{"total":486,"rows":[{"id":"2204.06507","title":"Out-of-Distribution Detection with Deep Nearest Neighbors","created":"2022-04-13","cited_by_count":600,"area":null},{"id":"2203.10807","title":"ViM: Out-Of-Distribution with Virtual-logit Matching","created":"2022-03-21","cited_by_count":405,"area":null},{"id":"2402.03744","title":"INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection","created":"2024-02-06","cited_by_count":323,"area":null},{"id":"2202.01197","title":"VOS: Learning What You Don't Know by Virtual Outlier Synthesis","created":"2022-02-02","cited_by_count":300,"area":null},{"id":"2210.07242","title":"OpenOOD: Benchmarking Generalized Out-of-Distribution Detection","created":"2022-10-13","cited_by_count":268,"area":null},{"id":"2205.09310","title":"Mitigating Neural Network Overconfidence with Logit Normalization","created":"2022-05-19","cited_by_count":252,"area":null},{"id":"2211.13445","title":"Delving into Out-of-Distribution Detection with Vision-Language Representations","created":"2022-11-24","cited_by_count":216,"area":null},{"id":"2209.09858","title":"Extremely Simple Activation Shaping for Out-of-Distribution Detection","created":"2022-09-20","cited_by_count":212,"area":null},{"id":"2303.07338","title":"Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need","created":"2023-03-13","cited_by_count":184,"area":null},{"id":"2306.09301","title":"OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection","created":"2023-06-15","cited_by_count":179,"area":null},{"id":"2306.00826","title":"In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation","created":"2023-06-01","cited_by_count":134,"area":null},{"id":"2308.12213","title":"CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No","created":"2023-08-23","cited_by_count":130,"area":null},{"id":"2203.04450","title":"How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?","created":"2022-03-08","cited_by_count":128,"area":null},{"id":"2210.14707","title":"Is Out-of-Distribution Detection Learnable?","created":"2022-10-26","cited_by_count":109,"area":null},{"id":"2206.13687","title":"POEM: Out-of-Distribution Detection with Posterior Sampling","created":"2022-06-28","cited_by_count":108,"area":null},{"id":"2306.01293","title":"LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning","created":"2023-06-02","cited_by_count":107,"area":null},{"id":"2402.01694","title":"ARGS: Alignment as Reward-Guided Search","created":"2024-01-23","cited_by_count":103,"area":"alignment"},{"id":"2202.03299","title":"Training OOD Detectors in their Natural Habitats","created":"2022-02-07","cited_by_count":86,"area":null},{"id":"2410.11287","title":"Process Reward Model with Q-Value Rankings","created":"2024-10-15","cited_by_count":80,"area":"lr"},{"id":"2112.00787","title":"Provable Guarantees for Understanding Out-of-distribution Detection","created":"2021-12-01","cited_by_count":78,"area":null},{"id":"2309.13415","title":"Dream the Impossible: Outlier Imagination with Diffusion Models","created":"2023-09-23","cited_by_count":77,"area":"diffusion"},{"id":"2310.00227","title":"Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement","created":"2023-09-30","cited_by_count":77,"area":null},{"id":"2203.03800","title":"Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild","created":"2022-03-08","cited_by_count":70,"area":null},{"id":"2302.02914","title":"Energy-based Out-of-Distribution Detection for Graph Neural Networks","created":"2023-02-06","cited_by_count":68,"area":null},{"id":"2403.20078","title":"Negative Label Guided OOD Detection with Pretrained Vision-Language Models","created":"2024-03-29","cited_by_count":66,"area":"mllm"},{"id":"2309.14888","title":"Nearest Neighbor Guidance for Out-of-Distribution Detection","created":"2023-09-26","cited_by_count":64,"area":null},{"id":"2306.09158","title":"Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection","created":"2023-06-15","cited_by_count":57,"area":null},{"id":"2209.08590","title":"RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection","created":"2022-09-18","cited_by_count":52,"area":null},{"id":"2312.11536","title":"Fast Decision Boundary based Out-of-Distribution Detector","created":"2023-12-15","cited_by_count":49,"area":null},{"id":"2210.04200","title":"Boosting Out-of-distribution Detection with Typical Features","created":"2022-10-09","cited_by_count":48,"area":null},{"id":"2303.05033","title":"Out-of-distribution Detection with Implicit Outlier Transformation","created":"2023-03-09","cited_by_count":43,"area":null},{"id":"2402.02653","title":"Learning with Mixture of Prototypes for Out-of-Distribution Detection","created":"2024-02-05","cited_by_count":43,"area":null},{"id":"2404.03248","title":"Learning Transferable Negative Prompts for Out-of-Distribution