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类型 Paper 108 Benchmark 4 Dataset 2 Code 4 Formalization 68 Claim 29 Evidence 38 Concept 33 Conflict 1 Verification 19 Synthesis 3 Disambiguation 4 Index 1 Figure 2 Example 1 Lifecycle extracted formalized reconciled Epistemic n/a partially-supported supported unverified 112 命中
PPR-1503.03585 Deep Unsupervised Learning using Nonequilibrium Thermodynamics以非平衡热力学解释深度无监督学习(Sohl-Dickstein et al., ICML 2015);扩散的概率奠基。 Paper extracted n/a
PPR-1709.07871 FiLM: Visual Reasoning with a General Conditioning LayerFiLM 原始论文(Perez et al., AAAI 2018):提出 feature-wise affine 调制(γ/β 由条件回归、逐特征仿射)——DiT adaLN(CPT-007)回归 γ/β 思想的直接来源。 Paper extracted n/a
PPR-1807.00412 Learning to Drive in a Day一天内学会驾驶的端到端学习(Kendall et al., ICRA 2019);真实城市道路少样本驾驶策略。 Paper extracted n/a
PPR-1807.08048 Baidu Apollo EM Motion Planner百度 Apollo EM Motion Planner(工业量产运动规划模块);G2DP 的工业规划参照。 Paper extracted n/a
PPR-1812.03079 ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst以模仿学习训练驾驶策略(Bansal et al., RSS 2019):学最佳示范、合成最坏失败。 Paper extracted n/a
PPR-2006.11239 Denoising Diffusion Probabilistic Models去噪扩散概率模型(DDPM)奠基作(Ho et al., NeurIPS 2020);扩散生成的马尔可夫链框架。 Paper extracted n/a
PPR-2106.11810 nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles自动驾驶闭环机器学习规划基准 nuPlan(Caesar et al.);G2DP 的主评测基准。 Paper extracted n/a
PPR-2207.12598 Classifier-Free Diffusion GuidanceClassifier-Free Guidance 提出作(Ho, arXiv 2022);条件扩散的标准引导做法。 Paper extracted n/a
PPR-2601.04453 UniDrive-WM: Unified Understanding, Planning and Generation World Model For Autonomous Driving自动驾驶统一理解-规划-生成世界模型 UniDrive-WM(Xiong et al.)。 Paper extracted n/a
PPR-2603.08199 Fusion-Poly: A Polyhedral Framework Based on Spatial-Temporal Fusion for 3D Multi-Object Tracking基于时空融合的多面体 3D 多目标跟踪(Wu et al.)。 Paper extracted n/a
PPR-2604.04198 DriveVA: Video Action Models are Zero-Shot Drivers视频动作模型作零样本驱动器(Liu et al.)。 Paper extracted n/a
PPR-2607.13028 TerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at Scale程序化驾驶仿真支撑大规模零演示自播放(Wu et al.)。 Paper extracted n/a