conftrace_

reconstruction error

67 papers

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Co-occurring keywords

anomaly detection (747) unsupervised learning (3264) dimensionality reduction (720) out-of-distribution detection (617) principal component analysis (316) neural network (6616) novelty detection (86) outlier detection (319) model compression (3302) diffusion model (3751)

Papers

Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error CVPR 2022
On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022
A Computable Definition of the Spectral Bias AAAI 2022
Multi-Scale Anomaly Detection for Time Series with Attention-based Recurrent Autoencoders ACML 2022
CADET: Calibrated Anomaly Detection for Mitigating Hardness Bias IJCAI 2022
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection CVPR 2022
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks NIPS 2022
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders JMLR 2021
Time Series Anomaly Detection with Multiresolution Ensemble Decoding AAAI 2021
Membership Inference Attacks Are Easier on Difficult Problems ICCV 2021
Deep Unsupervised Anomaly Detection WACV 2021
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection IJCAI 2021
Autoencoding Under Normalization Constraints ICML 2021
Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection ICCV 2021
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error IJCAI 2020
Learning Memory-Guided Normality for Anomaly Detection CVPR 2020
Lipschitz Continuous Autoencoders in Application to Anomaly Detection AISTATS 2020
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact IJCAI 2020
Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control NIPS 2020
Robust Principal Component Analysis with Adaptive Neighbors NIPS 2019
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers CVPR 2019
Non-Autoregressive Machine Translation with Auxiliary Regularization AAAI 2019
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection ICCV 2019
Unsupervised Feature Selection by Pareto Optimization AAAI 2019
C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition CVPR 2019