A Probabilistic Framework for Modular Continual Learning
- Lazar Valkov
- Akash Srivastava
- et al.
- 2024
- ICLR 2024
Conference paper
Publications
46 results at ICLR 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- Akari Asai
- Zeqiu Wu
- et al.
- 2024
- ICLR 2024
Conference paperADVERSARIAL ATTACKS ON FAIRNESS OF GRAPH NEURAL NETWORKS
- Binchi Zhang
- Yushun Dong
- et al.
- 2024
- ICLR 2024
Conference paperNEURAL ACTIVE LEARNING BEYOND BANDITS
- Yikun Ban
- Ishika Agarwal
- et al.
- 2024
- ICLR 2024
Conference paperBeyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- Marcus Min
- Robin (Yangruibo) Ding
- et al.
- 2024
- ICLR 2024
Conference paperFusing Models with Complementary Expertise
- Hongyi Wang
- Felipe Maia Polo
- 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 paperAn Investigation of Representation and Allocation Harms in Contrastive Learning
- Subha Maity
- Mayank Agarwal
- et al.
- 2024
- ICLR 2024
Conference paperRing-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- Yu-Lin Tsai
- Chia-yi Hsu
- 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 paper