Unraveling the Key Components of OOD Generalization via Diversification
- Harold Benoit
- Liangze Jiang
- et al.
- 2024
- ICLR 2024
Conference paper
Publications
46 results at 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
Conference paperThe Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- Yan Liu
- Yu Liu
- et al.
- 2024
- ICLR 2024
Conference paperA Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
- Shiqiang Wang
- Mingyue Ji
- 2024
- ICLR 2024
Conference paperADVERSARIAL ATTACKS ON FAIRNESS OF GRAPH NEURAL NETWORKS
- Binchi Zhang
- Yushun Dong
- et al.
- 2024
- ICLR 2024
Conference paperFusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- et al.
- 2024
- ICLR 2024
Conference paperAn Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Conference paperNever Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- Ido Amos
- Jonathan Berant
- et al.
- 2024
- ICLR 2024
Conference paperOn the generalization capacity of neural networks during generic multimodal reasoning
- Taku Ito
- Soham Dan
- et al.
- 2024
- ICLR 2024
Conference paperA Probabilistic Framework for Modular Continual Learning
- Lazar Valkov
- Akash Srivastava
- et al.
- 2024
- ICLR 2024
Conference paper