Backpropagated Gradient Representations for Anomaly Detection

18 July 2020

Papers citing "Backpropagated Gradient Representations for Anomaly Detection"

20 / 20 papers shown

Title
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning Yongqi Dong Xingmin Lu Ruohan Li Wei Song B. Arem Haneen Farah ViT 110 1 0 21 Feb 2025
Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification Xinrui Zhou Yuhao Huang Haoran Dou Shijing Chen Ao Chang ... Jie Jessie Ren Ruobing Huang Jun Cheng Wufeng Xue Dong Ni MedIm 156 0 0 25 Sep 2024
Effective Data Selection for Seismic Interpretation through Disagreement Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 40 2 0 01 Jun 2024
Probing the Purview of Neural Networks via Gradient Analysis Jinsol Lee Charles Lehman Mohit Prabhushankar Ghassan AlRegib 29 7 0 06 Apr 2023
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation Ryan Benkert Oluwaseun Joseph Aribido Ghassan AlRegib 19 8 0 24 Feb 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 26 9 0 16 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey Yizhou Wang Dongliang Guo Sheng Li Octavia Camps Yun Fu 29 5 0 13 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks Mohit Prabhushankar Ghassan Al-Regib 15 3 0 11 Feb 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data Ryan Benkert Mohit Prabhushankar Ghassan AlRegib OODD OOD 21 9 0 12 Jan 2023
Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretation Ahmad Mustafa Ghassan AlRegib 15 13 0 15 Dec 2022
ADTR: Anomaly Detection Transformer with Feature Reconstruction Zhiyuan You Kai Yang Wenhan Luo Lei Cui Yu Zheng Xinyi Le ViT 37 42 0 05 Sep 2022
Constraining Representations Yields Models That Know What They Don't Know João Monteiro Pau Rodríguez López Pierre-Andre Noel I. Laradji David Vazquez AAML 44 0 0 30 Aug 2022
Gradient-Based Adversarial and Out-of-Distribution Detection Jinsol Lee Mohit Prabhushankar Ghassan AlRegib UQCV 34 13 0 16 Jun 2022
Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 32 19 0 24 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
Anomaly Detection for Solder Joints Using $β$ -VAE Furkan Ulger S. E. Yuksel A. Yilmaz DRL 21 26 0 24 Apr 2021
Elsa: Energy-based learning for semi-supervised anomaly detection Sungwon Han Hyeonho Song Seungeon Lee Sungwon Park M. Cha 35 12 0 29 Mar 2021
Extracting Causal Visual Features for Limited label Classification Mohit Prabhushankar Ghassan AlRegib CML 16 21 0 23 Mar 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 293 3,110 0 04 Nov 2016