Publications

Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- - Ido Amos
  - Jonathan Berant
  - et al.
- 2024
- ICLR 2024
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
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- - Akari Asai
  - Zeqiu Wu
  - et al.
- 2024
- ICLR 2024
Isogeny problems with level structure
- - Luca De Feo
  - Tako Boris Fouotsa
  - et al.
- 2024
- Eurocrypt 2024
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
- - Pin-Yu Chen
- 2024
- AAAI 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model
- - Naiyu Yin
  - Tian Gao
  - et al.
- 2024
- AAAI 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
- - Clyde Fare
  - George K. Holt
  - 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
Effective Data Distillation for Tabular Datasets
- - Inwon Kang
  - Parikshit Ram
  - et al.
- 2024
- AAAI 2024