{"total":54,"rows":[{"id":"2110.11334","title":"Generalized Out-of-Distribution Detection: A Survey","created":"2021-10-21","cited_by_count":802,"area":null},{"id":"2110.06207","title":"Open-Set Recognition: a Good Closed-Set Classifier is All You Need?","created":"2021-10-12","cited_by_count":353,"area":null},{"id":"2206.03687","title":"A Unified Model for Multi-class Anomaly Detection","created":"2022-06-08","cited_by_count":268,"area":null},{"id":"2203.00259","title":"Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection","created":"2022-03-01","cited_by_count":80,"area":null},{"id":"2101.10043","title":"Deep One-Class Classification via Interpolated Gaussian Descriptor","created":"2021-01-25","cited_by_count":67,"area":null},{"id":"2312.07495","title":"Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection","created":"2023-12-12","cited_by_count":47,"area":null},{"id":"2302.02615","title":"Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need","created":"2023-02-06","cited_by_count":46,"area":null},{"id":"2209.01816","title":"ADTR: Anomaly Detection Transformer with Feature Reconstruction","created":"2022-09-05","cited_by_count":31,"area":null},{"id":"2209.08425","title":"Introspective Learning : A Two-Stage Approach for Inference in Neural Networks","created":"2022-09-17","cited_by_count":20,"area":null},{"id":"2206.08255","title":"Gradient-Based Adversarial and Out-of-Distribution Detection","created":"2022-06-16","cited_by_count":14,"area":null},{"id":"2405.14737","title":"CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring","created":"2024-05-23","cited_by_count":13,"area":null},{"id":"2103.12322","title":"Extracting Causal Visual Features for Limited label Classification","created":"2021-03-23","cited_by_count":12,"area":null},{"id":"2103.12329","title":"Contrastive Reasoning in Neural Networks","created":"2021-03-23","cited_by_count":11,"area":null},{"id":"2202.11838","title":"Explanatory Paradigms in Neural Networks","created":"2022-02-24","cited_by_count":11,"area":null},{"id":"2302.12018","title":"Gaussian Switch Sampling: A Second Order Approach to Active Learning","created":"2023-02-16","cited_by_count":10,"area":null},{"id":"2304.02834","title":"Probing the Purview of Neural Networks via Gradient Analysis","created":"2023-04-06","cited_by_count":9,"area":null},{"id":"2312.02615","title":"Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models","created":"2023-12-05","cited_by_count":9,"area":"diffusion"},{"id":"2301.05106","title":"Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data","created":"2023-01-12","cited_by_count":8,"area":null},{"id":"2206.08229","title":"Open-Set Recognition with Gradient-Based Representations","created":"2022-06-16","cited_by_count":7,"area":null},{"id":"2212.07568","title":"Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretation","created":"2022-12-15","cited_by_count":7,"area":null},{"id":"2302.06670","title":"Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images and Videos","created":"2023-02-13","cited_by_count":7,"area":null},{"id":"2103.15296","title":"Elsa: Energy-based learning for semi-supervised anomaly detection","created":"2021-03-29","cited_by_count":6,"area":null},{"id":"2110.15811","title":"CVAD: A generic medical anomaly detector based on Cascade VAE","created":"2021-10-29","cited_by_count":6,"area":null},{"id":"2111.12379","title":"Efficient Anomaly Detection Using Self-Supervised Multi-Cue Tasks","created":"2021-11-24","cited_by_count":6,"area":null},{"id":"2203.04195","title":"A Gating Model for Bias Calibration in Generalized Zero-shot Learning","created":"2022-03-08","cited_by_count":6,"area":null},{"id":"2305.00079","title":"Exploiting the Distortion-Semantic Interaction in Fisheye Data","created":"2023-04-28","cited_by_count":6,"area":null},{"id":"2308.04206","title":"Exploring Transformers for Open-world Instance Segmentation","created":"2023-08-08","cited_by_count":5,"area":null},{"id":"2310.07819","title":"Faithfulness