Detection","created":"2024-04-04","cited_by_count":43,"area":null},{"id":"2207.02606","title":"DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition","created":"2022-07-06","cited_by_count":42,"area":null},{"id":"2310.06823","title":"NECO: NEural Collapse Based Out-of-distribution detection","created":"2023-10-10","cited_by_count":42,"area":null},{"id":"2212.04055","title":"Mitigating Memorization of Noisy Labels by Clipping the Model Prediction","created":"2022-12-08","cited_by_count":40,"area":null},{"id":"2310.13923","title":"Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation","created":"2023-10-21","cited_by_count":38,"area":null},{"id":"2311.01796","title":"Learning to Augment Distributions for Out-of-Distribution Detection","created":"2023-11-03","cited_by_count":38,"area":null},{"id":"2402.03502","title":"How Does Unlabeled Data Provably Help Out-of-Distribution Detection?","created":"2024-02-05","cited_by_count":36,"area":null},{"id":"2407.21794","title":"Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey","created":"2024-07-31","cited_by_count":36,"area":"mllm"},{"id":"2302.01738","title":"AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge","created":"2023-02-03","cited_by_count":35,"area":null},{"id":"2303.13995","title":"LINe: Out-of-Distribution Detection by Leveraging Important Neurons","created":"2023-03-24","cited_by_count":34,"area":null},{"id":"2311.01479","title":"Detecting Out-of-Distribution Through the Lens of Neural Collapse","created":"2023-11-02","cited_by_count":34,"area":null},{"id":"2402.15374","title":"Outlier detection by ensembling uncertainty with negative objectness","created":"2024-02-23","cited_by_count":34,"area":null},{"id":"2208.02764","title":"OpenCon: Open-world Contrastive Learning","created":"2022-08-04","cited_by_count":33,"area":null},{"id":"2208.13930","title":"SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection","created":"2022-08-29","cited_by_count":33,"area":null},{"id":"2505.18032","title":"Mahalanobis++: Improving OOD Detection via Feature Normalization","created":"2025-05-23","cited_by_count":32,"area":null},{"id":"2311.03236","title":"Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources","created":"2023-11-06","cited_by_count":31,"area":null},{"id":"2212.02295","title":"Block Selection Method for Using Feature Norm in Out-of-distribution Detection","created":"2022-12-05","cited_by_count":30,"area":null},{"id":"2305.13282","title":"Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection","created":"2023-05-22","cited_by_count":29,"area":null},{"id":"2210.15198","title":"Watermarking for Out-of-distribution Detection","created":"2022-10-27","cited_by_count":28,"area":null},{"id":"2306.02879","title":"Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization","created":"2023-06-05","cited_by_count":28,"area":null},{"id":"2405.17419","title":"MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities","created":"2024-05-27","cited_by_count":28,"area":null},{"id":"2207.07506","title":"Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data","created":"2022-07-15","cited_by_count":27,"area":null},{"id":"2310.05316","title":"Understanding the Feature Norm for Out-of-Distribution Detection","created":"2023-10-09","cited_by_count":27,"area":null},{"id":"2409.01980","title":"Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey","created":"2024-09-03","cited_by_count":27,"area":null},{"id":"2409.11884","title":"Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances","created":"2024-09-18","cited_by_count":26,"area":null},{"id":"2210.07805","title":"Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning","created":"2022-10-13","cited_by_count":25,"area":null},{"id":"2402.02949","title":"Kernel PCA for Out-of-Distribution Detection","created":"2024-02-05","cited_by_count":24,"area":null},{"id":"2211.16158","title":"Out-Of-Distribution Detection Is Not All You Need","created":"2022-11-29","cited_by_count":23,"area":null},{"id":"2308.13168","title":"IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization","created":"2023-08-25","cited_by_count":23,"area":null},{"id":"2312.10686","title":"Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning","created":"2023-12-17","cited_by_count":23,"area":null},{"id":"2310.01755","title":"ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms","created":"2023-10-03","cited_by_count":22,"area":null},{"id":"2311.15367","title":"BatchNorm-based Weakly Supervised Video Anomaly