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
A Probabilistic Framework for Modular Continual Learning
- - Lazar Valkov
  - Akash Srivastava
  - 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
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
One Step Closer to Unbiased Aleatoric Uncertainty Estimation
- - Wang Zhang
  - Ziwen Martin Ma
  - et al.
- 2024
- AAAI 2024
LLMGuard: Guarding against Unsafe LLM Behavior
- - Shubh Goyal
  - Medha Hira
  - et al.
- 2024
- AAAI 2024