Poster

Tue 9:00

Improved techniques for deterministic l2 robustness
Sahil Singla · Soheil Feizi

Poster

Tue 9:00

Wavelet Feature Maps Compression for Image-to-Image CNNs
Shahaf E. Finder · Yair Zohav · Maor Ashkenazi · Eran Treister

Poster

Thu 9:00

Approximation with CNNs in Sobolev Space: with Applications to Classification
Guohao Shen · Yuling Jiao · Yuanyuan Lin · Jian Huang

Poster

Wed 14:00

Structural Knowledge Distillation for Object Detection
Philip de Rijk · Lukas Schneider · Marius Cordts · Dariu Gavrila

Panel

Tue 9:30

Panel 1C-3: Towards Understanding Grokking:… & Approximation with CNNs…
Ziming Liu · GUOHAO SHEN

Workshop

Fri 7:54

Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Victoria Helus · Nathan Vaska · Natalie Abreu

Workshop

Multiple Remote Adversarial Patches: Generating Patches based on Diffusion Models for Object Detection using CNNs
Kento Oonishi · Tsunato Nakai · Daisuke Suzuki

Workshop

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

Workshop

Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Victoria Helus · Nathan Vaska · Natalie Abreu

Workshop

Simulating k-space artifacts for robust CNNs
Yaniel Cabrera · Ahmed Fetit

Workshop

Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems
Daniel Kelshaw · Georgios Rigas · Luca Magri

Workshop

Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs
Georg Kohl · Liwei Chen · Nils Thuerey