{"list":"other","total":103,"rows":[{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2106.09685","title":"LoRA: Low-Rank Adaptation of Large Language Models","created":"2021-06-17","cited_by_count":14380},{"id":"1710.10903","title":"Graph Attention Networks","created":"2017-10-30","cited_by_count":8923},{"id":"1807.03748","title":"Representation Learning with Contrastive Predictive Coding","created":"2018-07-10","cited_by_count":7777},{"id":"2001.08361","title":"Scaling Laws for Neural Language Models","created":"2020-01-23","cited_by_count":6586},{"id":"1710.09412","title":"mixup: Beyond Empirical Risk Minimization","created":"2017-10-25","cited_by_count":5183},{"id":"1406.1078","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","created":"2014-06-03","cited_by_count":4057},{"id":"1312.6114","title":"Auto-Encoding Variational Bayes","created":"2013-12-20","cited_by_count":4053},{"id":"1701.06538","title":"Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer","created":"2017-01-23","cited_by_count":3509},{"id":"2203.15556","title":"Training Compute-Optimal Large Language Models","created":"2022-03-29","cited_by_count":3019},{"id":"2406.09246","title":"OpenVLA: An Open-Source Vision-Language-Action Model","created":"2024-06-13","cited_by_count":2887},{"id":"1907.02893","title":"Invariant Risk Minimization","created":"2019-07-05","cited_by_count":1854},{"id":"2210.02303","title":"Imagen Video: High Definition Video Generation with Diffusion Models","created":"2022-10-05","cited_by_count":1778},{"id":"2209.14792","title":"Make-A-Video: Text-to-Video Generation without Text-Video Data","created":"2022-09-29","cited_by_count":1742},{"id":"1708.04552","title":"Improved Regularization of Convolutional Neural Networks with Cutout","created":"2017-08-15","cited_by_count":1628},{"id":"1806.01261","title":"Relational inductive biases, deep learning, and graph networks","created":"2018-06-04","cited_by_count":1360},{"id":"1812.00420","title":"Efficient Lifelong Learning with A-GEM","created":"2018-12-02","cited_by_count":1058},{"id":"1604.07316","title":"End to End Learning for Self-Driving Cars","created":"2016-04-25","cited_by_count":1009},{"id":"2205.15868","title":"CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers","created":"2022-05-29","cited_by_count":985},{"id":"2110.11334","title":"Generalized Out-of-Distribution Detection: A Survey","created":"2021-10-21","cited_by_count":802},{"id":"2301.00493","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","created":"2023-01-02","cited_by_count":707},{"id":"2104.10157","title":"VideoGPT: Video Generation using VQ-VAE and Transformers","created":"2021-04-20","cited_by_count":658},{"id":"2211.11018","title":"MagicVideo: Efficient Video Generation With Latent Diffusion Models","created":"2022-11-20","cited_by_count":465},{"id":"2310.06114","title":"Learning Interactive Real-World Simulators","created":"2023-10-09","cited_by_count":458},{"id":"1910.05449","title":"MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction","created":"2019-10-12","cited_by_count":420},{"id":"1812.03079","title":"ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst","created":"2018-12-07","cited_by_count":397},{"id":"1804.08838","title":"Measuring the Intrinsic Dimension of Objective Landscapes","created":"2018-04-24","cited_by_count":370},{"id":"2406.15349","title":"NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking","created":"2024-06-21","cited_by_count":354},{"id":"2008.08294","title":"TNT: Target-driveN Trajectory Prediction","created":"2020-08-19","cited_by_count":347},{"id":"2203.17054","title":"BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection","created":"2022-03-31","cited_by_count":341},{"id":"2304.08466","title":"Synthetic Data from Diffusion Models Improves ImageNet Classification","created":"2023-04-17","cited_by_count":327},{"id":"2310.02601","title":"MagicDrive: Street View Generation with Diverse 3D Geometry Control","created":"2023-10-04","cited_by_count":252},{"id":"1710.11252","title":"Stochastic Variational Video Prediction","created":"2017-10-30","cited_by_count":234},{"id":"1910.03088","title":"INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps","created":"2019-09-30","cited_by_count":231},{"id":"2106.13228","title":"HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields","created":"2021-06-24","cited_by_count":214},{"id":"2103.01946","title":"Fixing