占用预测论文趋势 2023–2026
BEV 占用
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 298 篇被归入该主题的论文。
主要结论
- 占用预测论文从 2023 年的 44 篇增长到 2026 年的 103 篇,三年间扩大到约 2.3 倍。
- NeurIPS 是发占用预测论文最多的会议,2023–2026 年共 105 篇,占四个会议总量的 35%。
- 交叉方向里涨得最快的是强化学习:同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 5 篇。
- 在「自动驾驶」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的运动规划是 2.4 倍,占用预测是 2.3 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 10 | 6 | 12 | 16 | 44 |
| 2024 | 20 | 8 | 27 | 15 | 70 |
| 2025 | 28 | 18 | 19 | 16 | 81 |
| 2026 | 47 | 14 | 23 | 19 | 103 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026A Kernel Nonconformity Score for Multivariate Conformal Prediction
- ICML 2026Asymmetric conformal prediction with penalized kernel sum-of-squares
- ICLR 2026Conformal Prediction for Long-Tailed Classification
- CVPR 2026An Instance-Centric Panoptic Occupancy Prediction Benchmark for Autonomous Driving
- NeurIPS 2025Accident Anticipation via Temporal Occurrence Prediction
- ICML 2025Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
- ICLR 2025Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence
- CVPR 20253D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation
- NeurIPS 2024AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
- ICML 2024Auditing Private Prediction
- ICLR 2024Revisiting Link Prediction: a data perspective
- CVPR 2024PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
- NeurIPS 2023Calibrating “Cheap Signals” in Peer Review without a Prior
- ICML 2023Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
- ICLR 2023Batch Multivalid Conformal Prediction
- CVPR 2023Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement
- NeurIPS 2026AdaOcc: Adaptive 3D Occupancy Prediction for Embodied Tasks
- ICML 2026Improving Backward Conformal Prediction via Non-Conformity Score Transformation
- ICLR 2026How Stable is the Next Token? A Geometric View of LLM Prediction Stability
- CVPR 2026Detect Anything via Next Point Prediction
全部占用预测论文
共 81 篇,第 1 / 2 页
- ICML 2026Asymmetric conformal prediction with penalized kernel sum-of-squares
- ICML 2026Conditional Coverage Diagnostics for Conformal Prediction
- ICML 2026DDP-WM: Disentangled Dynamics Prediction for Efficient World Models
- ICML 2026Decision-Focused Learning via Tangent-Space Projection of Prediction Error
- ICML 2026Deep sequence models tend to memorize geometrically; it is unclear why
- ICML 2026DITING: A Weak Degradation Listener for Battery Lifetime Early Prediction
- ICML 2026Extending Prediction-Powered Inference through Conformal Prediction
- ICML 2026Flow for Future: Geometric SE(3)-Equivariant Flow Matching for 3D Trajectory Prediction
- ICML 2026HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction
- ICML 2026Improving Backward Conformal Prediction via Non-Conformity Score Transformation
- ICML 2026Mixing Configurations for Downstream Prediction
- ICML 2026NITP: Next Implicit Token Prediction for LLM Pre-training
- ICML 2026No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference
- ICML 2026On the Computational Complexity of Performative Prediction
- ICML 2026Optimal Decision-Making Based on Prediction Sets
- ICML 2026Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts
- ICML 2026Provably Label-Efficient Conformal Prediction
- ICML 2026Robust Bayes-Assisted Conformal Prediction
- ICML 2026SKETCH: Semantic Key-Point Conditioning for Long-Horizon Vessel Trajectory Prediction
- ICML 2026Spatial Conformal Inference through Localized Quantile Regression
- ICML 2026SpeedCP: Fast Kernel-based Conditional Conformal Prediction
- ICML 2026Stable Localized Conformal Prediction via Transduction
- ICML 2026TPV: Parameter Perturbations Through the Lens of Test Prediction Variance
- ICML 2025CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
- ICML 2025Conformal Prediction as Bayesian Quadrature
- ICML 2025Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
- ICML 2025Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
- ICML 2025Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
- ICML 2025Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
- ICML 2025FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
- ICML 2025False Coverage Proportion Control for Conformal Prediction
- ICML 2025Learnable Spatial-Temporal Positional Encoding for Link Prediction
- ICML 2025Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
- ICML 2025Optimal transport-based conformal prediction
- ICML 2025PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
- ICML 2025Position: The Future of Bayesian Prediction Is Prior-Fitted
- ICML 2025Prediction models that learn to avoid missing values
- ICML 2025Prediction-Powered Adaptive Shrinkage Estimation
- ICML 2025Prediction-Powered E-Values
- ICML 2025Rectifying Conformity Scores for Better Conditional Coverage
- ICML 2025SPHINX: Structural Prediction using Hypergraph Inference Network
- ICML 2025Volume Optimality in Conformal Prediction with Structured Prediction Sets
- ICML 2024A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
- ICML 2024Allocation Requires Prediction Only if Inequality Is Low
- ICML 2024Auditing Private Prediction
- ICML 2024Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process
- ICML 2024Beyond the Norms: Detecting Prediction Errors in Regression Models
- ICML 2024Certifiably Byzantine-Robust Federated Conformal Prediction
- ICML 2024Conformal Prediction for Deep Classifier via Label Ranking
- ICML 2024Conformal Prediction with Learned Features
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查占用预测在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "occupancy-prediction"}
常见问题
- 2023–2026 年四大会议一共有多少篇占用预测论文?
- 共 298 篇,按年份分别是 2023 年 44 篇、2024 年 70 篇、2025 年 81 篇、2026 年 103 篇。
- NeurIPS 2026 有多少篇占用预测论文?
- NeurIPS 2026 有 47 篇占用预测论文,上一届是 28 篇。
- ICLR 2026 有多少篇占用预测论文?
- ICLR 2026 有 14 篇占用预测论文,上一届是 18 篇。
- ICML 2026 有多少篇占用预测论文?
- ICML 2026 有 23 篇占用预测论文,上一届是 19 篇。
- CVPR 2026 有多少篇占用预测论文?
- CVPR 2026 有 19 篇占用预测论文,上一届是 16 篇。
- 哪个会议的占用预测论文最多?
- NeurIPS,2023–2026 年共 105 篇。