Summary of Contextual Representation Anchor Network to Alleviate Selection Bias in Few-shot Drug Discovery, by Ruifeng Li et al.
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discoveryby Ruifeng Li, Wei…
Summary of Large Model For Small Data: Foundation Model For Cross-modal Rf Human Activity Recognition, by Yuxuan Weng et al.
Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognitionby Yuxuan Weng,…
Summary of Make Llms Better Zero-shot Reasoners: Structure-orientated Autonomous Reasoning, by Pengfei He et al.
Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoningby Pengfei He, Zitao Li, Yue Xing, Yaling…
Summary of Delta: a Cloud-assisted Data Enrichment Framework For On-device Continual Learning, by Chen Gong et al.
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learningby Chen Gong, Zhenzhe Zheng, Fan…
Summary of Literature Meets Data: a Synergistic Approach to Hypothesis Generation, by Haokun Liu et al.
Literature Meets Data: A Synergistic Approach to Hypothesis Generationby Haokun Liu, Yangqiaoyu Zhou, Mingxuan Li,…
Summary of Fast Graph Sharpness-aware Minimization For Enhancing and Accelerating Few-shot Node Classification, by Yihong Luo et al.
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classificationby Yihong Luo, Yuhan Chen,…
Summary of A Theoretical Understanding Of Chain-of-thought: Coherent Reasoning and Error-aware Demonstration, by Yingqian Cui et al.
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstrationby Yingqian Cui, Pengfei He, Xianfeng…
Summary of Federated Learning with Mmd-based Early Stopping For Adaptive Gnss Interference Classification, by Nishant S. Gaikwad and Lucas Heublein and Nisha L. Raichur and Tobias Feigl and Christopher Mutschler and Felix Ott
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classificationby Nishant S. Gaikwad, Lucas…
Summary of Ssmt: Few-shot Traffic Forecasting with Single Source Meta-transfer, by Kishor Kumar Bhaumik et al.
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transferby Kishor Kumar Bhaumik, Minha Kim, Fahim Faisal…
Summary of Fomo: a Foundation Model For Mobile Traffic Forecasting with Diffusion Model, by Haoye Chai et al.
FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Modelby Haoye Chai, Xiaoqian Qi,…