SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgeryby Enneng…
G-NeuroDAVIS: A Neural Network model for generalized embedding, data visualization and sample generationby Chayan Maitra,…
RAZOR: Refining Accuracy by Zeroing Out Redundanciesby Daniel Riccio, Genoveffa Tortora, Mara SangiovanniFirst submitted to…
Pseudo-label Refinement for Improving Self-Supervised Learning Systemsby Zia-ur-Rehman, Arif Mahmood, Wenxiong KangFirst submitted to arxiv…
Artificial Kuramoto Oscillatory Neuronsby Takeru Miyato, Sindy Löwe, Andreas Geiger, Max WellingFirst submitted to arxiv…
Normalizing self-supervised learning for provably reliable Change Point Detectionby Alexandra Bazarova, Evgenia Romanenkova, Alexey ZaytsevFirst…
A Simplifying and Learnable Graph Convolutional Attention Network for Unsupervised Knowledge Graphs Alignmentby Weishan Cai,…
Causally-Aware Unsupervised Feature Selection Learningby Zongxin Shen, Yanyong Huang, Dongjie Wang, Minbo Ma, Fengmao Lv,…
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learningby Jiaheng Hu, Zizhao Wang, Peter Stone,…
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptationby Hung-Chieh Fang, Po-Yi Lu, Hsuan-Tien LinFirst submitted…