Detection","created":"2023-11-26","cited_by_count":22,"area":null},{"id":"2402.17888","title":"ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection","created":"2024-02-27","cited_by_count":22,"area":null},{"id":"2404.15882","title":"Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains","created":"2024-04-24","cited_by_count":22,"area":null},{"id":"2212.09171","title":"Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data","created":"2022-12-18","cited_by_count":21,"area":null},{"id":"2308.00310","title":"GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients","created":"2023-08-01","cited_by_count":21,"area":null},{"id":"2308.05017","title":"When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis","created":"2023-08-09","cited_by_count":21,"area":null},{"id":"2407.08966","title":"LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models","created":"2024-07-12","cited_by_count":21,"area":"mllm"},{"id":"2412.06284","title":"Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data","created":"2024-12-09","cited_by_count":21,"area":null},{"id":"2301.12321","title":"Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data","created":"2023-01-29","cited_by_count":20,"area":null},{"id":"2112.00337","title":"A Unified Benchmark for the Unknown Detection Capability of Deep Neural Networks","created":"2021-12-01","cited_by_count":19,"area":null},{"id":"2303.10449","title":"Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection","created":"2023-03-18","cited_by_count":19,"area":null},{"id":"2309.15048","title":"Class Incremental Learning via Likelihood Ratio Based Task Prediction","created":"2023-09-26","cited_by_count":19,"area":null},{"id":"2503.06166","title":"Secure On-Device Video OOD Detection Without Backpropagation","created":"2025-03-08","cited_by_count":19,"area":null},{"id":"2309.04573","title":"Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation","created":"2023-09-08","cited_by_count":18,"area":null},{"id":"2311.14743","title":"A Baseline Analysis of Reward Models' Ability To Accurately Analyze Foundation Models Under Distribution Shift","created":"2023-11-21","cited_by_count":18,"area":"alignment"},{"id":"2203.02586","title":"Concept-based Explanations for Out-Of-Distribution Detectors","created":"2022-03-04","cited_by_count":16,"area":null},{"id":"2302.07106","title":"Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection","created":"2023-02-01","cited_by_count":16,"area":null},{"id":"2303.08010","title":"Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models","created":"2023-03-14","cited_by_count":16,"area":"inference"},{"id":"2306.02031","title":"DOS: Diverse Outlier Sampling for Out-of-Distribution Detection","created":"2023-06-03","cited_by_count":16,"area":null},{"id":"2306.03715","title":"Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability","created":"2023-06-06","cited_by_count":16,"area":null},{"id":"2312.08939","title":"EAT: Towards Long-Tailed Out-of-Distribution Detection","created":"2023-12-14","cited_by_count":16,"area":null},{"id":"2410.20149","title":"AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models","created":"2024-10-26","cited_by_count":16,"area":"mllm"},{"id":"2412.01023","title":"Learning Structured Representations with Hyperbolic Embeddings","created":"2024-12-02","cited_by_count":16,"area":null},{"id":"2211.06660","title":"Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection","created":"2022-11-12","cited_by_count":15,"area":null},{"id":"2212.14268","title":"Detection of out-of-distribution samples using binary neuron activation patterns","created":"2022-12-29","cited_by_count":15,"area":null},{"id":"2302.11716","title":"VRA: Variational Rectified Activation for Out-of-distribution Detection","created":"2023-02-23","cited_by_count":15,"area":null},{"id":"2310.02832","title":"Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness","created":"2023-10-04","cited_by_count":15,"area":null},{"id":"2312.14452","title":"How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?","created":"2023-12-22","cited_by_count":15,"area":null},{"id":"2411.03359","title":"Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection","created":"2024-11-05","cited_by_count":15,"area":"mllm"},{"id":"2502.05780","title":"GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation","created":"2025-02-09","cited_by_count":15,"area":null},{"id":"2207.07517","title":"On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection","created":"2022-07-15","cited_by_count":14,"area":null},{"id":"2303.01201","title":"Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection","created":"2023-03-02","cited_by_count":14,"area":null},{"id":"2309.05994","title":"ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation","created":"2023-09-12","cited_by_count":14,"area":null},{"id":"2503.16247","title":"OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection","created":"2025-03-20","cited_by_count":14,"area":null},{"id":"2507.01831","title":"Out-of-Distribution Detection Methods Answer the Wrong Questions","created":"2025-07-02","cited_by_count":14,"area":null},{"id":"2507.21160","title":"Handling Out-of-Distribution Data: A Survey","created":"2025-07-25","cited_by_count":14,"area":null},{"id":"2112.05341","title":"Hyperdimensional Feature Fusion for Out-Of-Distribution Detection","created":"2021-12-10","cited_by_count":13,"area":null}],"next_cursor":"100"}