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Transformaly -- Two (Feature Spaces) Are Better Than One

8 December 2021

M. Cohen

S. Avidan

ViT

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Papers citing "Transformaly -- Two (Feature Spaces) Are Better Than One"

31 / 31 papers shown

Title
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1 Giulia Di Teodoro F. Siciliano V. Guarrasi A. Vandamme Valeria Ghisetti Anders Sönnerborg Maurizio Zazzi Fabrizio Silvestri L. Palagi 185 8 0 24 Feb 2025
Killing it with Zero-Shot: Adversarially Robust Novelty Detection Hossein Mirzaei Mohammad Jafari Hamid Reza Dehbashi Zeinab Sadat Taghavi Mohammad Sabokrou M. Rohban 111 2 0 28 Jan 2025
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 158 0 0 24 Nov 2023
Mean-Shifted Contrastive Loss for Anomaly Detection Tal Reiss Yedid Hoshen 77 118 0 07 Jun 2021
Do We Really Need to Learn Representations from In-domain Data for Outlier Detection? Zhisheng Xiao Qing Yan Y. Amit OOD UQCV 47 18 0 19 May 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 174 168 0 28 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 324 711 0 22 Apr 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 110 303 0 20 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 90 782 0 08 Apr 2021
Learning and Evaluating Representations for Deep One-class Classification Kihyuk Sohn Chun-Liang Li Jinsung Yoon Minho Jin Tomas Pfister SSL 134 201 0 04 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 670 41,430 0 22 Oct 2020
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 69 252 0 12 Oct 2020
Puzzle-AE: Novelty Detection in Images through Solving Puzzles Mohammadreza Salehi Ainaz Eftekhar Niousha Sadjadi M. Rohban Hamid R. Rabiee AAML 134 43 0 29 Aug 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 85 604 0 16 Jul 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 395 6,837 0 13 Jun 2020
Classification-Based Anomaly Detection for General Data Liron Bergman Yedid Hoshen 52 351 0 05 May 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan Basel Alomair OOD 199 435 0 13 Apr 2020
Deep Nearest Neighbor Anomaly Detection Liron Bergman Niv Cohen Yedid Hoshen UQCV 87 160 0 24 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 378 18,866 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 213 12,124 0 13 Nov 2019
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 84 665 0 06 Nov 2019
Detecting semantic anomalies Faruk Ahmed Aaron Courville 53 83 0 13 Aug 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath Basel Alomair OOD SSL 56 948 0 28 Jun 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,487 0 11 Dec 2018
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series Dan Li Dacheng Chen Jonathan Goh See-kiong Ng AI4TS 61 297 0 13 Sep 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers Apoorv Vyas Nataraj Jammalamadaka Xia Zhu Dipankar Das Bharat Kaul Theodore L. Willke OODD 74 247 0 04 Sep 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 97 606 0 28 May 2018
Efficient GAN-Based Anomaly Detection Houssam Zenati Chuan-Sheng Foo Bruno Lecouat Gaurav Manek V. Chandrasekhar 45 563 0 17 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,081 0 08 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 168 3,472 0 07 Oct 2016