A Probabilistic Framework for Modular Continual Learning
- Lazar Valkov
- Akash Srivastava
- et al.
- 2024
- ICLR 2024
Publications
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors
- Ido Amos
- Jonathan Berant
- et al.
- 2024
- ICLR 2024
Isogeny problems with level structure
- Luca De Feo
- Tako Boris Fouotsa
- et al.
- 2024
- Eurocrypt 2024
STERLING: Synergistic Representation Learning on Bipartite Graphs
- Baoyu Jing
- Yuchen Yan
- et al.
- 2024
- AAAI 2024
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
- Shengwei An
- Sheng-Yen Chou
- et al.
- 2024
- AAAI 2024
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
- Yu Zhang
- Yunyi Zhang
- et al.
- 2024
- AAAI 2024
On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods
- Anh Duc Nguyen
- Tuan Dung Nguyen
- et al.
- 2024
- AAAI 2024
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition
- Hadar Mulian
- Segev Shlomov
- et al.
- 2024
- AAAI 2024
Provably Powerful Graph Neural Networks for Directed Multigraphs
- Béni Egressy
- Luc von Niederhäusern
- et al.
- 2024
- AAAI 2024
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring
- Ge Gao
- Xi Yang
- et al.
- 2024
- AAAI 2024