{"list":"other","total":100,"rows":[{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"1602.05629","title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","created":"2016-02-17","cited_by_count":7669},{"id":"2111.06377","title":"Masked Autoencoders Are Scalable Vision Learners","created":"2021-11-11","cited_by_count":7403},{"id":"1612.00593","title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation","created":"2016-12-02","cited_by_count":5248},{"id":"1903.11027","title":"nuScenes: A multimodal dataset for autonomous driving","created":"2019-03-26","cited_by_count":4523},{"id":"1706.02413","title":"PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space","created":"2017-06-07","cited_by_count":4401},{"id":"1708.07747","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","created":"2017-08-25","cited_by_count":4349},{"id":"1912.04977","title":"Advances and Open Problems in Federated Learning","created":"2019-12-10","cited_by_count":3046},{"id":"1812.06127","title":"Federated Optimization in Heterogeneous Networks","created":"2018-12-14","cited_by_count":2987},{"id":"1912.04838","title":"Scalability in Perception for Autonomous Driving: Waymo Open Dataset","created":"2019-12-10","cited_by_count":2451},{"id":"2003.12039","title":"RAFT: Recurrent All-Pairs Field Transforms for Optical Flow","created":"2020-03-26","cited_by_count":2415},{"id":"1812.05784","title":"PointPillars: Fast Encoders for Object Detection from Point Clouds","created":"2018-12-14","cited_by_count":1715},{"id":"1908.07873","title":"Federated Learning: Challenges, Methods, and Future Directions","created":"2019-08-21","cited_by_count":1538},{"id":"1812.01754","title":"Moment Matching for Multi-Source Domain Adaptation","created":"2018-12-04","cited_by_count":1331},{"id":"1907.02189","title":"On the Convergence of FedAvg on Non-IID Data","created":"2019-07-04","cited_by_count":1229},{"id":"1706.07522","title":"Deep Hashing Network for Unsupervised Domain Adaptation","created":"2017-06-22","cited_by_count":1188},{"id":"1806.00582","title":"Federated Learning with Non-IID Data","created":"2018-06-02","cited_by_count":1108},{"id":"2003.00295","title":"Adaptive Federated Optimization","created":"2020-02-29","cited_by_count":1046},{"id":"2007.07481","title":"Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization","created":"2020-07-15","cited_by_count":906},{"id":"1909.06335","title":"Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification","created":"2019-09-13","cited_by_count":851},{"id":"1812.01097","title":"LEAF: A Benchmark for Federated Settings","created":"2018-12-03","cited_by_count":792},{"id":"2103.16257","title":"Model-Contrastive Federated Learning","created":"2021-03-30","cited_by_count":766},{"id":"2006.07242","title":"Ensemble Distillation for Robust Model Fusion in Federated Learning","created":"2020-06-12","cited_by_count":682},{"id":"2012.04221","title":"Ditto: Fair and Robust Federated Learning Through Personalization","created":"2020-12-08","cited_by_count":672},{"id":"2006.08848","title":"Personalized Federated Learning with Moreau Envelopes","created":"2020-06-16","cited_by_count":618},{"id":"1710.07035","title":"Generative Adversarial Networks: An Overview","created":"2017-10-19","cited_by_count":590},{"id":"2102.07623","title":"FedBN: Federated Learning on Non-IID Features via Local Batch Normalization","created":"2021-02-15","cited_by_count":571},{"id":"2002.06440","title":"Federated Learning with Matched Averaging","created":"2020-02-15","cited_by_count":564},{"id":"2111.04263","title":"Federated Learning Based on Dynamic Regularization","created":"2021-11-08","cited_by_count":562},{"id":"1912.00818","title":"Federated Learning with Personalization Layers","created":"2019-12-02","cited_by_count":541},{"id":"2102.07078","title":"Exploiting Shared Representations for Personalized Federated Learning","created":"2021-02-14","cited_by_count":541},{"id":"1910.01991","title":"Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints","created":"2019-10-04","cited_by_count":503},{"id":"1905.10497","title":"Fair Resource Allocation in Federated Learning","created":"2019-05-25","cited_by_count":394},{"id":"1905.12022","title":"Bayesian Nonparametric Federated Learning of Neural