{"total":86,"rows":[{"id":"2107.03342","title":"A Survey of Uncertainty in Deep Neural Networks","created":"2021-07-07","cited_by_count":680,"area":null},{"id":"2102.02915","title":"How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned","created":"2021-02-04","cited_by_count":213,"area":null},{"id":"2108.00401","title":"Advances in adversarial attacks and defenses in computer vision: A survey","created":"2021-08-01","cited_by_count":127,"area":null},{"id":"2208.05129","title":"Robust Reinforcement Learning using Offline Data","created":"2022-08-10","cited_by_count":96,"area":null},{"id":"2209.08718","title":"Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields","created":"2022-09-19","cited_by_count":60,"area":null},{"id":"2101.00443","title":"Semantics for Robotic Mapping, Perception and Interaction: A Survey","created":"2021-01-02","cited_by_count":56,"area":null},{"id":"2303.02783","title":"Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning","created":"2023-03-05","cited_by_count":44,"area":null},{"id":"2110.15767","title":"Adversarial Robustness with Semi-Infinite Constrained Learning","created":"2021-10-29","cited_by_count":39,"area":null},{"id":"2307.08875","title":"Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation","created":"2023-07-17","cited_by_count":36,"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":"2201.01666","title":"Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation","created":"2022-01-05","cited_by_count":27,"area":null},{"id":"2104.01328","title":"Uncertainty for Identifying Open-Set Errors in Visual Object Detection","created":"2021-04-03","cited_by_count":26,"area":null},{"id":"2103.15254","title":"Bayesian Deep Basis Fitting for Depth Completion with Uncertainty","created":"2021-03-29","cited_by_count":23,"area":null},{"id":"2211.08701","title":"Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction","created":"2022-11-16","cited_by_count":22,"area":null},{"id":"2303.03757","title":"Deep Learning for Inertial Positioning: A Survey","created":"2023-03-07","cited_by_count":21,"area":null},{"id":"2107.06353","title":"Distributionally Robust Policy Learning via Adversarial Environment Generation","created":"2021-07-13","cited_by_count":17,"area":null},{"id":"2103.05041","title":"Advances in Inference and Representation for Simultaneous Localization and Mapping","created":"2021-03-08","cited_by_count":16,"area":null},{"id":"2102.12554","title":"Maximum Likelihood Constraint Inference from Stochastic Demonstrations","created":"2021-02-24","cited_by_count":15,"area":null},{"id":"2406.00430","title":"Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners","created":"2024-06-01","cited_by_count":15,"area":null},{"id":"2308.14039","title":"Deep Learning for Visual Localization and Mapping: A Survey","created":"2023-08-27","cited_by_count":14,"area":null},{"id":"2104.03893","title":"Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control","created":"2021-04-08","cited_by_count":13,"area":null},{"id":"2112.05341","title":"Hyperdimensional Feature Fusion for Out-Of-Distribution Detection","created":"2021-12-10","cited_by_count":13,"area":null},{"id":"2409.20557","title":"Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos","created":"2024-09-30","cited_by_count":12,"area":null},{"id":"2210.08487","title":"Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment","created":"2022-10-16","cited_by_count":11,"area":null},{"id":"2106.03158","title":"Transferring Knowledge from Text to Video: Zero-Shot Anticipation for Procedural Actions","created":"2021-06-06","cited_by_count":10,"area":null},{"id":"2309.12780","title":"LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition","created":"2023-09-22","cited_by_count":10,"area":null},{"id":"2103.00869","title":"Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning","created":"2021-03-01","cited_by_count":9,"area":null},{"id":"2603.16952","title":"Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies","created":"2026-03-16","cited_by_count":9,"area":null},{"id":"2105.00990","title":"Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials","created":"2021-05-03","cited_by_count":8,"area":null},{"id":"2208.04052","title":"Dataset of Industrial Metal Objects","created":"2022-08-08","cited_by_count":8,"area":null},{"id":"2305.05843","title":"MoCA: