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20 Results
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Poster
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Tue 14:30 |
SOM-VAE: Interpretable Discrete Representation Learning on Time Series Vincent Fortuin · Matthias Hüser · Francesco Locatello · Heiko Strathmann · Gunnar Rätsch |
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Poster
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Thu 9:00 |
Hierarchical interpretations for neural network predictions Chandan Singh · William Murdoch · Bin Yu |
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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 14:30 |
Revealing interpretable object representations from human behavior Charles Zheng · Francisco Pereira · Chris I Baker · Martin N Hebart |
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Workshop
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Mon 8:00 |
Interpretability for important problems Cynthia Rudin |
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Workshop
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Mon 13:20 |
Bridging Adversarial Robustness and Gradient Interpretability Beomsu Kim |
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Poster
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Tue 9:00 |
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks José Antonio Oramas Mogrovejo · Kaili Wang · Tinne Tuytelaars |
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Poster
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Sat 20:45 |
Poster session #1 Ian Tenney · Patrick Xia · Berlin Chen · Alex Wang · Adam Poliak · Tom McCoy · Najoung Kim · Benjamin Van Durme · Sam Bowman · Dipanjan Das · Ellie Pavlick |