Summary of Multi-normal Prototypes Learning For Weakly Supervised Anomaly Detection, by Zhijin Dong et al.
Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detectionby Zhijin Dong, Hongzhi Liu, Boyuan Ren, Weimin…
Summary of Variational Autoencoder-based Neural Network Model Compression, by Liang Cheng et al.
Variational autoencoder-based neural network model compressionby Liang Cheng, Peiyuan Guan, Amir Taherkordi, Lei Liu, Dapeng…
Summary of Estimating Uncertainty with Implicit Quantile Network, by Yi Hung Lim
Estimating Uncertainty with Implicit Quantile Networkby Yi Hung LimFirst submitted to arxiv on: 26 Aug…
Summary of Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation For Global Solar Mapping, by Vishal Batchu et al.
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mappingby Vishal Batchu,…
Summary of Model Parallel Training and Transfer Learning For Convolutional Neural Networks by Domain Decomposition, By Axel Klawonn and Martin Lanser and Janine Weber
Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decompositionby Axel Klawonn,…
Summary of A Domain Decomposition-based Autoregressive Deep Learning Model For Unsteady and Nonlinear Partial Differential Equations, by Sheel Nidhan et al.
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equationsby Sheel…
Summary of Gravix: Active Learning For Gravitational Waves Classification Algorithms, by Raja Vavekanand et al.
Gravix: Active Learning for Gravitational Waves Classification Algorithmsby Raja Vavekanand, Kira Sam, Vavek BharwaniFirst submitted…
Summary of Lemon and Orange Disease Classification Using Cnn-extracted Features and Machine Learning Classifier, by Khandoker Nosiba Arifin et al.
Lemon and Orange Disease Classification using CNN-Extracted Features and Machine Learning Classifierby Khandoker Nosiba Arifin,…
Summary of 1-bit Fqt: Pushing the Limit Of Fully Quantized Training to 1-bit, by Chang Gao et al.
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bitby Chang Gao, Jianfei Chen,…
Summary of An Embedding Is Worth a Thousand Noisy Labels, by Francesco Di Salvo and Sebastian Doerrich and Ines Rieger and Christian Ledig
An Embedding is Worth a Thousand Noisy Labelsby Francesco Di Salvo, Sebastian Doerrich, Ines Rieger,…