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21 Results
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Poster
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Wed 2:30 |
Characterizing the spectrum of the NTK via a power series expansion Michael Murray · Hui Jin · Benjamin Bowman · Guido Montufar |
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Poster
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Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks Zhen Lin · Shubhendu Trivedi · Jimeng Sun |
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Poster
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Spatio-temporal point processes with deep non-stationary kernels Zheng Dong · Xiuyuan Cheng · Yao Xie |
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Poster
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Wed 7:30 |
Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation Bobby He · James Martens · Guodong Zhang · Aleksandar Botev · Andrew Brock · Samuel L Smith · Yee Whye Teh |
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Poster
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Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel SungYub Kim · Sihwan Park · Kyungsu Kim · Eunho Yang |
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Poster
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Tue 7:30 |
Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN David Knigge · David W. Romero · Albert Gu · Efstratios Gavves · Erik Bekkers · Jakub Tomczak · Mark Hoogendoorn · Jan-jakob Sonke |
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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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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 |
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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 |