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While datasets with single-label supervision have propelled rapid advances in image classification, additional annotations are necessary in order to quantitatively assess how models make predictions.
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Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Karen Simonyan and Andrew Zisserman · 2014
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Anh Mai Nguyen, Jason Yosinski, and Jeff Clune · 2016
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Marco Túlio Ribeiro, Sameer Singh, and Carlos Guestrin · 2016
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Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, and Dhruv Batra · 2016
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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Feature visualization
Chris Olah, Alexander Mordvintsev, and Ludwig Schubert · 2017
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Objectnet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
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Understanding black-box predictions via influence functions, 2020
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Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2020
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Noise or signal: The role of image backgrounds in object recognition
Kai Yuanqing Xiao, Logan Engstrom, Andrew Ilyas, and Aleksander Madry · 2020
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Adversarial robustness comparison of vision transformer and mlp-mixer to cnns
Philipp Benz, Soomin Ham, Chaoning Zhang, Adil Karjauv, and In So Kweon · 2021
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Learning explainable models using attribution priors
Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott Lundberg, and Su-In Lee · 2019
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Interpretation of neural networks is fragile
Amirata Ghorbani, Abubakar Abid, and James Zou · 2019
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Achieving robustness in the wild via adversarial mixing with disentangled representations
Sven Gowal, Chongli Qin, Po-Sen Huang, A. Taylan Cemgil, Krishnamurthy Dvijotham, Timothy A. Mann, and Pushmeet Kohli · 2019
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Shiori Sagawa, Pang Wei Koh, Tatsunori B. Hashimoto, and Percy Liang · 2019
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Understanding robustness of transformers for image classification
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Natural adversarial examples
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Salient imagenet: How to discover spurious features in deep learning?, 2021
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Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, and Lucas Beyer · 2021
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Do feature attribution methods correctly attribute features?
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