Summary of Channel Balance Interpolation in the Lightning Network Via Machine Learning, by Vincent et al.
Channel Balance Interpolation in the Lightning Network via Machine Learningby Vincent, Emanuele Rossi, Vikash SinghFirst…
Summary of Energy-efficient Federated Edge Learning with Streaming Data: a Lyapunov Optimization Approach, by Chung-hsuan Hu et al.
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approachby Chung-Hsuan Hu, Zheng Chen,…
Summary of Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?, by Yang Dai et al.
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?by Yang Dai, Oubo Ma, Longfei…
Summary of Pate: Proximity-aware Time Series Anomaly Evaluation, by Ramin Ghorbani et al.
PATE: Proximity-Aware Time series anomaly Evaluationby Ramin Ghorbani, Marcel J.T. Reinders, David M.J. TaxFirst submitted…
Summary of An Active Learning Framework with a Class Balancing Strategy For Time Series Classification, by Shemonto Das
An Active Learning Framework with a Class Balancing Strategy for Time Series Classificationby Shemonto DasFirst…
Summary of Alzheimer’s Magnetic Resonance Imaging Classification Using Deep and Meta-learning Models, by Nida Nasir et al.
Alzheimer’s Magnetic Resonance Imaging Classification Using Deep and Meta-Learning Modelsby Nida Nasir, Muneeb Ahmed, Neda…
Summary of Mora: High-rank Updating For Parameter-efficient Fine-tuning, by Ting Jiang et al.
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuningby Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen…
Summary of Bangladeshi Native Vehicle Detection in Wild, by Bipin Saha et al.
Bangladeshi Native Vehicle Detection in Wildby Bipin Saha, Md. Johirul Islam, Shaikh Khaled Mostaque, Aditya…
Summary of Tenns-pleiades: Building Temporal Kernels with Orthogonal Polynomials, by Yan Ru Pei et al.
TENNs-PLEIADES: Building Temporal Kernels with Orthogonal Polynomialsby Yan Ru Pei, Olivier CoenenFirst submitted to arxiv…
Summary of Multi-order Graph Clustering with Adaptive Node-level Weight Learning, by Ye Liu et al.
Multi-order Graph Clustering with Adaptive Node-level Weight Learningby Ye Liu, Xuelei Lin, Yejia Chen, Reynold…