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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

Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection AAAI 2026
OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection AAAI 2026
MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics AAAI 2025
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error CVPR 2025
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection CVPR 2025
Optimizing for the Shortest Path in Denoising Diffusion Model CVPR 2025
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting CVPR 2025
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error CVPR 2024
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NIPS 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods IJCAI 2024
MoCha-Stereo: Motif Channel Attention Network for Stereo Matching CVPR 2024
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024
Statistical Uncertainty in Word Embeddings: GloVe-V EMNLP 2024
Inversion-based Latent Bayesian Optimization NIPS 2024
Kernel PCA for Out-of-Distribution Detection NIPS 2024
Reconstructing Humpty Dumpty: Multi-Feature Graph Autoencoder for Open Set Action Recognition WACV 2023
Out-of-Distribution Detection for Monocular Depth Estimation ICCV 2023
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction NIPS 2023
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs EMNLP 2023
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection AISTATS 2023
Out-of-Distribution Detection With Reconstruction Error and Typicality-Based Penalty WACV 2023
Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023
Memory Mechanism for Unsupervised Anomaly Detection UAI 2023
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection AAAI 2023