Memory-Centric, Adaptive Execution for Multi-Tenant Deep Neural Networks","created":"2023-05-10","cited_by_count":8,"area":null},{"id":"2112.06586","title":"Active learning with MaskAL reduces annotation effort for training Mask R-CNN","created":"2021-12-13","cited_by_count":7,"area":null},{"id":"2203.07662","title":"What's in the Black Box? The False Negative Mechanisms Inside Object Detectors","created":"2022-03-15","cited_by_count":7,"area":null},{"id":"2208.08307","title":"SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning","created":"2022-08-17","cited_by_count":7,"area":null},{"id":"2210.11318","title":"A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture","created":"2022-10-20","cited_by_count":6,"area":null},{"id":"2211.08368","title":"A Survey on the Integration of Machine Learning with Sampling-based Motion Planning","created":"2022-11-15","cited_by_count":6,"area":null},{"id":"2311.01457","title":"Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts","created":"2023-11-02","cited_by_count":6,"area":null},{"id":"2101.00468","title":"Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models","created":"2021-01-02","cited_by_count":5,"area":null},{"id":"2201.10967","title":"Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network","created":"2022-01-26","cited_by_count":5,"area":null},{"id":"2210.04686","title":"Utilizing Explainable AI for improving the Performance of Neural Networks","created":"2022-10-07","cited_by_count":5,"area":null},{"id":"2603.22786","title":"Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis","created":"2026-03-24","cited_by_count":5,"area":null},{"id":"2105.09095","title":"Aleatoric uncertainty for Errors-in-Variables models in deep regression","created":"2021-05-19","cited_by_count":4,"area":null},{"id":"2111.09808","title":"Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings","created":"2021-11-18","cited_by_count":4,"area":null},{"id":"2204.04674","title":"Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates","created":"2022-04-10","cited_by_count":4,"area":null},{"id":"2210.05952","title":"3D Brain and Heart Volume Generative Models: A Survey","created":"2022-10-12","cited_by_count":4,"area":null},{"id":"2302.13191","title":"DeepCPG Policies for Robot Locomotion","created":"2023-02-25","cited_by_count":4,"area":null},{"id":"2308.11236","title":"ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts","created":"2023-08-22","cited_by_count":4,"area":null},{"id":"2309.09518","title":"NOMAD: A Natural, Occluded, Multi-scale Aerial Dataset, for Emergency Response Scenarios","created":"2023-09-18","cited_by_count":4,"area":null},{"id":"2411.13945","title":"Neuromorphic Attitude Estimation and Control","created":"2024-11-21","cited_by_count":4,"area":null},{"id":"2101.05361","title":"Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions","created":"2021-01-13","cited_by_count":3,"area":null},{"id":"2204.13963","title":"Tailored Uncertainty Estimation for Deep Learning Systems","created":"2022-04-29","cited_by_count":3,"area":null},{"id":"2207.02241","title":"Guiding Machine Perception with Psychophysics","created":"2022-07-05","cited_by_count":3,"area":null},{"id":"2211.06233","title":"Comparison of Uncertainty Quantification with Deep Learning in Time Series Regression","created":"2022-11-11","cited_by_count":3,"area":null},{"id":"2101.12501","title":"Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust","created":"2021-01-29","cited_by_count":2,"area":null},{"id":"2103.16324","title":"Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning","created":"2021-03-30","cited_by_count":2,"area":null},{"id":"2203.05403","title":"Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input","created":"2022-03-10","cited_by_count":2,"area":null},{"id":"2208.01910","title":"Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living","created":"2022-08-03","cited_by_count":2,"area":null},{"id":"2210.01361","title":"Uncertainty-Aware Lidar Place Recognition in Novel Environments","created":"2022-10-04","cited_by_count":2,"area":null},{"id":"2410.23382","title":"Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity","created":"2024-10-30","cited_by_count":2,"area":null},{"id":"2111.08733","title":"Learning Provably Robust Motion Planners