{"total":36,"rows":[{"id":"2210.09184","title":"Packed-Ensembles for Efficient Uncertainty Estimation","created":"2022-10-17","cited_by_count":49,"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":"2312.02158","title":"PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness","created":"2023-12-04","cited_by_count":42,"area":null},{"id":"2108.01634","title":"Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation","created":"2021-08-03","cited_by_count":40,"area":null},{"id":"2305.16972","title":"Maskomaly:Zero-Shot Mask Anomaly Segmentation","created":"2023-05-26","cited_by_count":34,"area":null},{"id":"2203.01437","title":"MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks","created":"2022-03-02","cited_by_count":24,"area":null},{"id":"2108.00968","title":"Robust Semantic Segmentation with Superpixel-Mix","created":"2021-08-02","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":"2101.09193","title":"Dense outlier detection and open-set recognition based on training with noisy negative images","created":"2021-01-22","cited_by_count":17,"area":null},{"id":"2207.10130","title":"Latent Discriminant deterministic Uncertainty","created":"2022-07-20","cited_by_count":17,"area":null},{"id":"2312.15297","title":"Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models","created":"2023-12-23","cited_by_count":15,"area":null},{"id":"2310.08287","title":"A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors","created":"2023-10-12","cited_by_count":12,"area":null},{"id":"2412.03178","title":"Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation","created":"2024-12-04","cited_by_count":11,"area":null},{"id":"2112.12833","title":"Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data","created":"2021-12-23","cited_by_count":10,"area":null},{"id":"2206.09513","title":"$C^*$-algebra Net: A New Approach Generalizing Neural Network Parameters to $C^*$-algebra","created":"2022-06-20","cited_by_count":9,"area":null},{"id":"2301.08555","title":"Hybrid Open-set Segmentation with Synthetic Negative Data","created":"2023-01-19","cited_by_count":8,"area":null},{"id":"2112.02834","title":"A Generalized Zero-Shot Quantization of Deep Convolutional Neural Networks via Learned Weights Statistics","created":"2021-12-06","cited_by_count":6,"area":null},{"id":"2309.15478","title":"The Robust Semantic Segmentation UNCV2023 Challenge Results","created":"2023-09-27","cited_by_count":5,"area":null},{"id":"2412.08010","title":"Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations","created":"2024-12-11","cited_by_count":4,"area":null},{"id":"2511.10282","title":"Torch-Uncertainty: A Deep Learning Framework for Uncertainty Quantification","created":"2025-11-13","cited_by_count":4,"area":null},{"id":"2208.14195","title":"Probing Contextual Diversity for Dense Out-of-Distribution Detection","created":"2022-08-30","cited_by_count":3,"area":null},{"id":"2302.11012","title":"Likelihood Annealing: Fast Calibrated Uncertainty for Regression","created":"2023-02-21","cited_by_count":3,"area":null},{"id":"2309.06223","title":"Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces in DNN Executables","created":"2023-09-12","cited_by_count":3,"area":null},{"id":"2210.05470","title":"Block Format Error Bounds and Optimal Block Size Selection","created":"2022-10-11","cited_by_count":2,"area":null},{"id":"2210.05876","title":"Statistical Modeling of Soft Error Influence on Neural Networks","created":"2022-10-12","cited_by_count":2,"area":null},{"id":"2212.06493","title":"Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection","created":"2022-12-13","cited_by_count":2,"area":null},{"id":"2308.02535","title":"Learning to Generate Training Datasets for Robust Semantic Segmentation","created":"2023-08-01","cited_by_count":2,"area":null},{"id":"2503.09184","title":"Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs","created":"2025-03-12","cited_by_count":2,"area":null},{"id":"2403.11204","title":"Partitioned Neural Network Training via Synthetic Intermediate Labels","created":"2024-03-17","cited_by_count":1,"area":null},{"id":"2107.02526","title":"Intrinsic uncertainties and where to find them","created":"2021-07-06","cited_by_count":0,"area":null},{"id":"2107.06209","title":"Learning a Discriminant Latent Space with Neural Discriminant Analysis","created":"2021-07-13","cited_by_count":0,"area":null},{"id":"2111.14343","title":"Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data","created":"2021-11-29","cited_by_count":0,"area":null},{"id":"2112.09908","title":"Anomaly Discovery in Semantic Segmentation via Distillation Comparison Networks","created":"2021-12-18","cited_by_count":0,"area":null},{"id":"2207.08782","title":"Instance-Aware Observer Network for Out-of-Distribution Object Segmentation","created":"2022-07-18","cited_by_count":0,"area":null},{"id":"2301.00181","title":"Smooth Mathematical Function from Compact Neural Networks","created":"2022-12-31","cited_by_count":0,"area":null},{"id":"2512.09910","title":"Efficient Continual Learning in Neural Machine Translation: A Low-Rank Adaptation Approach","created":"2025-12-10","cited_by_count":0,"area":null}],"next_cursor":null}