{"total":403,"rows":[{"id":"2112.08654","title":"Learning to Prompt for Continual Learning","created":"2021-12-16","cited_by_count":944,"area":null},{"id":"2304.00685","title":"Vision-Language Models for Vision Tasks: A Survey","created":"2023-04-03","cited_by_count":839,"area":"mllm"},{"id":"2311.12320","title":"A Survey on Multimodal Large Language Models for Autonomous Driving","created":"2023-11-21","cited_by_count":290,"area":"mllm"},{"id":"2310.01957","title":"Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving","created":"2023-10-03","cited_by_count":232,"area":"driving"},{"id":"2303.04226","title":"A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT","created":"2023-03-07","cited_by_count":224,"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":"2301.05603","title":"A Comprehensive Survey of Dataset Distillation","created":"2023-01-13","cited_by_count":115,"area":null},{"id":"2109.11676","title":"Theory of overparametrization in quantum neural networks","created":"2021-09-23","cited_by_count":100,"area":null},{"id":"2309.15698","title":"Deep Model Fusion: A Survey","created":"2023-09-27","cited_by_count":91,"area":null},{"id":"2209.10342","title":"Partially Observable Markov Decision Processes in Robotics: A Survey","created":"2022-09-21","cited_by_count":86,"area":null},{"id":"2101.06072","title":"Video Summarization Using Deep Neural Networks: A Survey","created":"2021-01-15","cited_by_count":85,"area":null},{"id":"2210.11584","title":"Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations","created":"2022-10-20","cited_by_count":85,"area":null},{"id":"2109.05211","title":"RobustART: Benchmarking Robustness on Architecture Design and Training Techniques","created":"2021-09-11","cited_by_count":79,"area":null},{"id":"2303.17220","title":"Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys","created":"2023-03-30","cited_by_count":75,"area":null},{"id":"2112.11561","title":"Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions","created":"2021-12-21","cited_by_count":73,"area":"driving"},{"id":"2202.03673","title":"Calibrated Learning to Defer with One-vs-All Classifiers","created":"2022-02-08","cited_by_count":69,"area":null},{"id":"2401.01454","title":"A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook","created":"2024-01-02","cited_by_count":66,"area":null},{"id":"2205.05878","title":"Training Uncertainty-Aware Classifiers with Conformalized Deep Learning","created":"2022-05-12","cited_by_count":64,"area":null},{"id":"2101.01993","title":"A Survey of Deep RL and IL for Autonomous Driving Policy Learning","created":"2021-01-06","cited_by_count":61,"area":"driving"},{"id":"2501.11260","title":"A Survey of World Models for Autonomous Driving","created":"2025-01-20","cited_by_count":60,"area":"wm"},{"id":"2101.00443","title":"Semantics for Robotic Mapping, Perception and Interaction: A Survey","created":"2021-01-02","cited_by_count":56,"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":"2205.09373","title":"Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection","created":"2022-05-19","cited_by_count":46,"area":null},{"id":"2312.04372","title":"LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs","created":"2023-12-07","cited_by_count":45,"area":"driving"},{"id":"2106.06431","title":"Offline Reinforcement Learning as Anti-Exploration","created":"2021-06-11","cited_by_count":44,"area":"offlinerl"},{"id":"2211.01866","title":"ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations","created":"2022-11-03","cited_by_count":44,"area":null},{"id":"2401.03641","title":"DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving","created":"2024-01-08","cited_by_count":43,"area":"driving"},{"id":"2308.10407","title":"Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges","created":"2023-08-21","cited_by_count":40,"area":null},{"id":"2106.05409","title":"Zero Time Waste: Recycling Predictions in Early Exit Neural Networks","created":"2021-06-09","cited_by_count":39,"area":"inference"},{"id":"2303.17297","title":"Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving","created":"2023-03-30","cited_by_count":37,"area":null},{"id":"2105.00149","title":"SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition","created":"2021-05-01","cited_by_count":36,"area":null},{"id":"2105.14291","title":"Deep Learning on Monocular Object Pose Detection and Tracking: A Comprehensive Overview","created":"2021-05-29","cited_by_count":31,"area":null},{"id":"2304.10423","title":"Fully Autonomous Programming with Large Language Models","created":"2023-04-20","cited_by_count":31,"area":null},{"id":"2204.01586","title":"Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image","created":"2022-04-04","cited_by_count":30,"area":null},{"id":"2212.01051","title":"VeriX: