Summary of Three-layer Deep Learning Network Random Trees For Fault Detection in Chemical Production Process, by Ming Lu et al.
Three-layer deep learning network random trees for fault detection in chemical production processby Ming Lu,…
Summary of Neural Controlled Differential Equations with Quantum Hidden Evolutions, by Lingyi Yang and Zhen Shao
Neural Controlled Differential Equations with Quantum Hidden Evolutionsby Lingyi Yang, Zhen ShaoFirst submitted to arxiv…
Summary of A Rank Decomposition For the Topological Classification Of Neural Representations, by Kosio Beshkov and Gaute T. Einevoll
A rank decomposition for the topological classification of neural representationsby Kosio Beshkov, Gaute T. EinevollFirst…
Summary of Leveraging Pre-trained Cnns For Efficient Feature Extraction in Rice Leaf Disease Classification, by Md. Shohanur Islam Sobuj et al.
Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classificationby Md. Shohanur Islam…
Summary of Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning For Long-tailed Chest X-ray Classification, by Skylar Chan et al.
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classificationby Skylar Chan,…
Summary of Bayesian Functional Connectivity and Graph Convolutional Network For Working Memory Load Classification, by Harshini Gangapuram and Vidya Manian
Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classificationby Harshini Gangapuram, Vidya…
Summary of Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation to Mitigate Linkage Attacks, by Mariia Ignashina et al.
Safe Training with Sensitive In-domain Data: Leveraging Data Fragmentation To Mitigate Linkage Attacksby Mariia Ignashina,…
Summary of Generating Robust Counterfactual Witnesses For Graph Neural Networks, by Dazhuo Qiu et al.
Generating Robust Counterfactual Witnesses for Graph Neural Networksby Dazhuo Qiu, Mengying Wang, Arijit Khan, Yinghui…
Summary of Weighted Point Set Embedding For Multimodal Contrastive Learning Toward Optimal Similarity Metric, by Toshimitsu Uesaka et al.
Weighted Point Set Embedding for Multimodal Contrastive Learning Toward Optimal Similarity Metricby Toshimitsu Uesaka, Taiji…
Summary of Training-free Graph Neural Networks and the Power Of Labels As Features, by Ryoma Sato
Training-free Graph Neural Networks and the Power of Labels as Featuresby Ryoma SatoFirst submitted to…