out-of-distribution detection

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark ICLR 2025 Well-Defined Function-Space Variational Inference in Bayesian Neural Networks via Regularized KL-Divergence UAI 2025 When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR ACL 2025 Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector AISTATS 2025 Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks ICLR 2024 AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models NeurIPS 2024 Adaptive Labeling for Efficient Out-of-distribution Model Evaluation NeurIPS 2024 AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation CVPR 2024 A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models NeurIPS 2024 AHA: Human-Assisted Out-of-Distribution Generalization and Detection NeurIPS 2024 A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024 A Provable Decision Rule for Out-of-Distribution Detection ICML 2024 A Rate-Distortion View of Uncertainty Quantification ICML 2024 Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? NeurIPS 2024 Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition Interspeech 2024 A Robust Dual-debiasing VQA Model based on Counterfactual Causal Effect EMNLP 2024 Asynchronous Perception Machine for Efficient Test Time Training NeurIPS 2024 ATS: Adaptive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods WACV 2024 Benchmarking Out-of-Distribution Detection in Visual Question Answering WACV 2024 Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks NeurIPS 2024 Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective ICLR 2024 Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs ICML 2024 Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric EMNLP 2024 Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring UAI 2024 CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024