{"total":30,"rows":[{"id":"2104.03344","title":"OVANet: One-vs-All Network for Universal Domain Adaptation","created":"2021-04-07","cited_by_count":92,"area":null},{"id":"2203.13834","title":"A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration","created":"2022-03-25","cited_by_count":49,"area":null},{"id":"2205.00403","title":"A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness","created":"2022-05-01","cited_by_count":49,"area":null},{"id":"2107.12628","title":"Energy-Based Open-World Uncertainty Modeling for Confidence Calibration","created":"2021-07-27","cited_by_count":46,"area":null},{"id":"2105.14148","title":"OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers","created":"2021-05-28","cited_by_count":43,"area":null},{"id":"2207.03162","title":"Harnessing Out-Of-Distribution Examples via Augmenting Content and Style","created":"2022-07-07","cited_by_count":43,"area":null},{"id":"2203.14911","title":"Expanding Low-Density Latent Regions for Open-Set Object Detection","created":"2022-03-28","cited_by_count":38,"area":null},{"id":"2209.07601","title":"Towards Improving Calibration in Object Detection Under Domain Shift","created":"2022-09-15","cited_by_count":26,"area":null},{"id":"2405.06979","title":"Robust Semi-supervised Learning by Wisely Leveraging Open-set Data","created":"2024-05-11","cited_by_count":20,"area":null},{"id":"2207.10130","title":"Latent Discriminant deterministic Uncertainty","created":"2022-07-20","cited_by_count":17,"area":null},{"id":"2201.13279","title":"UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs","created":"2022-01-31","cited_by_count":16,"area":null},{"id":"2208.13986","title":"Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation","created":"2022-08-30","cited_by_count":13,"area":null},{"id":"2311.13355","title":"Unified Classification and Rejection: A One-versus-All Framework","created":"2023-11-22","cited_by_count":9,"area":null},{"id":"2109.12746","title":"Training on Test Data with Bayesian Adaptation for Covariate Shift","created":"2021-09-27","cited_by_count":8,"area":null},{"id":"2403.00543","title":"SURE: SUrvey REcipes for building reliable and robust deep networks","created":"2024-03-01","cited_by_count":8,"area":null},{"id":"2207.10283","title":"One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training","created":"2022-07-21","cited_by_count":7,"area":null},{"id":"2104.13756","title":"Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation","created":"2021-04-28","cited_by_count":4,"area":null},{"id":"2201.07199","title":"Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging","created":"2022-01-18","cited_by_count":4,"area":null},{"id":"2402.09264","title":"UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers","created":"2024-02-14","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":"2503.11217","title":"Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series","created":"2025-03-14","cited_by_count":3,"area":null},{"id":"2206.13923","title":"SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier","created":"2022-06-28","cited_by_count":2,"area":null},{"id":"2207.04494","title":"Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox","created":"2022-07-10","cited_by_count":2,"area":null},{"id":"2210.08710","title":"Handling Label Uncertainty for Camera Incremental Person Re-Identification","created":"2022-10-17","cited_by_count":2,"area":null},{"id":"2311.04918","title":"Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help?","created":"2023-11-02","cited_by_count":2,"area":null},{"id":"2502.00305","title":"DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning","created":"2025-02-01","cited_by_count":2,"area":null},{"id":"2206.13346","title":"Distributional Gaussian Processes Layers for Out-of-Distribution Detection","created":"2022-06-27","cited_by_count":1,"area":null},{"id":"2309.02636","title":"Multiclass Alignment of Confidence and Certainty for Network Calibration","created":"2023-09-06","cited_by_count":1,"area":null},{"id":"2403.20047","title":"Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World","created":"2024-03-29","cited_by_count":1,"area":null},{"id":"2601.17056","title":"Ego4OOD: Rethinking Egocentric Video Domain Generalization via Covariate Shift Scoring","created":"2026-01-21","cited_by_count":0,"area":null}],"next_cursor":null}