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7 Results
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Oral
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Tue 14:00 |
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos · Patricia Rubisch · Claudio Michaelis · Matthias Bethge · Felix Wichmann · Wieland Brendel |
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Poster
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Tue 14:30 |
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos · Patricia Rubisch · Claudio Michaelis · Matthias Bethge · Felix Wichmann · Wieland Brendel |
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Poster
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Tue 9:00 |
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning Pramod Kaushik Mudrakarta · Mark Sandler · Andrey Zhmoginov · Andrew Howard |
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Poster
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Tue 9:00 |
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel · Matthias Bethge |
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Poster
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Tue 9:00 |
Biologically-Plausible Learning Algorithms Can Scale to Large Datasets Wu Xiao · HONGLIN CHEN · Qianli Liao · Tomaso Poggio |
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Poster
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Tue 9:00 |
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach Wenda Zhou · Victor Veitch · Morgane Austern · Ryan P Adams · Peter Orbanz |
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Poster
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Tue 9:00 |
ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees Hao He · Hao Wang · Guang-He Lee · Yonglong Tian |