Summary of A Comparison Of Deep Learning Architectures For Spacecraft Anomaly Detection, by Daniel Lakey and Tim Schlippe
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detectionby Daniel Lakey, Tim SchlippeFirst submitted…
A Comparison of Deep Learning Architectures for Spacecraft Anomaly Detectionby Daniel Lakey, Tim SchlippeFirst submitted…
PePR: Performance Per Resource Unit as a Metric to Promote Small-Scale Deep Learning in Medical…
SUN Team’s Contribution to ABAW 2024 Competition: Audio-visual Valence-Arousal Estimation and Expression Recognitionby Denis Dresvyanskiy,…
Friendly Sharpness-Aware Minimizationby Tao Li, Pan Zhou, Zhengbao He, Xinwen Cheng, Xiaolin HuangFirst submitted to…
Sim2Real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-Informed Data Simulationby Jiyi Chen, Pengyu Li,…
Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensingby Zijian Zhao,…
TransformMix: Learning Transformation and Mixing Strategies from Databy Tsz-Him Cheung, Dit-Yan YeungFirst submitted to arxiv…
PETScML: Second-order solvers for training regression problems in Scientific Machine Learningby Stefano Zampini, Umberto Zerbinati,…
Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matricesby Gregory Dexter, Christos Boutsikas, Linkai Ma, Ilse C.F. Ipsen,…
From Explainable to Interpretable Deep Learning for Natural Language Processing in Healthcare: How Far from…