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The performance of machine learning models can significantly degrade under distribution shifts of the data.
Benchmarking neural network robustness to common corruptions and perturbations
Dan Hendrycks and Thomas G. Dietterich · 1903
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Cutmix: Regularization strategy to train strong classifiers with localizable features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, and Youngjoon Yoo · 1905
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Augmenting neural networks with first-order logic
Tao Li and Vivek Srikumar · 1906
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Data sketching for faster training of machine learning models
Baharan Mirzasoleiman, Jeff A. Bilmes, and Jure Leskovec · 1906
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Deep learning for classification and severity estimation of coffee leaf biotic stress
José G. M. Esgario, Renato A. Krohling, and Jose A. Ventura · 1907
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Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Kunihiko Fukushima · 1980
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Backpropagation applied to handwritten zip code recognition
Yann LeCun, Bernhard Boser, John S Denker, Donnie Henderson, Richard E Howard, Wayne Hubbard, and Lawrence D Jackel · 1989
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An introduction to case-based reasoning
Janet Kolodner · 1992
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Rademacher and gaussian complexities: Risk bounds and structural results
Peter L Bartlett and Shahar Mendelson · 2002
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Empirical margin distributions and bounding the generalization error of combined classifiers
Vladimir Koltchinskii and Dmitry Panchenko · 2002
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Clarans: a method for clustering objects for spatial data mining
R.T. Ng and Jiawei Han · 2002
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Efficient graph-based image segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher · 2004
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Reliability of dermatologists in acne lesion counts and global assessments
JK Tan, K Fung, and L Bulger · 2006
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Digital image processing, 2009
Rafael C Gonzalez, Richard E Woods, and Barry R Masters · 2009
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A simple and fast algorithm for k-medoids clustering
Hae-Sang Park and Chi-Hyuck Jun · 2009
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Shape-texture debiased neural network training
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, and Cihang Xie · 2010
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Inductive biases for deep learning of higher-level cognition
Anirudh Goyal and Yoshua Bengio · 2011
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Feature Extraction Image Processing for Computer Vision, Third Edition
Mark Nixon and Alberto S. Aguado · 2012
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Acne severity grading: determining essential clinical components and features using a delphi consensus
J Tan, B Wolfe, J Weiss, L Stein-Gold, J Bikowski, J Del Rosso, GF Webster, A Lucky, D Thiboutot, J Wilkin, J Leyden, and MM Chren · 2012
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Understanding Machine Learning: From Theory to Algorithms
Shai Shalev-Shwartz and Shai Ben-David · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard S. Zemel · 2017
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Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay and Yair Weiss · 2018
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Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew Botvinick, Oriol Vinyals, Yujia Li, and Razvan Pascanu · 2018
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Do CIFAR-10 classifiers generalize to cifar-10?
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, and Vaishaal Shankar · 2018
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Learning with deep cascades
Giulia DeSalvo, Mehryar Mohri, and Umar Syed · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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A comprehensive survey of clustering algorithms
Dongkuan Xu and Yingjie Tian · 2015
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Acne image analysis: lesion localization and classification
Fazly Salleh Abas, Benjamin Kaffenberger, Joseph Bikowski, and Metin N. Gurcan · 2016
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Knowledge matters: Importance of prior information for optimization
Çağlar Gülçehre and Yoshua Bengio · 2016
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Feature-augmented neural networks for patient note de-identification
Ji Young Lee, Franck Dernoncourt, Özlem Uzuner, and Peter Szolovits · 2016
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Timothy P. Lillicrap, Koray Kavukcuoglu, and Daan Wierstra · 2016
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Faster k-medoids clustering: Improving the pam, clara, and CLARANS algorithms
Erich Schubert and Peter J. Rousseeuw · 2018
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Development and Initial Validation of a Multidimensional Acne Global Grading System Integrating Primary Lesions and Secondary Changes
Elena Bernardis, Haochang Shou, John S. Barbieri, Patrick J. McMahon, Marissa J. Perman, Leigh Ann Rola, Jenna L. Streicher, James R. Treat, Leslie Castelo-Soccio, and Albert C. Yan · 2019
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This looks like that: Deep learning for interpretable image recognition
Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, and Jonathan K Su · 2019
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Augmix: A simple data processing method to improve robustness and uncertainty
Dan Hendrycks, Norman Mu, Ekin D Cubuk, Barret Zoph, Justin Gilmer, and Balaji Lakshminarayanan · 2019
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Manifold mixup: Better representations by interpolating hidden states
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, and Yoshua Bengio · 2019
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Simulating a primary visual cortex at the front of cnns improves robustness to image perturbations
Joel Dapello, Tiago Marques, Martin Schrimpf, Franziska Geiger, David Cox, and James J DiCarlo · 2020
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Shape or texture: Understanding discriminative features in cnns
Md. Amirul Islam, Matthew Kowal, Patrick Esser, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, and Neil D. B. Bruce · 2021
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Polanyi’s revenge and ai’s new romance with tacit knowledge
Subbarao Kambhampati · 2021
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Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, and Michael W. Mahoney · 2021
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https://docs.opencv.org/3.4/d8/dc8/tutorial_histogram_comparison.html
Histogram comparison · 2022
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N. Benjamin Erichson, Soon Hoe Lim, Francisco Utrera, Winnie Xu, Ziang Cao, and Michael W. Mahoney · 2022
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