Publications

Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- - Ido Amos
  - Jonathan Berant
  - 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
A Probabilistic Framework for Modular Continual Learning
- - Lazar Valkov
  - Akash Srivastava
  - et al.
- 2024
- ICLR 2024
Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024
Isogeny problems with level structure
- - Luca De Feo
  - Tako Boris Fouotsa
  - et al.
- 2024
- Eurocrypt 2024
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
- - Yu Zhang
  - Yunyi Zhang
  - et al.
- 2024
- AAAI 2024
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
- - Turgay Caglar
  - Sirine Belhaj
  - et al.
- 2024
- AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
- - Anh Duc Nguyen
  - Tuan Dung Nguyen
  - et al.
- 2024
- AAAI 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
- - Wang Zhang
  - Ziwen Martin Ma
  - et al.
- 2024
- AAAI 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- - Shengwei An
  - Sheng-Yen Chou
  - et al.
- 2024
- AAAI 2024