Summary of Pattern-matching Dynamic Memory Network For Dual-mode Traffic Prediction, by Wenchao Weng et al.
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Predictionby Wenchao Weng, Mei Wu, Hanyu Jiang, Wanzeng…
Summary of Unveiling the Flaws: a Critical Analysis Of Initialization Effect on Time Series Anomaly Detection, by Alex Koran et al.
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detectionby Alex…
Summary of Class-aware and Augmentation-free Contrastive Learning From Label Proportion, by Jialiang Wang et al.
Class-aware and Augmentation-free Contrastive Learning from Label Proportionby Jialiang Wang, Ning Zhang, Shimin Di, Ruidong…
Summary of Efficient Search For Customized Activation Functions with Gradient Descent, by Lukas Strack et al.
Efficient Search for Customized Activation Functions with Gradient Descentby Lukas Strack, Mahmoud Safari, Frank HutterFirst…
Summary of Mambular: a Sequential Model For Tabular Deep Learning, by Anton Frederik Thielmann et al.
Mambular: A Sequential Model for Tabular Deep Learningby Anton Frederik Thielmann, Manish Kumar, Christoph Weisser,…
Summary of Using Deep Learning to Enhance Electronic Service Quality: Application to Real Estate Websites, by Samaa Elnagar
Using deep learning to enhance electronic service quality: Application to real estate websitesby Samaa ElnagarFirst…
Summary of Implicit Neural Representation For Accurate Cfd Flow Field Prediction, by Laurent De Vito et al.
Implicit Neural Representation For Accurate CFD Flow Field Predictionby Laurent de Vito, Nils Pinnau, Simone…
Summary of Layer-specific Optimization: Sensitivity Based Convolution Layers Basis Search, by Vasiliy Alekseev et al.
Layer-Specific Optimization: Sensitivity Based Convolution Layers Basis Searchby Vasiliy Alekseev, Ilya Lukashevich, Ilia Zharikov, Ilya…
Summary of A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphs, by Xiaohua Lu and Leshanshui Yang
A Methodological Report on Anomaly Detection on Dynamic Knowledge Graphsby Xiaohua Lu, Leshanshui YangFirst submitted…
Summary of Computability Of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility Through Quantization, by Holger Boche and Vit Fojtik and Adalbert Fono and Gitta Kutyniok
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantizationby Holger…