Networks","created":"2019-05-28","cited_by_count":387},{"id":"2105.10056","title":"Data-Free Knowledge Distillation for Heterogeneous Federated Learning","created":"2021-05-20","cited_by_count":383},{"id":"2203.10638","title":"V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer","created":"2022-03-20","cited_by_count":320},{"id":"2004.01804","title":"Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval","created":"2020-04-03","cited_by_count":309},{"id":"2007.13518","title":"FedML: A Research Library and Benchmark for Federated Machine Learning","created":"2020-07-27","cited_by_count":300},{"id":"2204.05575","title":"DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection","created":"2022-04-12","cited_by_count":273},{"id":"1909.12488","title":"Improving Federated Learning Personalization via Model Agnostic Meta Learning","created":"2019-09-27","cited_by_count":269},{"id":"2209.12836","title":"Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps","created":"2022-09-26","cited_by_count":255},{"id":"1806.01411","title":"FlowNet3D: Learning Scene Flow in 3D Point Clouds","created":"2018-06-04","cited_by_count":242},{"id":"2202.08449","title":"V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving","created":"2022-02-17","cited_by_count":157},{"id":"1911.02054","title":"Federated Adversarial Domain Adaptation","created":"2019-11-05","cited_by_count":140},{"id":"2105.11367","title":"FedScale: Benchmarking Model and System Performance of Federated Learning at Scale","created":"2021-05-24","cited_by_count":136},{"id":"2007.11142","title":"FLOT: Scene Flow on Point Clouds Guided by Optimal Transport","created":"2020-07-22","cited_by_count":129},{"id":"2210.04620","title":"FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings","created":"2022-10-10","cited_by_count":125},{"id":"2001.06202","title":"FedVision: An Online Visual Object Detection Platform Powered by Federated Learning","created":"2020-01-17","cited_by_count":124},{"id":"2012.00726","title":"RAFT-3D: Scene Flow using Rigid-Motion Embeddings","created":"2020-12-01","cited_by_count":122},{"id":"2212.01197","title":"FedALA: Adaptive Local Aggregation for Personalized Federated Learning","created":"2022-12-02","cited_by_count":122},{"id":"2305.05938","title":"V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting","created":"2023-05-10","cited_by_count":114},{"id":"1912.12147","title":"Cooperative Perception for 3D Object Detection in Driving Scenarios using Infrastructure Sensors","created":"2019-12-18","cited_by_count":110},{"id":"1906.05332","title":"HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds","created":"2019-06-12","cited_by_count":109},{"id":"1912.00497","title":"Just Go with the Flow: Self-Supervised Scene Flow Estimation","created":"2019-12-01","cited_by_count":98},{"id":"2203.13608","title":"Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task","created":"2022-03-25","cited_by_count":81},{"id":"1912.12844","title":"Variance Reduced Local SGD with Lower Communication Complexity","created":"2019-12-30","cited_by_count":80},{"id":"2302.13130","title":"Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting","created":"2023-02-25","cited_by_count":78},{"id":"2303.08498","title":"BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection","created":"2023-03-15","cited_by_count":75},{"id":"2011.10147","title":"FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation","created":"2020-11-19","cited_by_count":71},{"id":"2305.19229","title":"FedDisco: Federated Learning with Discrepancy-Aware Collaboration","created":"2023-05-30","cited_by_count":67},{"id":"2110.14216","title":"What Do We Mean by Generalization in Federated Learning?","created":"2021-10-27","cited_by_count":62},{"id":"2210.08061","title":"Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving","created":"2022-10-14","cited_by_count":59},{"id":"2206.09900","title":"Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders","created":"2022-06-20","cited_by_count":58},{"id":"2112.04680","title":"SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations","created":"2021-12-09","cited_by_count":55},{"id":"2103.01306","title":"Scalable Scene Flow from Point Clouds in the Real World","created":"2021-03-01","cited_by_count":50},{"id":"2104.08683","title":"Self-Supervised Pillar Motion Learning for