Publications

An Investigation of Representation and Allocation Harms in Contrastive Learning
- - Subha Maity
  - Mayank Agarwal
  - 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
AutoVP: An Automated Visual Prompting Framework and Benchmark
- - Hsi-ai Tsao
  - Lei Hsiung
  - et al.
- 2024
- ICLR 2024
ACHIEVING HUMAN PARITY IN CONTENT-GROUNDED DATASETS GENERATION
- - Asaf Yehudai
  - Boaz Carmeli
  - et al.
- 2024
- ICLR 2024
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
- - Yuchen Hu
  - Chen Chen
  - et al.
- 2024
- ICLR 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- - Ming-yu Chung
  - Sheng-yen Chou
  - et al.
- 2024
- ICLR 2024
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- - Xiangyu Qi
  - Yi Zeng
  - et al.
- 2024
- ICLR 2024
On Trajectory Augmentations for Off-Policy Evaluation
- - Ge Gao
  - Qitong Gao
  - et al.
- 2024
- ICLR 2024
ADVERSARIAL ATTACKS ON FAIRNESS OF GRAPH NEURAL NETWORKS
- - Binchi Zhang
  - Yushun Dong
  - et al.
- 2024
- ICLR 2024
DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
- - Zilin Si
  - Gu Zhang
  - et al.
- 2024
- ICLR 2024