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reconstruction error

87 papers

Papers

A Debiased Reconstruction-based Framework for Training-Free Detection of AI-Generated Images CVPR 2026 A Difference-in-Difference Approach to Detecting AI-Generated Images CVPR 2026 Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection AAAI 2026 Learning Eigenstructures of Unstructured Data Manifolds CVPR 2026 Optimal Reconstruction from Linear Queries COLT 2026 OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection AAAI 2026 Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning CVPR 2026 Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025 DRL: Decomposed Representation Learning for Tabular Anomaly Detection ICLR 2025 Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection CVPR 2025 FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error CVPR 2025 MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics AAAI 2025 Optimizing for the Shortest Path in Denoising Diffusion Model CVPR 2025 PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting CVPR 2025 Sparse Autoencoders, Again? ICML 2025 AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error CVPR 2024 Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection NeurIPS 2024 Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs ICLR 2024 Inversion-based Latent Bayesian Optimization NeurIPS 2024 Kernel PCA for Out-of-Distribution Detection NeurIPS 2024 MoCha-Stereo: Motif Channel Attention Network for Stereo Matching CVPR 2024 REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning ICLR 2024 Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024 Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NeurIPS 2024 Statistical Uncertainty in Word Embeddings: GloVe-V EMNLP 2024