Summary of Unsupervised Discovery Of Formulas For Mathematical Constants, by Michael Shalyt et al.
Unsupervised Discovery of Formulas for Mathematical Constantsby Michael Shalyt, Uri Seligmann, Itay Beit Halachmi, Ofir…
Summary of Layer- and Timestep-adaptive Differentiable Token Compression Ratios For Efficient Diffusion Transformers, by Haoran You et al.
Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformersby Haoran You, Connelly Barnes,…
Summary of Kg4diagnosis: a Hierarchical Multi-agent Llm Framework with Knowledge Graph Enhancement For Medical Diagnosis, by Kaiwen Zuo et al.
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosisby Kaiwen Zuo,…
Summary of Algorithm Design For Continual Learning in Iot Networks, by Shugang Hao and Lingjie Duan
Algorithm Design for Continual Learning in IoT Networksby Shugang Hao, Lingjie DuanFirst submitted to arxiv…
Summary of Graph Learning-based Regional Heavy Rainfall Prediction Using Low-cost Rain Gauges, by Edwin Salcedo
Graph Learning-based Regional Heavy Rainfall Prediction Using Low-Cost Rain Gaugesby Edwin SalcedoFirst submitted to arxiv…
Summary of Acl-ql: Adaptive Conservative Level in Q-learning For Offline Reinforcement Learning, by Kun Wu et al.
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learningby Kun Wu, Yinuo Zhao, Zhiyuan…
Summary of Sharpness-aware Minimization with Adaptive Regularization For Training Deep Neural Networks, by Jinping Zou et al.
Sharpness-Aware Minimization with Adaptive Regularization for Training Deep Neural Networksby Jinping Zou, Xiaoge Deng, Tao…
Summary of Batch Selection For Multi-label Classification Guided by Uncertainty and Dynamic Label Correlations, By Ao Zhou and Bin Liu and Jin Wang and Grigorios Tsoumakas
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlationsby Ao Zhou, Bin…
Summary of Vsformer: Value and Shape-aware Transformer with Prior-enhanced Self-attention For Multivariate Time Series Classification, by Wenjie Xi et al.
VSFormer: Value and Shape-Aware Transformer with Prior-Enhanced Self-Attention for Multivariate Time Series Classificationby Wenjie Xi,…
Summary of Physics-guided Fair Graph Sampling For Water Temperature Prediction in River Networks, by Erhu He et al.
Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networksby Erhu He, Declan Kutscher,…