Using Funnel Libraries","created":"2021-11-16","cited_by_count":1,"area":null},{"id":"2111.08761","title":"Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data","created":"2021-11-16","cited_by_count":1,"area":null},{"id":"2205.07160","title":"Evaluating Uncertainty Calibration for Open-Set Recognition","created":"2022-05-15","cited_by_count":1,"area":null},{"id":"2210.02585","title":"Query The Agent: Improving sample efficiency through epistemic uncertainty estimation","created":"2022-10-05","cited_by_count":1,"area":null},{"id":"2211.08837","title":"RF-Annotate: Automatic RF-Supervised Image Annotation of Common Objects in Context","created":"2022-11-16","cited_by_count":1,"area":null},{"id":"2303.16952","title":"Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization","created":"2023-03-29","cited_by_count":1,"area":null},{"id":"2304.07073","title":"Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks","created":"2023-04-14","cited_by_count":1,"area":null},{"id":"2308.04299","title":"Actor-Critic with variable time discretization via sustained actions","created":"2023-08-08","cited_by_count":1,"area":null},{"id":"2309.10513","title":"Uncertainty Estimation in Instance Segmentation with Star-convex Shapes","created":"2023-09-19","cited_by_count":1,"area":null},{"id":"2312.01110","title":"Strong Duality Relations in Nonconvex Risk-Constrained Learning","created":"2023-12-02","cited_by_count":1,"area":null},{"id":"2404.13652","title":"BANSAI: Towards Bridging the AI Adoption Gap in Industrial Robotics with Neurosymbolic Programming","created":"2024-04-21","cited_by_count":1,"area":null},{"id":"2603.05111","title":"SPIRIT: Perceptive Shared Autonomy for Robust Robotic Manipulation under Deep Learning Uncertainty","created":"2026-03-05","cited_by_count":1,"area":null},{"id":"2103.09072","title":"Cognitive architecture aided by working-memory for self-supervised multi-modal humans recognition","created":"2021-03-16","cited_by_count":0,"area":null},{"id":"2109.07165","title":"3D Annotation Of Arbitrary Objects In The Wild","created":"2021-09-15","cited_by_count":0,"area":null},{"id":"2112.09854","title":"Space Non-cooperative Object Active Tracking with Deep Reinforcement Learning","created":"2021-12-18","cited_by_count":0,"area":null},{"id":"2204.12825","title":"Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles","created":"2022-04-27","cited_by_count":0,"area":null},{"id":"2207.14545","title":"A One-Shot Reparameterization Method for Reducing the Loss of Tile Pruning on DNNs","created":"2022-07-29","cited_by_count":0,"area":null},{"id":"2305.06657","title":"On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm","created":"2023-05-11","cited_by_count":0,"area":null},{"id":"2308.12785","title":"Single-shot Bayesian approximation for neural networks","created":"2023-08-24","cited_by_count":0,"area":null},{"id":"2308.14652","title":"Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm","created":"2023-08-28","cited_by_count":0,"area":null},{"id":"2309.16161","title":"Leveraging Untrustworthy Commands for Multi-Robot Coordination in Unpredictable Environments: A Bandit Submodular Maximization Approach","created":"2023-09-28","cited_by_count":0,"area":null},{"id":"2411.09892","title":"A Self-Supervised Robotic System for Autonomous Contact-Based Spatial Mapping of Semiconductor Properties","created":"2024-11-15","cited_by_count":0,"area":null},{"id":"2412.05553","title":"Psych-Occlusion: Using Visual Psychophysics for Aerial Detection of Occluded Persons during Search and Rescue","created":"2024-12-07","cited_by_count":0,"area":null},{"id":"2503.22291","title":"VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection","created":"2025-03-28","cited_by_count":0,"area":null},{"id":"2506.08756","title":"Bayesian Inverse Physics for Neuro-Symbolic Robot Learning","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2512.23318","title":"PCR-ORB: Enhanced ORB-SLAM3 with Point Cloud Refinement Using Deep Learning-Based Dynamic Object Filtering","created":"2025-12-29","cited_by_count":0,"area":null},{"id":"2609.05593","title":"Adaptive Cost-Sensitive Machine Learning for Autonomous Robot Navigation Failure Prediction: When Not All Errors Are Equal","created":"2026-09-04","cited_by_count":0,"area":null}],"next_cursor":null}