Hessian Reparametrization for Coarse-grained Energy Minimization
- Nima Dehmamy
- Csaba Both
- et al.
- 2024
- ICLR 2024
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49 results at ICLR 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
- Shiqiang Wang
- Mingyue Ji
- 2024
- ICLR 2024
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- Marcus Min
- Robin (Yangruibo) Ding
- 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
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
Uncertainty Quantification via Stable Distribution Propagation
- Felix Petersen
- Aashwin Mishra
- et al.
- 2024
- ICLR 2024
Unraveling the Key Components of OOD Generalization via Diversification
- Harold Benoit
- Liangze Jiang
- et al.
- 2024
- ICLR 2024
Fusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- et al.
- 2024
- ICLR 2024