Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learningby Jia-Hao Xiao, Ming-Kun Xie, Heng-Bo Fan,…
Gaussian Process Kolmogorov-Arnold Networksby Andrew Siyuan ChenFirst submitted to arxiv on: 25 Jul 2024CategoriesMain: Machine…
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shiftby Gina Wong, Joshua Gleason, Rama Chellappa,…
Machine Unlearning using a Multi-GAN based Modelby Amartya Hatua, Trung T. Nguyen, Andrew H. SungFirst…
Automated Ensemble Multimodal Machine Learning for Healthcareby Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus…
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?by Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu…
Physics-guided machine learning predicts the planet-scale performance of solar farms with sparse, heterogeneous, public databy…
Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and futureby Sai Puppala,…
FADAS: Towards Federated Adaptive Asynchronous Optimizationby Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui ChenFirst submitted…
Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assetsby Madapu Amarlingam, Abhishek Wani, Adarsh NLFirst submitted…