Publications

46 results at ICLR 2024

Hessian Reparametrization for Coarse-grained Energy Minimization
- - Nima Dehmamy
  - Csaba Both
  - 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
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
Uncertainty Quantification via Stable Distribution Propagation
- - Felix Petersen
  - Aashwin Mishra
  - 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
An Investigation of Representation and Allocation Harms in Contrastive Learning
- - Subha Maity
  - Mayank Agarwal
  - et al.
- 2024
- 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
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