Autonomous Driving","created":"2021-04-18","cited_by_count":44},{"id":"2206.03655","title":"pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning","created":"2022-06-08","cited_by_count":44},{"id":"2204.05562","title":"FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning","created":"2022-04-12","cited_by_count":43},{"id":"2009.10467","title":"Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion","created":"2020-09-22","cited_by_count":41},{"id":"2202.13670","title":"FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving","created":"2022-02-28","cited_by_count":41},{"id":"2207.07522","title":"Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation","created":"2022-07-15","cited_by_count":38},{"id":"2105.07751","title":"HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding","created":"2021-05-17","cited_by_count":36},{"id":"2210.02326","title":"Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning","created":"2022-10-05","cited_by_count":35},{"id":"1908.06316","title":"Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes","created":"2019-08-17","cited_by_count":27},{"id":"2210.07615","title":"FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning","created":"2022-10-14","cited_by_count":27},{"id":"2102.03401","title":"Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles","created":"2021-02-05","cited_by_count":26},{"id":"2106.02781","title":"IPS300+: a Challenging Multimodal Dataset for Intersection Perception System","created":"2021-06-05","cited_by_count":26},{"id":"2210.04458","title":"OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds","created":"2022-10-10","cited_by_count":25},{"id":"2304.11821","title":"Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving","created":"2023-04-24","cited_by_count":25},{"id":"2305.00314","title":"InfraDet3D: Multi-Modal 3D Object Detection based on Roadside Infrastructure Camera and LiDAR Sensors","created":"2023-04-29","cited_by_count":25},{"id":"2008.08136","title":"DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR","created":"2020-08-18","cited_by_count":24},{"id":"2208.03974","title":"Aerial Monocular 3D Object Detection","created":"2022-08-08","cited_by_count":23},{"id":"2311.02007","title":"Towards Unsupervised Object Detection From LiDAR Point Clouds","created":"2023-11-03","cited_by_count":23},{"id":"2207.08869","title":"FLAIR: Federated Learning Annotated Image Repository","created":"2022-07-18","cited_by_count":22},{"id":"1804.05195","title":"Motion-based Object Segmentation based on Dense RGB-D Scene Flow","created":"2018-04-14","cited_by_count":18},{"id":"2103.11879","title":"Real-time End-to-End Federated Learning: An Automotive Case Study","created":"2021-03-22","cited_by_count":15},{"id":"2206.01748","title":"Federated Deep Learning Meets Autonomous Vehicle Perception: Design and Verification","created":"2022-06-03","cited_by_count":14},{"id":"2304.01534","title":"FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems","created":"2023-04-04","cited_by_count":14},{"id":"2301.04829","title":"Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application","created":"2023-01-12","cited_by_count":11},{"id":"2204.00132","title":"Real-Time and Robust 3D Object Detection Within Road-Side LiDARs Using Domain Adaptation","created":"2022-03-31","cited_by_count":10},{"id":"1909.13587","title":"A Survey on Resource Allocation in Vehicular Networks","created":"2019-09-30","cited_by_count":9},{"id":"2006.15855","title":"Intelligent Task Offloading for Heterogeneous V2X Communications","created":"2020-06-29","cited_by_count":8},{"id":"2301.10732","title":"An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation","created":"2023-01-25","cited_by_count":7},{"id":"2306.17302","title":"Robust Roadside Perception: an Automated Data Synthesis Pipeline Minimizing Human Annotation","created":"2023-06-29","cited_by_count":6},{"id":"2401.11499","title":"Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals","created":"2024-01-21","cited_by_count":5},{"id":"2306.09266","title":"A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception","created":"2023-06-15","cited_by_count":4},{"id":"1802.05323","title":"A Security Credential Management System for V2X Communications","created":"2018-02-14","cited_by_count":1}],"next_cursor":null}