Summary of Recovar: Representation Covariances on Deep Latent Spaces For Seismic Event Detection, by Onur Efe et al.
RECOVAR: Representation Covariances on Deep Latent Spaces for Seismic Event Detectionby Onur Efe, Arkadas OzakinFirst…
Summary of Ecg Arrhythmia Detection Using Disease-specific Attention-based Deep Learning Model, by Linpeng Jin
ECG Arrhythmia Detection Using Disease-specific Attention-based Deep Learning Modelby Linpeng JinFirst submitted to arxiv on:…
Summary of Your Graph Recommender Is Provably a Single-view Graph Contrastive Learning, by Wenjie Yang et al.
Your Graph Recommender is Provably a Single-view Graph Contrastive Learningby Wenjie Yang, Shengzhong Zhang, Jiaxing…
Summary of A Two-stage Imaging Framework Combining Cnn and Physics-informed Neural Networks For Full-inverse Tomography: a Case Study in Electrical Impedance Tomography (eit), by Xuanxuan Yang (1 and 2) et al.
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case…
Summary of Quantum Supervised Learning, by Antonio Macaluso
Quantum Supervised Learningby Antonio MacalusoFirst submitted to arxiv on: 24 Jul 2024CategoriesMain: Machine Learning (cs.LG)Secondary:…
Summary of Take a Step and Reconsider: Sequence Decoding For Self-improved Neural Combinatorial Optimization, by Jonathan Pirnay and Dominik G. Grimm
Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimizationby Jonathan Pirnay, Dominik…
Summary of Enhanced Feature Learning Via Regularisation: Integrating Neural Networks and Kernel Methods, by Bertille Follain and Francis Bach
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methodsby Bertille Follain, Francis BachFirst…
Summary of C3t: Cross-modal Transfer Through Time For Human Action Recognition, by Abhi Kamboj et al.
C3T: Cross-modal Transfer Through Time for Human Action Recognitionby Abhi Kamboj, Anh Duy Nguyen, Minh…
Summary of Overfitting in Contrastive Learning?, by Zachary Rabin et al.
Overfitting In Contrastive Learning?by Zachary Rabin, Jim Davis, Benjamin Lewis, Matthew ScherreikFirst submitted to arxiv…
Summary of Graphscale: a Framework to Enable Machine Learning Over Billion-node Graphs, by Vipul Gupta et al.
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphsby Vipul Gupta, Xin Chen, Ruoyun…