An Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Conference paper
Publications
46 results at 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
Conference paperOn the generalization capacity of neural networks during generic multimodal reasoning
- Taku Ito
- Soham Dan
- et al.
- 2024
- ICLR 2024
Conference paperAutoVP: An Automated Visual Prompting Framework and Benchmark
- Hsi-ai Tsao
- Lei Hsiung
- et al.
- 2024
- ICLR 2024
Conference paperACHIEVING HUMAN PARITY IN CONTENT-GROUNDED DATASETS GENERATION
- Asaf Yehudai
- Boaz Carmeli
- et al.
- 2024
- ICLR 2024
Conference paperLarge Language Models are Efficient Learners of Noise-Robust Speech Recognition
- Yuchen Hu
- Chen Chen
- et al.
- 2024
- ICLR 2024
Conference paperRethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- Ming-yu Chung
- Sheng-yen Chou
- et al.
- 2024
- ICLR 2024
Conference paperFine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!
- Xiangyu Qi
- Yi Zeng
- et al.
- 2024
- ICLR 2024
Conference paperSalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
Conference paperOn Trajectory Augmentations for Off-Policy Evaluation
- Ge Gao
- Qitong Gao
- et al.
- 2024
- ICLR 2024
Conference paper