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1412.6806
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Striving for Simplicity: The All Convolutional Net
International Conference on Learning Representations (ICLR), 2014
21 December 2014
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
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Papers citing
"Striving for Simplicity: The All Convolutional Net"
50 / 1,916 papers shown
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DExT: Detector Explanation Toolkit
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When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
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Domain Generalization by Learning and Removing Domain-specific Features
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Binxin Liang
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14 Dec 2022
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Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation
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156
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Adrian Weller
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247
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Foiling Explanations in Deep Neural Networks
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Robert Windesheim
Héctor Andrade-Loarca
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Thomas Fel
Agustin Picard
Louis Bethune
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Rémi Cadène
Thomas Serre
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Ahmad Chaddad
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Y. Katib
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A Rigorous Study Of The Deep Taylor Decomposition
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Tim Landgraf
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154
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186
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Spectrograms Are Sequences of Patches
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Similarity of Neural Architectures using Adversarial Attack Transferability
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ATCON: Attention Consistency for Vision Models
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Florian Dubost
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