Publications

1487 results for Machine Learning

Analyzing Generalization of Neural Networks through Loss Path Kernels
- - Yilan Chen
  - Wei Huang
  - et al.
- 2023
- NeurIPS 2023
Improved Self-supervised Molecular Representation Learning using Persistent Homology
- - Yuankai Luo
  - Lei Shi
  - et al.
- 2023
- NeurIPS 2023
Towards Label Position Bias in Graph Neural Networks
- - Haoyu Han
  - Xiaorui Liu
  - et al.
- 2023
- NeurIPS 2023
On the role of entanglement and statistics in learning
- - Srinivasan Arunachalam
  - Vojtech Havlicek
  - et al.
- 2023
- NeurIPS 2023
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
- - Weichao Mao
  - Haoran Qiu
  - et al.
- 2023
- NeurIPS 2023
Modulated Neural ODEs
- - Ilze Amanda Auzina
  - Cagatay Yildiz
  - et al.
- 2023
- NeurIPS 2023
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning
- - Fan Feng
  - Sara Magliacane
- 2023
- NeurIPS 2023
Transformers over Directed Acyclic Graphs
- - Yuankai Luo
  - Veronika Thost
  - et al.
- 2023
- NeurIPS 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
- - Jungwuk Park
  - Dong-jun Han
  - et al.
- 2023
- NeurIPS 2023
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- - Ilias Diakonikolas
  - Daniel Kane
  - et al.
- 2023
- NeurIPS 2023