Summary of A Lie Group Approach to Riemannian Batch Normalization, by Ziheng Chen et al.
A Lie Group Approach to Riemannian Batch Normalizationby Ziheng Chen, Yue Song, Yunmei Liu, Nicu…
Summary of Diabetesnet: a Deep Learning Approach to Diabetes Diagnosis, by Zeyu Zhang et al.
DiabetesNet: A Deep Learning Approach to Diabetes Diagnosisby Zeyu Zhang, Khandaker Asif Ahmed, Md Rakibul…
Summary of Spectrum Extraction and Clipping For Implicitly Linear Layers, by Ali Ebrahimpour Boroojeny et al.
Spectrum Extraction and Clipping for Implicitly Linear Layersby Ali Ebrahimpour Boroojeny, Matus Telgarsky, Hari SundaramFirst…
Summary of Outlier-aware Training For Low-bit Quantization Of Structural Re-parameterized Networks, by Muqun Niu et al.
Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networksby Muqun Niu, Yuan Ren, Boyu Li,…
Summary of Bowl: a Deceptively Simple Open World Learner, by Roshni .r. Kamath et al.
BOWL: A Deceptively Simple Open World Learnerby Roshni .R. Kamath, Rupert Mitchell, Subarnaduti Paul, Kristian…
Summary of Tfdmnet: a Novel Network Structure Combines the Time Domain and Frequency Domain Features, by Hengyue Pan et al.
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Featuresby Hengyue Pan,…
Summary of Resilient Practical Test-time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank, by Xingzhi Zhou et al.
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bankby Xingzhi Zhou, Zhiliang…
Summary of Inference Attacks Against Face Recognition Model Without Classification Layers, by Yuanqing Huang et al.
Inference Attacks Against Face Recognition Model without Classification Layersby Yuanqing Huang, Huilong Chen, Yinggui Wang,…
Summary of On the Numerical Reliability Of Nonsmooth Autodiff: a Maxpool Case Study, by Ryan Boustany (tse-r)
On the numerical reliability of nonsmooth autodiff: a MaxPool case studyby Ryan BoustanyFirst submitted to…
Summary of Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory, by Arnulf Jentzen et al.
Mathematical Introduction to Deep Learning: Methods, Implementations, and Theoryby Arnulf Jentzen, Benno Kuckuck, Philippe von…