Generalization Bounds with Data-dependent Fractal Dimensions
Journal ref International Conference on Machine Learning (ICML 2023)
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
The Benefits of Model-Based Generalization in Reinforcement Learning
Comments Update to ICML version
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
Comments 19 pages, 5, figures, 9 tables, ICML Workshop
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Comments Accepted for oral presentation at International Conference on Machine Learning (ICML) 2023
Novelty Detection in Sequential Data by Informed Clustering and Modeling
Comments AI&HCI Workshop at the 40th International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA. 2023
Improved Algorithms for White-Box Adversarial Streams
Comments ICML 2023
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks
Journal ref The 40th International Conference on Machine Learning (ICML), 2023
Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models
Comments 2nd Workshop on Spurious Correlations, Invariance, and Stability, ICML 2023
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose?
Comments Accepted at the ICML 2023 workshop on Data-centric Machine Learning
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency
Comments The Second Workshop on Spurious Correlations, Invariance and Stability at ICML 2023
Duality in Multi-View Restricted Kernel Machines
Comments ICML 2023 Workshop on Duality for Modern Machine Learning, Honolulu, Hawaii, USA
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
Comments Accepted to ICML 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
Comments An extended abstract of this work appears in Data-centric Machine Learning Research (DMLR) Workshop at 40th International Conference on Machine Learning, Honolulu HI, USA. July 29, 2023
Causal Discovery with Language Models as Imperfect Experts
Comments Peer reviewed and accepted for presentation at the Structured Probabilistic Inference & Generative Modeling (SPIGM) workshop at ICML 2023, Hawaii, USA
FAM: Relative Flatness Aware Minimization
Comments Proceedings of the 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML) at the 40 th International Conference on Machine Learning, Honolulu, Hawaii, USA. 2023
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis
Comments Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning (ICML) 2023
Text + Sketch: Image Compression at Ultra Low Rates
Comments ICML 2023 Neural Compression Workshop
Self-Supervised Deep Learning for Model Correction in the Computational Crystallography Toolbox
Comments 1st workshop on Synergy of Scientific and Machine Learning Modeling, International Conference on Machine Learning (ICML) 2023
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
Comments ICML 2023
Deep Anomaly Detection under Labeling Budget Constraints
Comments ICML 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration
Comments In Proceedings of the International Conference on Machine Learning (ICML), 2023. Code available at https://github.com/futakw/DensityAwareCalibration
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts
Comments Accpeted by ICML 2023 (Oral), code and data released
Learning Lie Group Symmetry Transformations with Neural Networks
Comments 9 pages, 5 figures, Proceedings of the 2nd Annual Workshop on Topology, Algebra, and Geometry in Machine Learning (TAG-ML) at the 40th International Conference on Machine Learning, Honolulu, Hawaii, USA. 2023
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation
Comments Accepted at ICML 2023
Random Teachers are Good Teachers
Journal ref Proceedings of the 40th International Conference on Machine Learning, PMLR, volume 202 (2023), pages 30022-30041
Squeezing Large-Scale Diffusion Models for Mobile
Comments 7 pages, 8 figures, ICML 2023 Workshop on Challenges in Deployable Generative AI
Some challenges of calibrating differentiable agent-based models
Comments Accepted at the ICML 2023 Differentiable Almost Everything Workshop
Thompson Sampling under Bernoulli Rewards with Local Differential Privacy
Comments Accepted by ICML 22 workshop
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
Comments ICML 2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback
Comments 25 pages, 8 figures, ICML 2023
