Summary of Hypothesis-driven Deep Learning For Out Of Distribution Detection, by Yasith Jayawardana et al.
Hypothesis-Driven Deep Learning for Out of Distribution Detectionby Yasith Jayawardana, Azeem Ahmad, Balpreet S. Ahluwalia,…
Summary of Advancing Iiot with Over-the-air Federated Learning: the Role Of Iterative Magnitude Pruning, by Fazal Muhammad Ali Khan et al.
Advancing IIoT with Over-the-Air Federated Learning: The Role of Iterative Magnitude Pruningby Fazal Muhammad Ali…
Summary of Capsule Neural Networks As Noise Stabilizer For Time Series Data, by Soyeon Kim et al.
Capsule Neural Networks as Noise Stabilizer for Time Series Databy Soyeon Kim, Jihyeon Seong, Hyunkyung…
Summary of Spatial-temporal Graph Representation Learning For Tactical Networks Future State Prediction, by Junhua Liu et al.
Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Predictionby Junhua Liu, Justin Albrethsen, Lincoln…
Summary of Identity Information Based on Human Magnetocardiography Signals, by Pengju Zhang et al.
Identity information based on human magnetocardiography signalsby Pengju Zhang, Chenxi Sun, Jianwei Zhang, Hong GuoFirst…
Summary of Measuring Diversity in Co-creative Image Generation, by Francisco Ibarrola and Kazjon Grace
Measuring Diversity in Co-creative Image Generationby Francisco Ibarrola, Kazjon GraceFirst submitted to arxiv on: 6…
Summary of Robustness Verifcation in Neural Networks, by Adrian Wurm
Robustness Verifcation in Neural Networksby Adrian WurmFirst submitted to arxiv on: 20 Mar 2024CategoriesMain: Artificial…
Summary of On Training Survival Models with Scoring Rules, by Philipp Kopper et al.
On Training Survival Models with Scoring Rulesby Philipp Kopper, David Rügamer, Raphael Sonabend, Bernd Bischl,…
Summary of Fast Value Tracking For Deep Reinforcement Learning, by Frank Shih et al.
Fast Value Tracking for Deep Reinforcement Learningby Frank Shih, Faming LiangFirst submitted to arxiv on:…
Summary of Training Morphological Neural Networks with Gradient Descent: Some Theoretical Insights, by Samy Blusseau (cmm)
Training morphological neural networks with gradient descent: some theoretical insightsby Samy BlusseauFirst submitted to arxiv…