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Panel
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Tue 9:30
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Panel 1C-3: Towards Understanding Grokking:… & Approximation with CNNs…
Ziming Liu · GUOHAO SHEN
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Poster
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Wed 14:00
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Structural Knowledge Distillation for Object Detection
Philip de Rijk · Lukas Schneider · Marius Cordts · Dariu Gavrila
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Poster
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Thu 9:00
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Approximation with CNNs in Sobolev Space: with Applications to Classification
Guohao Shen · Yuling Jiao · Yuanyuan Lin · Jian Huang
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Poster
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Tue 9:00
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Improved techniques for deterministic l2 robustness
Sahil Singla · Soheil Feizi
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Poster
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Tue 9:00
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Wavelet Feature Maps Compression for Image-to-Image CNNs
Shahaf E. Finder · Yair Zohav · Maor Ashkenazi · Eran Treister
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Workshop
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Multiple Remote Adversarial Patches: Generating Patches based on Diffusion Models for Object Detection using CNNs
Kento Oonishi · Tsunato Nakai · Daisuke Suzuki
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Workshop
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Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems
Daniel Kelshaw · Georgios Rigas · Luca Magri
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Workshop
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Implementing Divisive Normalization in CNNs Improves Robustness to Common Image Corruptions
Andrew Cirincione · Reginald Verrier · Artiom Bic · Stephanie Olaiya · James J DiCarlo · Lawrence Udeigwe · Tiago Marques
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Workshop
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Simulating k-space artifacts for robust CNNs
Yaniel Cabrera · Ahmed Fetit
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Workshop
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Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs
Georg Kohl · Liwei Chen · Nils Thuerey
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Workshop
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Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Victoria Helus · Nathan Vaska · Natalie Abreu
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Workshop
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Fri 7:54
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Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Victoria Helus · Nathan Vaska · Natalie Abreu
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