Data Augmentation to Improve Adversarial Robustness","created":"2021-03-02","cited_by_count":204},{"id":"2202.10571","title":"Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks","created":"2022-02-21","cited_by_count":186},{"id":"2112.10684","title":"Efficient Large Scale Language Modeling with Mixtures of Experts","created":"2021-12-20","cited_by_count":175},{"id":"2002.06289","title":"3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans","created":"2020-02-15","cited_by_count":144},{"id":"2303.05760","title":"GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving","created":"2023-03-10","cited_by_count":141},{"id":"2206.07696","title":"Diffusion Models for Video Prediction and Infilling","created":"2022-06-15","cited_by_count":135},{"id":"2311.12754","title":"SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction","created":"2023-11-21","cited_by_count":133},{"id":"2503.07656","title":"DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving","created":"2025-03-07","cited_by_count":126},{"id":"2306.04988","title":"StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views","created":"2023-06-08","cited_by_count":120},{"id":"2306.06344","title":"Language-Guided Traffic Simulation via Scene-Level Diffusion","created":"2023-06-10","cited_by_count":111},{"id":"2305.14018","title":"Sparse4D v2: Recurrent Temporal Fusion with Sparse Model","created":"2023-05-23","cited_by_count":93},{"id":"2307.07947","title":"Language Conditioned Traffic Generation","created":"2023-07-16","cited_by_count":87},{"id":"2402.17139","title":"Video as the New Language for Real-World Decision Making","created":"2024-02-27","cited_by_count":87},{"id":"1907.07792","title":"GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving","created":"2019-07-17","cited_by_count":73},{"id":"2310.08370","title":"UniPAD: A Universal Pre-training Paradigm for Autonomous Driving","created":"2023-10-12","cited_by_count":73},{"id":"2403.20309","title":"InstantSplat: Sparse-view Gaussian Splatting in Seconds","created":"2024-03-29","cited_by_count":70},{"id":"2410.20030","title":"SCube: Instant Large-Scale Scene Reconstruction using VoxSplats","created":"2024-10-26","cited_by_count":60},{"id":"2302.10326","title":"Unsupervised Out-of-Distribution Detection with Diffusion Inpainting","created":"2023-02-20","cited_by_count":59},{"id":"2107.07224","title":"StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN","created":"2021-07-15","cited_by_count":47},{"id":"2310.05885","title":"DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving","created":"2023-10-09","cited_by_count":46},{"id":"2312.13303","title":"RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios","created":"2023-12-19","cited_by_count":46},{"id":"2312.09243","title":"OccNeRF: Advancing 3D Occupancy Prediction in LiDAR-Free Environments","created":"2023-12-14","cited_by_count":41},{"id":"1911.12250","title":"Social Attention for Autonomous Decision-Making in Dense Traffic","created":"2019-11-27","cited_by_count":39},{"id":"2305.04412","title":"Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors","created":"2023-05-08","cited_by_count":36},{"id":"1608.01230","title":"Learning a Driving Simulator","created":"2016-08-03","cited_by_count":33},{"id":"2212.14020","title":"A System-Level View on Out-of-Distribution Data in Robotics","created":"2022-12-28","cited_by_count":33},{"id":"2406.12095","title":"DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features","created":"2024-06-17","cited_by_count":33},{"id":"2009.07517","title":"MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control","created":"2020-09-16","cited_by_count":30},{"id":"1806.00109","title":"Probabilistically Safe Robot Planning with Confidence-Based Human Predictions","created":"2018-05-31","cited_by_count":28},{"id":"2309.14685","title":"DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch","created":"2023-09-26","cited_by_count":27},{"id":"2409.18031","title":"Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving","created":"2024-09-26","cited_by_count":27},{"id":"2301.11902","title":"Tree-structured Policy Planning with Learned Behavior Models","created":"2023-01-27","cited_by_count":24},{"id":"2112.00964","title":"A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation","created":"2021-12-02","cited_by_count":21},{"id":"2202.05140","title":"Transferable and Adaptable