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289 Results
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Poster
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Mon 2:30 |
Neural-based classification rule learning for sequential data Marine Collery · Philippe Bonnard · François Fages · Remy Kusters |
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Poster
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Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning Zehao Niu · Mihai Anitescu · Jie Chen |
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Poster
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Contextual Convolutional Networks Shuxian Liang · Xu Shen · Tongliang Liu · Xian-Sheng Hua |
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Poster
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Spiking Convolutional Neural Networks for Text Classification Changze Lv · Jianhan Xu · Xiaoqing Zheng |
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Poster
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Wed 7:30 |
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity Shiwei Liu · Tianlong Chen · Xiaohan Chen · Xuxi Chen · Qiao Xiao · Boqian Wu · Tommi Kärkkäinen · Mykola Pechenizkiy · Decebal Constantin Mocanu · Zhangyang Wang |
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Workshop
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Fri 3:15 |
CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction Pin-Hua Lai · Wei-Chun Yang · Hsiang-Chieh Tsou · Chun-Shu Wei |
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Poster
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Wed 7:30 |
Understanding the Covariance Structure of Convolutional Filters Asher Trockman · Devin Willmott · Zico Kolter |
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Workshop
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An automatic mobile approach for Tree DBH Estimation Using a Depth Map and a Regression Convolutional Neural Network Margaux Masson-Forsythe · Margaux Masson-Forsythe |
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Workshop
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How Deep Convolutional Neural Networks lose Spatial Information with training Umberto Tomasini · Leonardo Petrini · Francesco Cagnetta · Matthieu Wyart |
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Poster
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Reparameterization through Spatial Gradient Scaling Alexander Detkov · Mohammad Salameh · Muhammad Fetrat Qharabagh · Jialin Zhang · Wei Lu · SHANGLING JUI · Di Niu |
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Poster
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What Makes Convolutional Models Great on Long Sequence Modeling? Yuhong Li · Tianle Cai · Yi Zhang · Deming Chen · Debadeepta Dey |
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Poster
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3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation Ho Hin Lee · Shunxing Bao · Yuankai Huo · Bennett Landman |