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Visualizing and Understanding Contrastive Learning

20 June 2022

Nikos Deligiannis

Papers citing "Visualizing and Understanding Contrastive Learning"

31 / 31 papers shown

Title
Interpreting CLIP with Hierarchical Sparse Autoencoders Vladimir Zaigrajew Hubert Baniecki P. Biecek 249 1 0 27 Feb 2025
Rethinking Positive Pairs in Contrastive Learning Jiantao Wu Shentong Mo Zhenhua Feng Sara Atito Josef Kitler Muhammad Awais SSL VLM 104 3 0 23 Oct 2024
Multiview Transformers for Video Recognition Shen Yan Xuehan Xiong Anurag Arnab Zhichao Lu Mi Zhang Chen Sun Cordelia Schmid ViT 78 221 0 12 Jan 2022
Consistent Explanations by Contrastive Learning Vipin Pillai Soroush Abbasi Koohpayegani Ashley Ouligian Dennis Fong Hamed Pirsiavash FAtt 54 21 0 01 Oct 2021
How Much Can CLIP Benefit Vision-and-Language Tasks? Sheng Shen Liunian Harold Li Hao Tan Joey Tianyi Zhou Anna Rohrbach Kai-Wei Chang Z. Yao Kurt Keutzer CLIP VLM MLLM 257 410 0 13 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 697 6,121 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 157 1,868 0 05 Apr 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification Chun-Fu Chen Quanfu Fan Yikang Shen ViT 71 1,482 0 27 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 344 2,362 0 04 Mar 2021
Transformer Interpretability Beyond Attention Visualization Hila Chefer Shir Gur Lior Wolf 137 671 0 17 Dec 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 114 278 0 26 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,067 0 20 Nov 2020
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks R. Draelos Lawrence Carin FAtt 77 96 0 17 Nov 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 207 12,085 0 13 Nov 2019
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Mehdi Neshat Zifan Wang Bradley Alexander Fan Yang Zijian Zhang Sirui Ding Markus Wagner Xia Hu FAtt 93 1,074 0 03 Oct 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita David Talbot F. Moiseev Rico Sennrich Ivan Titov 114 1,146 0 23 May 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 102 1,017 0 26 Feb 2019
Visualizing Deep Similarity Networks Abby Stylianou Richard Souvenir Robert Pless FAtt 60 56 0 02 Jan 2019
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 141 1,970 0 08 Oct 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models Vitali Petsiuk Abir Das Kate Saenko FAtt 181 1,171 0 19 Jun 2018
Real-world Anomaly Detection in Surveillance Videos Waqas Sultani Chen Chen M. Shah AI4TS 177 1,489 0 12 Jan 2018
Explaining Recurrent Neural Network Predictions in Sentiment Analysis L. Arras G. Montavon K. Müller Wojciech Samek FAtt 61 354 0 22 Jun 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 188 6,015 0 04 Mar 2017
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 67 1,902 0 28 Jun 2016
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 154 2,421 0 12 Apr 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,027 0 16 Feb 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 250 9,326 0 14 Dec 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,681 0 21 Dec 2014
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 126 1,965 0 26 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 312 7,308 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 595 15,893 0 12 Nov 2013