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2009.05041
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Understanding the Role of Individual Units in a Deep Neural Network
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2020
10 September 2020
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Àgata Lapedriza
Bolei Zhou
Antonio Torralba
GAN
Re-assign community
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Papers citing
"Understanding the Role of Individual Units in a Deep Neural Network"
33 / 233 papers shown
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Fine-grained Interpretation and Causation Analysis in Deep NLP Models
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Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation
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253
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Neuron Coverage-Guided Domain Generalization
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Understanding Failures of Deep Networks via Robust Feature Extraction
Computer Vision and Pattern Recognition (CVPR), 2020
Sahil Singla
Besmira Nushi
S. Shah
Ece Kamar
Eric Horvitz
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379
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FACEGAN: Facial Attribute Controllable rEenactment GAN
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William Knauth
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Role Taxonomy of Units in Deep Neural Networks
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Xiuyuan Hu
108
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Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
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252
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Meta-trained agents implement Bayes-optimal agents
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Unsupervised Point Cloud Pre-Training via Occlusion Completion
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Hanchen Wang
Qi Liu
Xiangyu Yue
Joan Lasenby
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Distributional Generalization: A New Kind of Generalization
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Yamini Bansal
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Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset
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371
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233
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22 Apr 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
International Conference on Learning Representations (ICLR), 2020
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254
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475
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Stephen Casper
Xavier Boix
Vanessa D’Amario
Ling Guo
Martin Schrimpf
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252
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Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation
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Bernhard C. Geiger
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341
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