Summary of Federated Hypergraph Learning: Hyperedge Completion with Local Differential Privacy, by Linfeng Luo et al.
Federated Hypergraph Learning: Hyperedge Completion with Local Differential Privacyby Linfeng Luo, Fengxiao Tang, Xiyu Liu,…
Summary of Meta-learning Guided Label Noise Distillation For Robust Signal Modulation Classification, by Xiaoyang Hao et al.
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classificationby Xiaoyang Hao, Zhixi Feng, Tongqing…
Summary of Beyond Closure Models: Learning Chaotic-systems Via Physics-informed Neural Operators, by Chuwei Wang et al.
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operatorsby Chuwei Wang, Julius Berner, Zongyi Li,…
Summary of Adversarially Robust Industrial Anomaly Detection Through Diffusion Model, by Yuanpu Cao et al.
Adversarially Robust Industrial Anomaly Detection Through Diffusion Modelby Yuanpu Cao, Lu Lin, Jinghui ChenFirst submitted…
Summary of Dual-channel Latent Factor Analysis Enhanced Graph Contrastive Learning For Recommendation, by Junfeng Long and Hao Wu
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendationby Junfeng Long, Hao WuFirst submitted…
Summary of Mplug-owl3: Towards Long Image-sequence Understanding in Multi-modal Large Language Models, by Jiabo Ye et al.
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Modelsby Jiabo Ye, Haiyang Xu, Haowei…
Summary of Kolmogorov-arnold Network For Online Reinforcement Learning, by Victor Augusto Kich et al.
Kolmogorov-Arnold Network for Online Reinforcement Learningby Victor Augusto Kich, Jair Augusto Bottega, Raul Steinmetz, Ricardo…
Summary of Your Classifier Can Be Secretly a Likelihood-based Ood Detector, by Jirayu Burapacheep et al.
Your Classifier Can Be Secretly a Likelihood-Based OOD Detectorby Jirayu Burapacheep, Yixuan LiFirst submitted to…
Summary of A Pipeline For Data-driven Learning Of Topological Features with Applications to Protein Stability Prediction, by Amish Mishra and Francis Motta
A Pipeline for Data-Driven Learning of Topological Features with Applications to Protein Stability Predictionby Amish…
Summary of High Dimensional Bayesian Optimization Via Condensing-expansion Projection, by Jiaming Lu and Rong J.b. Zhu
High dimensional Bayesian Optimization via Condensing-Expansion Projectionby Jiaming Lu, Rong J.B. ZhuFirst submitted to arxiv…