in the ML4ASTRO (ICML 2022) proceeding book
UniMASK: Unified Inference in Sequential Decision Problems
Comments NeurIPS 2022 (Oral). A prior version was published at an ICML Workshop, available at arXiv:2204.13326
A Novel Graphical Lasso based approach towards Segmentation Analysis in Energy Game-Theoretic Frameworks
Comments Proceedings of the Special Session on Machine Learning in Energy Application, International Conference on Machine Learning and Applications (ICMLA) 2019. arXiv admin note: text overlap with arXiv:1810.10533
Journal ref 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
Geometric Multimodal Contrastive Representation Learning
Comments ICML 2022 Camera ready version (update)
Layer-wise Relevance Propagation for Echo State Networks applied to Earth System Variability
Comments Shortened title, corrected author affiliation, added citation reference: Accepted at 3rd International Conference on Machine Learning Techniques (MLTEC 2022), Zurich, Switzerland
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers
Comments To be published in proceedings of IEEE International Conference on Machine Learning Applications IEEE ICMLA 2022
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
Comments Accepted at ICML 2019. 20 pages, 4 figures, 3 tables
A data-driven approach for learning to control computers
Journal ref Proceedings of the 39th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares
Comments This work first appears in Thirty-seventh International Conference on Machine Learning, 2020, in Workshop on Beyond First Order Methods in ML Systems. accepted-papers?authuser=0" target="_blank" rel="noopener">https://sites.google.com/view/optml-icml2020/accepted-papers?authuser=0. arXiv admin note: text overlap with arXiv:2206.03371
Journal ref In Thirty-seventh International Conference on Machine Learning, 2020. In Workshop on Beyond First Order Methods in ML Systems
Uncertainty Quantification for Atlas-Level Cell Type Transfer
Comments Workshop paper at the 2022 ICML Workshop on Computational Biology
A Neural Tangent Kernel Perspective of GANs
Journal ref 39th International Conference on Machine Learning, International Machine Learning Society, Jul 2022, Baltimore, MD, United States. pp.6660-6704
Solving Subset Sum Problems using Quantum Inspired Optimization Algorithms with Applications in Auditing and Financial Data Analysis
Comments To be published in proceedings of IEEE International Conference on Machine Learning Applications IEEE ICMLA 2022
Model-Free Opponent Shaping
Comments ICML 2022 camera ready version. Code: https://github.com/luchris429/Model-Free-Opponent-Shaping
InsectUp: Crowdsourcing Insect Observations to Assess Demographic Shifts and Improve Classification
Comments Appearing at the International Conference on Machine Learning, AI for Social Good Workshop, Long Beach, United States, 2019 Appearing at the International Conference on Computer Vision, AI for Wildlife Conservation Workshop, Seoul, South Korea, 2019 5 pages, 6 figures
Nonparametric Involutive Markov Chain Monte Carlo
Comments Updated plots (after fixing minor bugs in the implementation) compared to the published version in Proceedings of the 39th International Conference on Machine Learning, PMLR 162:14802-14859, 2022. The conclusions of the version published at ICML 2022 are not affected
Nonparametric Hamiltonian Monte Carlo
Comments Updated plots (after fixing minor bugs in the implementation) compared to the published version in Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021. The conclusions of the version published at ICML 2021 are not affected
Multirate Training of Neural Networks
Comments Appeared in ICML 2022 (errata added on 19 Oct., 2022)
Journal ref Proceedings of the 39th International Conference on Machine Learning (ICML), PMLR 162, 2022
Private optimization in the interpolation regime: faster rates and hardness results
Comments published at ICML 2022; 25 pages
Improving Chest X-Ray Classification by RNN-based Patient Monitoring
Comments To be published in proceedings of IEEE International Conference on Machine Learning Applications IEEE ICMLA 2022
Understanding Gradient Descent on Edge of Stability in Deep Learning
Comments 63 pages. This paper has been accepted for conference proceedings in the 39th International Conference on Machine Learning (ICML), 2022
