Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing

7 September 2022

Andrea Vedaldi

Papers citing "Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing"

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Title
When Does Contrastive Visual Representation Learning Work? Elijah Cole Xuan S. Yang Kimberly Wilber Oisin Mac Aodha Serge Belongie SSL 71 124 0 12 May 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 235 467 0 29 Apr 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 63 152 0 28 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 154 1,864 0 05 Apr 2021
Benchmarking Representation Learning for Natural World Image Collections Grant Van Horn Elijah Cole Sara Beery Kimberly Wilber Serge J. Belongie Oisin Mac Aodha SSL VLM 74 173 0 30 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 86 46 0 25 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 307 2,347 0 04 Mar 2021
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Spyros Gidaris Andrei Bursuc Gilles Puy N. Komodakis Matthieu Cord P. Pérez SSL 66 71 0 21 Dec 2020
Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz Yannis Kalantidis Diane Larlus Alahari Karteek SSL 95 50 0 10 Dec 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 112 278 0 26 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,054 0 20 Nov 2020
Are all negatives created equal in contrastive instance discrimination? Tiffany Cai Jonathan Frankle D. Schwab Ari S. Morcos SSL 67 83 0 13 Oct 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 132 643 0 02 Oct 2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases Senthil Purushwalkam Abhinav Gupta SSL 79 219 0 28 Jul 2020
Debiased Contrastive Learning Ching-Yao Chuang Joshua Robinson Yen-Chen Lin Antonio Torralba Stefanie Jegelka SSL 70 562 0 01 Jul 2020
Online Deep Clustering for Unsupervised Representation Learning Xiaohang Zhan Jiahao Xie Ziwei Liu Yew-Soon Ong Chen Change Loy OOD 94 186 0 18 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 233 4,083 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 371 6,806 0 13 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 111 540 0 25 May 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 102 1,329 0 20 May 2020
Prototypical Contrastive Learning of Unsupervised Representations Junnan Li Pan Zhou Caiming Xiong Guosheng Lin SSL DRL 134 973 0 11 May 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 481 3,433 0 09 Mar 2020
ClusterFit: Improving Generalization of Visual Representations Xueting Yan Ishan Misra Abhinav Gupta Deepti Ghadiyaram D. Mahajan SSL VLM 117 133 0 06 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 103 1,453 0 04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 201 12,085 0 13 Nov 2019
Self-labelling via simultaneous clustering and representation learning Yuki M. Asano Christian Rupprecht Andrea Vedaldi SSL 123 773 0 13 Nov 2019
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan O. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 228 305 0 17 Oct 2019
A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark Xiaohua Zhai J. Puigcerver Alexander Kolesnikov P. Ruyssen C. Riquelme ... Michael Tschannen Marcin Michalski Olivier Bousquet Sylvain Gelly N. Houlsby SSL 84 440 0 01 Oct 2019
On Mutual Information Maximization for Representation Learning Michael Tschannen Josip Djolonga Paul Kishan Rubenstein Sylvain Gelly Mario Lucic SSL 177 495 0 31 Jul 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 169 2,403 0 13 Jun 2019
Character Region Awareness for Text Detection Youngmin Baek Bado Lee Dongyoon Han Sangdoo Yun Hwalsuk Lee 64 784 0 03 Apr 2019
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 87 851 0 17 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 173 3,458 0 05 May 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 258 3,290 0 21 Mar 2018
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks Ruth C. Fong Andrea Vedaldi FAtt 71 264 0 10 Jan 2018
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks José Oramas Kaili Wang Tinne Tuytelaars XAI FAtt 45 62 0 18 Dec 2017
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 214 1,842 0 30 Nov 2017
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 257 3,723 0 28 Feb 2017
COCO-Stuff: Thing and Stuff Classes in Context Holger Caesar J. Uijlings V. Ferrari 132 1,387 0 12 Dec 2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction Richard Y. Zhang Phillip Isola Alexei A. Efros SSL DRL 68 668 0 29 Nov 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 251 18,240 0 02 Jun 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 67 5,297 0 25 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 171 2,980 0 30 Mar 2016
Learning Representations for Automatic Colorization Gustav Larsson Michael Maire Gregory Shakhnarovich VLM SSL 90 1,013 0 22 Mar 2016
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images Aravindh Mahendran Andrea Vedaldi FAtt 71 534 0 07 Dec 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 166 2,786 0 19 May 2015
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 145 1,283 0 22 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,295 0 20 Dec 2013
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 138 2,674 0 14 Nov 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,882 0 12 Nov 2013