A Probabilistic Framework for Modular Continual Learning
- Lazar Valkov
- Akash Srivastava
- et al.
- 2024
- ICLR 2024
Publications
Unraveling the Key Components of OOD Generalization via Diversification
- Harold Benoit
- Liangze Jiang
- 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
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- Chongyu Fan
- Jiancheng Liu
- et al.
- 2024
- ICLR 2024
Isogeny problems with level structure
- Luca De Feo
- Tako Boris Fouotsa
- et al.
- 2024
- Eurocrypt 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-Yen Chou
- et al.
- 2024
- AAAI 2024
Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning
- Zhenfang Chen
- Qinhong Zhou
- et al.
- 2024
- AAAI 2024
Fairness-Aware Structured Pruning in Transformers
- Abdelrahman Zayed
- Gonçalo Mordido
- et al.
- 2024
- AAAI 2024
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
- 2024
- AAAI 2024
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
- Guojun Xiong
- Gang Yan
- et al.
- 2024
- AAAI 2024