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127 Results
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Poster
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Tue 8:30 |
Passive attention in artificial neural networks predicts human visual selectivity Thomas Langlois · Haicheng Zhao · Erin Grant · Ishita Dasgupta · Tom Griffiths · Nori Jacoby |
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Poster
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Tue 8:30 |
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks Frank Schneider · Felix Dangel · Philipp Hennig |
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Poster
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Tue 8:30 |
Overinterpretation reveals image classification model pathologies Brandon Carter · Siddhartha Jain · Jonas Mueller · David Gifford |
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Poster
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Tue 8:30 |
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks Brandon McMahan · Michael Kleinman · Jonathan Kao |
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Poster
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Fri 8:30 |
Explanation-based Data Augmentation for Image Classification Sandareka Wickramanayake · Wynne Hsu · Mong Li Lee |
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Poster
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Thu 16:30 |
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding · Zhenfang Chen · Tao Du · Ping Luo · Josh Tenenbaum · Chuang Gan |
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Poster
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Thu 8:30 |
Towards Multi-Grained Explainability for Graph Neural Networks Xiang Wang · Yingxin Wu · An Zhang · Xiangnan He · Tat-Seng Chua |
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Poster
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Fri 8:30 |
Explicable Reward Design for Reinforcement Learning Agents Rati Devidze · Goran Radanovic · Parameswaran Kamalaruban · Adish Singla |
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Poster
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Wed 0:30 |
Differentiable Synthesis of Program Architectures Guofeng Cui · He Zhu |
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Oral
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Fri 0:00 |
Passive attention in artificial neural networks predicts human visual selectivity Thomas Langlois · Haicheng Zhao · Erin Grant · Ishita Dasgupta · Tom Griffiths · Nori Jacoby |
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Poster
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Wed 0:30 |
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration Theo Bodrito · Alexandre Zouaoui · Jocelyn Chanussot · Julien Mairal |
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Poster
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Tue 16:30 |
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning Guiliang Liu · Xiangyu Sun · Oliver Schulte · Pascal Poupart |