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"Information": models, code, and papers
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An Information-theoretic Approach to Machine-oriented Music Summarization

Sep 21, 2018
Francisco Raposo, David Martins de Matos, Ricardo Ribeiro

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Conditional Deep Inverse Rosenblatt Transports

Jun 08, 2021
Tiangang Cui, Sergey Dolgov, Olivier Zahm

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VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds

Jun 01, 2021
Haotian Hu, Fanyi Wang, Huixiao Le

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Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction

Jun 01, 2021
Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang

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Harmless label noise and informative soft-labels in supervised classification

Apr 07, 2021
Daniel Ahfock, Geoffrey J. McLachlan

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Efficient Regional Memory Network for Video Object Segmentation

Mar 24, 2021
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Wenxiu Sun

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Convergence and Alignment of Gradient Descent with Random Back Propagation Weights

Jun 14, 2021
Ganlin Song, Ruitu Xu, John Lafferty

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Information Forests

Feb 07, 2012
Zhao Yi, Stefano Soatto, Maneesh Dewan, Yiqiang Zhan

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Progressively Normalized Self-Attention Network for Video Polyp Segmentation

May 24, 2021
Ge-Peng Ji, Yu-Cheng Chou, Deng-Ping Fan, Geng Chen, Huazhu Fu, Debesh Jha, Ling Shao

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Comparing seven methods for state-of-health time series prediction for the lithium-ion battery packs of forklifts

Jul 06, 2021
Matti Huotari, Shashank Arora, Avleen Malhi, Kary Främling

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