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Workshop
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Fri 11:35
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Does CLIP’s generalization performance mainly stem from high train-test similarity?
Prasanna Mayilvahanan · Thaddäus Wiedemer · Evgenia Rusak · Matthias Bethge · Wieland Brendel
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Poster
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Thu 15:00
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ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
Mohammad Reza Taesiri · Giang Nguyen · Sarra Habchi · Cor-Paul Bezemer · Anh Nguyen
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Poster
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Thu 15:00
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Does progress on ImageNet transfer to real-world datasets?
Alex Fang · Simon Kornblith · Ludwig Schmidt
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Poster
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Wed 15:00
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Unlocking Deterministic Robustness Certification on ImageNet
Kai Hu · Andy Zou · Zifan Wang · Klas Leino · Matt Fredrikson
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Poster
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Wed 8:45
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Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
Zeyuan Yin · Eric Xing · Zhiqiang Shen
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Poster
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Tue 8:45
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Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
Naman Deep Singh · Francesco Croce · Matthias Hein
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Workshop
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CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a $10,000 Budget
Xianhang Li · Zeyu Wang · Cihang Xie
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Poster
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Thu 15:00
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Automated Classification of Model Errors on ImageNet
Momchil Peychev · Mark Müller · Marc Fischer · Martin Vechev
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Workshop
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A Comparison of Equivariant Vision Models with ImageNet Pre-training
David Klee · Jung Yeon Park · Robert Platt · Robin Walters
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