Towards Verified Explainability of Deep Neural Networks","created":"2022-12-02","cited_by_count":30,"area":null},{"id":"2308.05731","title":"The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review","created":"2023-08-10","cited_by_count":29,"area":null},{"id":"2201.08956","title":"The Many Faces of Adversarial Risk","created":"2022-01-22","cited_by_count":28,"area":null},{"id":"2402.10727","title":"From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation","created":"2024-02-16","cited_by_count":28,"area":null},{"id":"2108.13179","title":"Reachability Is NP-Complete Even for the Simplest Neural Networks","created":"2021-08-30","cited_by_count":27,"area":null},{"id":"2104.05314","title":"Machine learning and deep learning","created":"2021-04-12","cited_by_count":26,"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":"2311.01106","title":"In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer","created":"2023-11-02","cited_by_count":26,"area":null},{"id":"2311.11056","title":"Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving","created":"2023-11-18","cited_by_count":26,"area":null},{"id":"2405.05553","title":"Towards Robust Physical-world Backdoor Attacks on Lane Detection","created":"2024-05-09","cited_by_count":26,"area":null},{"id":"2102.01862","title":"Towards Robust Neural Networks via Close-loop Control","created":"2021-02-03","cited_by_count":23,"area":null},{"id":"2202.02326","title":"Towards Training Reproducible Deep Learning Models","created":"2022-02-04","cited_by_count":23,"area":null},{"id":"2207.02431","title":"GAMa: Cross-view Video Geo-localization","created":"2022-07-06","cited_by_count":23,"area":null},{"id":"2311.16681","title":"Understanding the (Extra-)Ordinary: Validating Deep Model Decisions with Prototypical Concept-based Explanations","created":"2023-11-28","cited_by_count":22,"area":null},{"id":"2510.11083","title":"Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling","created":"2025-10-13","cited_by_count":22,"area":"diffusion"},{"id":"2102.05311","title":"CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection","created":"2021-02-10","cited_by_count":21,"area":null},{"id":"2202.04781","title":"Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios","created":"2022-02-10","cited_by_count":20,"area":null},{"id":"2203.11405","title":"Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception","created":"2022-03-22","cited_by_count":20,"area":null},{"id":"2206.12381","title":"Defending Backdoor Attacks on Vision Transformer via Patch Processing","created":"2022-06-24","cited_by_count":20,"area":"safety"},{"id":"2306.12306","title":"Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift","created":"2023-06-21","cited_by_count":20,"area":null},{"id":"2401.07187","title":"A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models","created":"2024-01-14","cited_by_count":20,"area":null},{"id":"2112.02459","title":"SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction","created":"2021-12-05","cited_by_count":19,"area":null},{"id":"2308.11990","title":"RankMixup: Ranking-Based Mixup Training for Network Calibration","created":"2023-08-23","cited_by_count":19,"area":null},{"id":"2104.08885","title":"A survey of image labelling for computer vision applications","created":"2021-04-18","cited_by_count":18,"area":null},{"id":"2110.08247","title":"Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks","created":"2021-10-15","cited_by_count":18,"area":"safety"},{"id":"2208.11613","title":"Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries","created":"2022-08-24","cited_by_count":18,"area":null},{"id":"2302.04634","title":"Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study","created":"2023-02-06","cited_by_count":18,"area":null},{"id":"2503.13861","title":"RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving","created":"2025-03-18","cited_by_count":18,"area":"mllm"},{"id":"2101.10254","title":"Multi-task Learning Approach for Automatic Modulation and Wireless Signal Classification","created":"2021-01-25","cited_by_count":17,"area":null},{"id":"2110.11809","title":"PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels","created":"2021-10-22","cited_by_count":17,"area":null},{"id":"2212.02531","title":"Enhancing Quantum Adversarial Robustness by Randomized Encodings","created":"2022-12-05","cited_by_count":17,"area":null},{"id":"2303.05072","title":"Identification of Systematic Errors of Image Classifiers on Rare Subgroups","created":"2023-03-09","cited_by_count":17,"area":null},{"id":"2303.10677","title":"A Survey of Federated Learning for Connected and Automated