{"total":18,"rows":[{"id":"2107.03342","title":"A Survey of Uncertainty in Deep Neural Networks","created":"2021-07-07","cited_by_count":680,"area":null},{"id":"2302.08119","title":"A Review of Uncertainty Estimation and its Application in Medical Imaging","created":"2023-02-16","cited_by_count":59,"area":null},{"id":"2307.07873","title":"Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability","created":"2023-07-15","cited_by_count":32,"area":null},{"id":"2208.00461","title":"Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks","created":"2022-07-31","cited_by_count":24,"area":null},{"id":"2111.00506","title":"PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation","created":"2021-10-31","cited_by_count":12,"area":null},{"id":"2210.00430","title":"Understanding Adversarial Robustness Against On-manifold Adversarial Examples","created":"2022-10-02","cited_by_count":12,"area":null},{"id":"2406.00332","title":"A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning","created":"2024-06-01","cited_by_count":10,"area":null},{"id":"2210.14404","title":"Adversarial Purification with the Manifold Hypothesis","created":"2022-10-26","cited_by_count":8,"area":null},{"id":"2401.02718","title":"Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence","created":"2024-01-05","cited_by_count":7,"area":null},{"id":"2312.03437","title":"Data-Centric Digital Agriculture: A Perspective","created":"2023-12-06","cited_by_count":5,"area":null},{"id":"2109.12851","title":"Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing","created":"2021-09-27","cited_by_count":4,"area":null},{"id":"2106.05870","title":"Investigation of Uncertainty of Deep Learning-based Object Classification on Radar Spectra","created":"2021-06-01","cited_by_count":2,"area":null},{"id":"2302.01440","title":"Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications","created":"2023-02-02","cited_by_count":2,"area":null},{"id":"2310.03707","title":"OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks","created":"2023-10-05","cited_by_count":2,"area":null},{"id":"2405.05830","title":"Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation","created":"2024-05-09","cited_by_count":1,"area":null},{"id":"2605.01073","title":"Controlled Paraphrase Geometry in Sentence Embedding Space: Local Manifold Modeling and Latent Probing","created":"2026-05-01","cited_by_count":0,"area":null},{"id":"2605.11231","title":"LiBaGS: Lightweight Boundary Gap Synthesis for Targeted Synthetic Data Selection","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2606.19300","title":"Confidence is Not Reliability: Rethinking MC Dropout in Brain Tumour Segmentation","created":"2026-06-17","cited_by_count":0,"area":null}],"next_cursor":null}