Publications

1678 results for Machine Learning

Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning
- - Zhongzhi Yu
  - Yang Zhang
  - et al.
- 2023
- ICML 2023
Conference paper
Reparameterized Policy Learning for Multimodal Trajectory Optimization
- - Zhiao Huang
  - Litian Liang
  - et al.
- 2023
- ICML 2023
Conference paper
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
- - Timothy Castiglia
  - Yi Zhou
  - et al.
- 2023
- ICML 2023
Conference paper
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression
- - Yihao Xue
  - Siddharth Joshi
  - et al.
- 2023
- ICML 2023
Conference paper
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics
- - Pingchuan Ma
  - Peter Yichen Chen
  - et al.
- 2023
- ICML 2023
Conference paper
GC-Flow: A Graph-Based Flow Network for Effective Clustering
- - Tianchun Wang
  - Farzaneh Mirzazadeh
  - et al.
- 2023
- ICML 2023
Conference paper
Regression with Sensor Data Containing Incomplete Observations
- - Takayuki Katsuki
  - Takayuki Osogami
- 2023
- ICML 2023
Conference paper
On the Forward Invariance of Neural ODEs
- - Wei Xiao
  - Tsun-Hsuan Wang
  - et al.
- 2023
- ICML 2023
Conference paper
End-to-end Differentiable Clustering with Associative Memories
- - Bishwajit Saha
  - Dmitry Krotov
  - et al.
- 2023
- ICML 2023
Conference paper
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
Conference paper