Vehicles","created":"2023-03-19","cited_by_count":17,"area":null},{"id":"2407.12940","title":"KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation","created":"2024-07-17","cited_by_count":17,"area":null},{"id":"2102.04738","title":"End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving","created":"2021-02-09","cited_by_count":16,"area":"driving"},{"id":"2211.14736","title":"Attribution-based XAI Methods in Computer Vision: A Review","created":"2022-11-27","cited_by_count":16,"area":null},{"id":"2306.08271","title":"Multiclass Confidence and Localization Calibration for Object Detection","created":"2023-06-14","cited_by_count":16,"area":null},{"id":"2412.02682","title":"The Asymptotic Behavior of Attention in Transformers","created":"2024-12-03","cited_by_count":16,"area":null},{"id":"2308.11911","title":"ACLS: Adaptive and Conditional Label Smoothing for Network Calibration","created":"2023-08-23","cited_by_count":15,"area":null},{"id":"2304.14271","title":"A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services","created":"2023-04-13","cited_by_count":14,"area":null},{"id":"2306.00419","title":"Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond","created":"2023-06-01","cited_by_count":14,"area":null},{"id":"2308.13998","title":"Computation-efficient Deep Learning for Computer Vision: A Survey","created":"2023-08-27","cited_by_count":14,"area":null},{"id":"2109.04344","title":"EvilModel 2.0: Bringing Neural Network Models into Malware Attacks","created":"2021-09-09","cited_by_count":13,"area":null},{"id":"2110.07699","title":"Safe Autonomous Racing via Approximate Reachability on Ego-vision","created":"2021-10-14","cited_by_count":13,"area":null},{"id":"2111.02331","title":"LTD: Low Temperature Distillation for Gradient Masking-free Adversarial Training","created":"2021-11-03","cited_by_count":13,"area":null},{"id":"2203.10939","title":"Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review","created":"2022-03-07","cited_by_count":13,"area":null},{"id":"2308.09040","title":"SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning","created":"2023-08-17","cited_by_count":13,"area":null},{"id":"2402.05806","title":"On Temperature Scaling and Conformal Prediction of Deep Classifiers","created":"2024-02-08","cited_by_count":13,"area":null},{"id":"2405.09111","title":"CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving","created":"2024-05-15","cited_by_count":13,"area":"wm"},{"id":"2407.06844","title":"Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration","created":"2024-07-09","cited_by_count":13,"area":null},{"id":"2412.11174","title":"Semi-Supervised Risk Control via Prediction-Powered Inference","created":"2024-12-15","cited_by_count":13,"area":null},{"id":"2506.17629","title":"CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Reasoning","created":"2025-06-21","cited_by_count":13,"area":"lr"},{"id":"2112.13544","title":"FitAct: Error Resilient Deep Neural Networks via Fine-Grained Post-Trainable Activation Functions","created":"2021-12-27","cited_by_count":12,"area":null},{"id":"2204.11075","title":"Smart App Attack: Hacking Deep Learning Models in Android Apps","created":"2022-04-23","cited_by_count":12,"area":null},{"id":"2303.14404","title":"Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection","created":"2023-03-25","cited_by_count":12,"area":null},{"id":"2404.08154","title":"Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization","created":"2024-04-11","cited_by_count":12,"area":null},{"id":"2203.03282","title":"Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks","created":"2022-03-07","cited_by_count":11,"area":null},{"id":"2206.06304","title":"Multi-user Co-inference with Batch Processing Capable Edge Server","created":"2022-06-03","cited_by_count":11,"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":"2210.12878","title":"IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes","created":"2022-10-23","cited_by_count":11,"area":null},{"id":"2303.04878","title":"DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks","created":"2023-03-08","cited_by_count":11,"area":null},{"id":"2307.09472","title":"GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping","created":"2023-07-18","cited_by_count":11,"area":null},{"id":"2311.03570","title":"Cal-DETR: Calibrated Detection Transformer","created":"2023-11-06","cited_by_count":11,"area":null},{"id":"2311.04550","title":"Regression with Cost-based Rejection","created":"2023-11-08","cited_by_count":11,"area":null},{"id":"2404.18573","title":"Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification","created":"2024-04-29","cited_by_count":11,"area":null},{"id":"2405.20459","title":"On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines","created":"2024-05-30","cited_by_count":11,"area":null}],"next_cursor":"100"}