Unraveling the Key Components of OOD Generalization via Diversification
- Harold Benoit
- Liangze Jiang
- et al.
- 2024
- ICLR 2024
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38 results at 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
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
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- Akari Asai
- Zeqiu Wu
- et al.
- 2024
- ICLR 2024
Topological Data Analysis on Noisy Quantum Computers
- Ismail Akhalwaya
- Shashanka Ubaru
- et al.
- 2024
- ICLR 2024
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
- Chen Chen
- Ruizhe Li
- et al.
- 2024
- ICLR 2024
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- Yu-Lin Tsai
- Chia-yi Hsu
- et al.
- 2024
- ICLR 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- Yan Liu
- Yu Liu
- et al.
- 2024
- ICLR 2024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
- Shiqiang Wang
- Mingyue Ji
- 2024
- ICLR 2024