Publications

Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- - Chongyu Fan
  - Jiancheng Liu
  - et al.
- 2024
- ICLR 2024
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- - Ido Amos
  - Jonathan Berant
  - et al.
- 2024
- ICLR 2024
A Probabilistic Framework for Modular Continual Learning
- - Lazar Valkov
  - Akash Srivastava
  - et al.
- 2024
- ICLR 2024
Isogeny problems with level structure
- - Luca De Feo
  - Tako Boris Fouotsa
  - et al.
- 2024
- Eurocrypt 2024
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
- - Turgay Caglar
  - Sirine Belhaj
  - et al.
- 2024
- AAAI 2024
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
- - Guojun Xiong
  - Gang Yan
  - et al.
- 2024
- AAAI 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
- - Walter Gerych
  - Yara Rizk
  - et al.
- 2024
- AAAI 2024
Effective Data Distillation for Tabular Datasets
- - Inwon Kang
  - Parikshit Ram
  - et al.
- 2024
- AAAI 2024
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
- - Yu Zhang
  - Yunyi Zhang
  - et al.
- 2024
- AAAI 2024