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Poster
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Wed 9:00
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Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui · Yogesh Kumar · Pekka Marttinen · Samuel Kaski
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Poster
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Tue 14:00
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Non-deep Networks
Ankit Goyal · Alexey Bochkovskiy · Jia Deng · Vladlen Koltun
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Affinity Workshop
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Image Segmentation of Radio Interferometric Images Using Deep Neural Networks
Ramadimetse Sydil Kupa · Marcellin Atemkeng · Kshitij Thorat · Oleg Smirnov
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Workshop
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Foundations of Attention Mechanisms in Deep Neural Network Architectures
Pierre Baldi · Roman Vershynin
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Poster
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Thu 14:00
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Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
Benjamin Bowman · Guido Montufar
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Poster
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Tue 9:00
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Theoretical analysis of deep neural networks for temporally dependent observations
Mingliang Ma · Abolfazl Safikhani
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Workshop
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Learning deep neural networks by iterative linearisation
Adrian Goldwaser · Hong Ge
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Poster
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Thu 9:00
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Asymptotic Properties for Bayesian Neural Network in Besov Space
Kyeongwon Lee · Jaeyong Lee
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Poster
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Thu 9:00
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Handcrafted Backdoors in Deep Neural Networks
Sanghyun Hong · Nicholas Carlini · Alexey Kurakin
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Poster
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Tue 9:00
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Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
Zhiqi Bu · Jialin Mao · Shiyun Xu
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Workshop
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Efficient regression with deep neural networks: how many datapoints do we need?
Daniel Lengyel · Anastasia Borovykh
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Poster
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Tue 9:00
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Deep Limits and a Cut-Off Phenomenon for Neural Networks
Benny Avelin · Anders Karlsson
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