Measurable Masked Language Models","created":"2023-10-11","cited_by_count":5,"area":null},{"id":"2302.14644","title":"Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation","created":"2023-02-24","cited_by_count":4,"area":null},{"id":"2405.17494","title":"Transitional Uncertainty with Layered Intermediate Predictions","created":"2024-05-25","cited_by_count":4,"area":null},{"id":"2409.17091","title":"Ctrl-GenAug: Controllable Generative Augmentation for Medical Sequence Classification","created":"2024-09-25","cited_by_count":4,"area":null},{"id":"2104.11927","title":"Anomaly Detection for Solder Joints Using $\\beta$-VAE","created":"2021-04-24","cited_by_count":3,"area":null},{"id":"2210.06759","title":"Outlier-Robust Group Inference via Gradient Space Clustering","created":"2022-10-13","cited_by_count":3,"area":null},{"id":"2303.12992","title":"A Survey of Historical Learning: Learning Models with Learning History","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2405.08217","title":"Data Valuation with Gradient Similarity","created":"2024-05-13","cited_by_count":3,"area":null},{"id":"2406.00573","title":"VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability","created":"2024-06-01","cited_by_count":3,"area":null},{"id":"2111.12896","title":"SLA$^2$P: Self-supervised Anomaly Detection with Adversarial Perturbation","created":"2021-11-25","cited_by_count":2,"area":null},{"id":"2206.10259","title":"R2-AD2: Detecting Anomalies by Analysing the Raw Gradient","created":"2022-06-21","cited_by_count":2,"area":null},{"id":"2302.05776","title":"Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks","created":"2023-02-11","cited_by_count":2,"area":null},{"id":"2312.04398","title":"Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning","created":"2023-12-07","cited_by_count":2,"area":null},{"id":"2403.01485","title":"Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection","created":"2024-03-03","cited_by_count":2,"area":"diffusion"},{"id":"2405.13758","title":"Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks","created":"2024-05-22","cited_by_count":2,"area":null},{"id":"2505.16017","title":"GradPCA: Leveraging NTK Alignment for Reliable Out-of-Distribution Detection","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2212.07563","title":"Explainable Machine Learning for Hydrocarbon Prospect Risking","created":"2022-12-15","cited_by_count":1,"area":null},{"id":"2309.01682","title":"Prior Knowledge Guided Network for Video Anomaly Detection","created":"2023-09-04","cited_by_count":1,"area":"distill"},{"id":"2408.15113","title":"AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection","created":"2024-08-27","cited_by_count":1,"area":null},{"id":"2411.10896","title":"Targeting Negative Flips in Active Learning using Validation Sets","created":"2024-11-16","cited_by_count":1,"area":null},{"id":"2208.14488","title":"Constraining Representations Yields Models That Know What They Don't Know","created":"2022-08-30","cited_by_count":0,"area":null},{"id":"2305.04275","title":"RSC-VAE: Recoding Semantic Consistency Based VAE for One-Class Novelty Detection","created":"2023-05-07","cited_by_count":0,"area":null},{"id":"2406.05149","title":"Effective Data Selection for Seismic Interpretation through Disagreement","created":"2024-06-01","cited_by_count":0,"area":null},{"id":"2412.06168","title":"Out-of-Distribution Detection with Overlap Index","created":"2024-12-09","cited_by_count":0,"area":null},{"id":"2506.11172","title":"Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning","created":"2025-06-12","cited_by_count":0,"area":"offlinerl"},{"id":"2506.12149","title":"Maximally-Informative Retrieval for State Space Model Generation","created":"2025-06-13","cited_by_count":0,"area":null},{"id":"2602.19907","title":"Gradient based Severity Labeling for Biomarker Classification in OCT","created":"2026-02-23","cited_by_count":0,"area":null}],"next_cursor":null}