Publications

1491 results for Machine Learning

Data Efficient Neural Scaling Law via Model Reusing
- - Peihao Wang
  - Rameswar Panda
  - et al.
- 2023
- ICML 2023
On Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- - Ching-yun Ko
  - Pin-Yu Chen
  - et al.
- 2023
- ICML 2023
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
- - Jiayi Wang
  - Shiqiang Wang
  - et al.
- 2023
- ICML 2023
Slicing Mutual Information Generalization Bounds for Neural Networks
- - Kimia Nadjahi
  - Kristjan Greenewald
  - et al.
- 2023
- ICML 2023
Towards a Theoretical and Practical Understanding of One-Shot Federated Learning with Fisher Information
- - Divyansh Jhunjhunwala
  - Shiqiang Wang
  - et al.
- 2023
- ICML 2023
Fast Feature Selection with Fairness Constraints
- - Francesco Quinzan
  - Rajiv Khanna
  - et al.
- 2023
- ICML 2023
The 2nd Workshop on New Frontiers in Adversarial Machine Learning
- - Sijia Liu
  - Pin-Yu Chen
  - et al.
- 2023
- ICML 2023
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
- - Wang Zhang
  - Tsui-Wei Weng
  - et al.
- 2023
- ICML 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization
- - Zhiao Huang
  - Litian Liang
  - et al.
- 2023
- ICML 2023
Graph Switching Dynamical Systems
- - Yongtuo Liu
  - Sara Magliacane
  - et al.
- 2023
- ICML 2023