Showing 1–20 of 34 results
/ Date/ Name
May 19, 2018Learning Sampling Policies for Domain AdaptationNov 6, 2018Deep Probabilistic Ensembles: Approximate Variational Inference through KL RegularizationJun 12, 2020Benchmarking Unsupervised Object Representations for Video SequencesDec 21, 2023DriveLM: Driving with Graph Visual Question AnsweringJun 4, 2025Pseudo-Simulation for Autonomous DrivingApr 28, 2022KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics GradientsMay 31, 2022TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous DrivingNov 8, 2018Large-Scale Visual Active Learning with Deep Probabilistic EnsemblesMar 14, 2025Centaur: Robust End-to-End Autonomous Driving with Test-Time TrainingJun 29, 2023End-to-end Autonomous Driving: Challenges and FrontiersAug 24, 2023On Offline Evaluation of 3D Object Detection for Autonomous DrivingMar 14, 2024GenAD: Generalized Predictive Model for Autonomous DrivingDec 23, 2025LEAD: Minimizing Learner-Expert Asymmetry in End-to-End DrivingOct 25, 2022PlanT: Explainable Planning Transformers via Object-Level RepresentationsDec 12, 2024Hidden Biases of End-to-End Driving DatasetsJun 21, 2024NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and BenchmarkingNov 21, 2025Agility Meets Stability: Versatile Humanoid Control with Heterogeneous DataJun 13, 2023Hidden Biases of End-to-End Driving ModelsJun 13, 2023Parting with Misconceptions about Learning-based Vehicle Motion PlanningJun 1, 2018Targeted Kernel Networks: Faster Convolutions with Attentive Regularization