Publications

49 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
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
AutoVP: An Automated Visual Prompting Framework and Benchmark
- - Hsi-ai Tsao
  - Lei Hsiung
  - et al.
- 2024
- ICLR 2024
Fusing Models with Complementary Expertise
- - Hongyi Wang
  - Felipe Maia Polo
  - 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
On the generalization capacity of neural networks during generic multimodal reasoning
- - Taku Ito
  - Soham Dan
  - et al.
- 2024
- ICLR 2024
ACHIEVING HUMAN PARITY IN CONTENT-GROUNDED DATASETS GENERATION
- - Asaf Yehudai
  - Boaz Carmeli
  - et al.
- 2024
- ICLR 2024