Driving Behavior Prediction","created":"2022-02-10","cited_by_count":20},{"id":"2401.12275","title":"Multi-Agent Dynamic Relational Reasoning for Social Robot Navigation","created":"2024-01-22","cited_by_count":20},{"id":"2409.05863","title":"Promptable Closed-loop Traffic Simulation","created":"2024-09-09","cited_by_count":20},{"id":"2404.13816","title":"Neural Radiance Field in Autonomous Driving: A Survey","created":"2024-04-22","cited_by_count":19},{"id":"2204.13319","title":"Control-Aware Prediction Objectives for Autonomous Driving","created":"2022-04-28","cited_by_count":18},{"id":"2309.10121","title":"Pre-training on Synthetic Driving Data for Trajectory Prediction","created":"2023-09-18","cited_by_count":18},{"id":"2004.03053","title":"Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction","created":"2020-04-07","cited_by_count":17},{"id":"2405.01333","title":"NeRFs in Robotics: A Survey","created":"2024-05-02","cited_by_count":16},{"id":"2406.04426","title":"DeTra: A Unified Model for Object Detection and Trajectory Forecasting","created":"2024-06-06","cited_by_count":15},{"id":"2310.18301","title":"Interactive Joint Planning for Autonomous Vehicles","created":"2023-10-27","cited_by_count":13},{"id":"2107.10297","title":"Rethinking Trajectory Forecasting Evaluation","created":"2021-07-21","cited_by_count":11},{"id":"2111.00788","title":"Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction","created":"2021-11-01","cited_by_count":10},{"id":"2208.05470","title":"EvolveHypergraph: Group-Aware Dynamic Relational Reasoning for Trajectory Prediction","created":"2022-08-10","cited_by_count":10},{"id":"2311.18307","title":"Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent","created":"2023-11-30","cited_by_count":10},{"id":"2407.17460","title":"SoNIC: Safe Social Navigation with Adaptive Conformal Inference and Constrained Reinforcement Learning","created":"2024-07-24","cited_by_count":9},{"id":"2412.00420","title":"TAROT: Targeted Data Selection via Optimal Transport","created":"2024-11-30","cited_by_count":9},{"id":"2210.04672","title":"Exploiting map information for self-supervised learning in motion forecasting","created":"2022-10-10","cited_by_count":8},{"id":"2410.08669","title":"SmartPretrain: Model-Agnostic and Dataset-Agnostic Representation Learning for Motion Prediction","created":"2024-10-11","cited_by_count":7},{"id":"2505.08854","title":"Generative AI for Autonomous Driving: Frontiers and Opportunities","created":"2025-05-13","cited_by_count":7},{"id":"2112.06129","title":"Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction","created":"2021-12-09","cited_by_count":6},{"id":"2302.08669","title":"Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories","created":"2023-02-17","cited_by_count":6},{"id":"2503.10605","title":"OCCUQ: Exploring Efficient Uncertainty Quantification for 3D Occupancy Prediction","created":"2025-03-13","cited_by_count":6},{"id":"1809.05680","title":"A New Multi-vehicle Trajectory Generator to Simulate Vehicle-to-Vehicle Encounters","created":"2018-09-15","cited_by_count":5},{"id":"2505.04480","title":"TrajEvo: Designing Trajectory Prediction Heuristics via LLM-driven Evolution","created":"2025-05-07","cited_by_count":5},{"id":"1909.05089","title":"Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration","created":"2019-09-11","cited_by_count":4},{"id":"2410.09681","title":"LoRD: Adapting Differentiable Driving Policies to Distribution Shifts","created":"2024-10-13","cited_by_count":4},{"id":"2003.03480","title":"A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction","created":"2020-03-07","cited_by_count":3},{"id":"2401.17399","title":"ATPPNet: Attention based Temporal Point cloud Prediction Network","created":"2024-01-30","cited_by_count":3},{"id":"2411.09451","title":"DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing","created":"2024-11-14","cited_by_count":3},{"id":"2207.11432","title":"Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving","created":"2022-07-23","cited_by_count":2},{"id":"2405.11139","title":"RuleFuser: An Evidential Bayes Approach for Rule Injection in Imitation Learned Planners and Predictors for Robustness under Distribution Shifts","created":"2024-05-18","cited_by_count":2},{"id":"2410.23382","title":"Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity","created":"2024-10-30","cited_by_count":2}],"next_cursor":"100"}