Summary of Hypothesis Spaces For Deep Learning, by Rui Wang et al.
Hypothesis Spaces for Deep Learningby Rui Wang, Yuesheng Xu, Mingsong YanFirst submitted to arxiv on:…
Hypothesis Spaces for Deep Learningby Rui Wang, Yuesheng Xu, Mingsong YanFirst submitted to arxiv on:…
Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detectionby Jiajia Li, Dong Chen, Xunyuan…
Emergent Equivariance in Deep Ensemblesby Jan E. Gerken, Pan KesselFirst submitted to arxiv on: 5…
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrixby Mrinmay Sen, A. K. Qin, Gayathri C,…
Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devicesby Younghan Lee, Sohee…
Anatomically Constrained Tractography of the Fetal Brainby Camilo Calixto, Camilo Jaimes, Matheus D. Soldatelli, Simon…
HeAR – Health Acoustic Representationsby Sebastien Baur, Zaid Nabulsi, Wei-Hung Weng, Jake Garrison, Louis Blankemeier,…
DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scalingby Qingyuan Wang, Barry Cardiff,…
Making Pre-trained Language Models Great on Tabular Predictionby Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng…
COLA: Cross-city Mobility Transformer for Human Trajectory Simulationby Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu…