AAAI 2024 "bi-level optimization" Papers

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

Sikai Bai, Shuaicheng Li, Weiming Zhuang et al.

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion

Guanyao Wu, Hongming Fu, Jinyuan Liu et al.

IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance

Hongyi He, Longjun Liu, Haonan Zhang et al.

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

Hansong Zhang, Shikun Li, Pengju Wang et al.

MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning

Baoquan Zhang, Chuyao Luo, Demin Yu et al.

Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement

Fushuo Huo, Wenchao Xu, Jingcai Guo et al.

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization