Publications

54 results at ICML 2024

How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?
- - Hongkang Li
  - Meng Weng
  - et al.
- 2024
- ICML 2024
Representing Molecules as Random Walks Over Interpretable Grammars
- - Michael Sun
  - Minghao Guo
  - et al.
- 2024
- ICML 2024
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts
- - Mohammed Nowaz Rabbani Chowdhury
  - Meng Wang
  - et al.
- 2024
- ICML 2024
Distributed Bilevel Optimization with Communication Compression
- - Yutong He
  - Jie Hu
  - et al.
- 2024
- ICML 2024
Federated Neuro-Symbolic Learning
- - Pengwei Xing
  - Songtao Lu
  - et al.
- 2024
- ICML 2024
Graph2Tac: Online Representation Learning of Formal Math Concepts
- - Lasse Blaauwbroek
  - Miroslav Olšák
  - et al.
- 2024
- ICML 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
- - Shuai Zhang
  - Heshan Fernando
  - et al.
- 2024
- ICML 2024
Larimar: Large Language Models with Episodic Memory Control
- - Payel Das
  - SUBHAJIT CHAUDHURY
  - et al.
- 2024
- ICML 2024
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits
- - Chen-chia Chang
  - Yikang Shen
  - et al.
- 2024
- ICML 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
- - Hongkang Li
  - Meng Wang
  - et al.
- 2024
- ICML 2024