点击率预测论文趋势 2023–2026
CTR 模型
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 940 篇被归入该主题的论文。
主要结论
- 点击率预测论文从 2023 年的 124 篇增长到 2026 年的 319 篇,三年间扩大到约 2.6 倍。
- NeurIPS 是发点击率预测论文最多的会议,2023–2026 年共 344 篇,占四个会议总量的 37%。
- 交叉方向里涨得最快的是多模态大模型:同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 26 篇。
- 在「推荐与广告」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的因果推荐是 2.3 倍,点击率预测是 2.6 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 36 | 20 | 32 | 36 | 124 |
| 2024 | 85 | 33 | 77 | 31 | 226 |
| 2025 | 105 | 57 | 65 | 44 | 271 |
| 2026 | 118 | 56 | 77 | 68 | 319 |
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 Comprehensive View of Fairness through Distributional Stability
- ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
- ICLR 2026Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference
- CVPR 2026DepthFocus Controllable Depth Estimation for See-Through Scenes
- NeurIPS 2025Accident Anticipation via Temporal Occurrence Prediction
- ICML 2025Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
- ICLR 2025Agree to Disagree: Demystifying Homogeneous Deep Ensembles through Distributional Equivalence
- CVPR 2025Adapting to Observation Length of Trajectory Prediction via Contrastive Learning
- NeurIPS 2024[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
- ICML 2024Auditing Private Prediction
- ICLR 2024Domain constraints improve risk prediction when outcome data is missing
- CVPR 2024Enhancing Post-training Quantization Calibration through Contrastive Learning
- NeurIPS 2023Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
- ICML 2023Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
- ICLR 2023Agree to Disagree: Diversity through Disagreement for Better Transferability
- CVPR 2023Computational Flash Photography Through Intrinsics
- NeurIPS 2026A Kernel Nonconformity Score for Multivariate Conformal Prediction
- ICML 2026Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning
- ICLR 2026Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz Lens
- CVPR 2026Detect Anything via Next Point Prediction
全部点击率预测论文
共 118 篇,第 2 / 3 页
- NeurIPS 2026Human-AI Teaming Through the Lens of Calibration
- NeurIPS 2026ICAT: Incident-Case–Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models
- NeurIPS 2026Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Prediction
- NeurIPS 2026Invariant Hyperbolic Unfolding: Radial Canonicalization for Label-Free Cross-Graph Link Prediction
- NeurIPS 2026Knowing Without Saying: How Contextual Evidence Survives but Fails to Surface in Transformers
- NeurIPS 2026Language Models Need Sleep
- NeurIPS 2026LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer?
- NeurIPS 2026Learning Causal Orderings for In-Context Tabular Prediction
- NeurIPS 2026Long-Range Spatio-Temporal Graph Propagation Through Oscillations
- NeurIPS 2026Mental Health AI Must Move Beyond Diagnostic Prediction and Chat-Based Support: Toward Perspective-Aware, Multisensory Co-Experience
- NeurIPS 2026Meta$^n$: Recursive Self-Improvement through Emergent Depth
- NeurIPS 2026MOOD: Benchmarking Post-Hoc OOD Detection for Materials Property Prediction
- NeurIPS 2026Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
- NeurIPS 2026Multilateral Resistance-Guided Graph Message Passing for Trade Flow Prediction
- NeurIPS 2026Mutual Predictability Decomposition: Learning Interpretable Cross-Set Structure via Bi-Directional Prediction
- NeurIPS 2026NanoFold: Designing Reproducible Protein Structure Benchmarks through Principled Sampling
- NeurIPS 2026Next-Latent Prediction Transformers Learn Compact World Models
- NeurIPS 2026Offloading Score: Measuring AI Reliance through Counterfactual Workflows
- NeurIPS 2026On the Information Loss of Multi-Token Prediction: Origin and Solution
- NeurIPS 2026One-Layer Transformers Provably Learn In-Context K-Nearest Neighbor Prediction with Chain-of-Thought
- NeurIPS 2026Online Localized Conformal Prediction
- NeurIPS 2026Partially Performative Prediction
- NeurIPS 2026Pathway-Aligned Regulator Tokens for Interpretable Spatial Gene Expression Prediction from Histologyatial Transcriptomics Prediction from Histology
- NeurIPS 2026PDHFormer: Progressive Dual-Head Transformer for Behavioral Choice Prediction
- NeurIPS 2026PepDDG: Peptide–Protein Binding ΔΔ𝐺 Prediction via Information Channel Decomposition
- NeurIPS 2026PepSpecBench: A Unified Evaluation Benchmark for Peptide Tandem Mass Spectrometry Prediction
- NeurIPS 2026Persuasive Prediction via Decision Calibration
- NeurIPS 2026Prediction-Augmented Trees for Reliable Statistical Inference
- NeurIPS 2026Prediction-Powered Active Testing
- NeurIPS 2026Preserving DEG Rankings for Gene Discovery in Histology-Based Spatial Gene Expression Prediction
- NeurIPS 2026Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction–Reality Gaps
- NeurIPS 2026Quantitative Assessment of Crystal Structure Prediction
- NeurIPS 2026RATS! Patches Talk Through Registers: Emergent Parts in Register Attention Transformers
- NeurIPS 2026Reaching a Consensus in Predictive Loops
- NeurIPS 2026Refinement as a Service: Algorithmic Predictor Refinement
- NeurIPS 2026Reinforced Fast Weights via Next-Sequence Prediction
- NeurIPS 2026Residual Calibration via Local Feature-Space Refinement
- NeurIPS 2026Rethinking CT Synthesis through Semantics-Structure Alignment
- NeurIPS 2026Rethinking State Tracking in Recurrent Models Through Error Control Dynamics
- NeurIPS 2026Risk Horizons: Structured Hypothesis Spaces for Longitudinal Clinical Prediction
- NeurIPS 2026Robust Conditional Conformal Prediction via Branched Normalizing Flow
- NeurIPS 2026Scaffold3D: SfM-Conditioned Pointmap Prediction for Multi-View 3D Reconstruction
- NeurIPS 2026Severity-Controlled Prediction Sets for Medication Recommendation
- NeurIPS 2026SIEVES: Selective Prediction Generalizes through Visual Evidence Scoring
- NeurIPS 2026SimVLA: Attributing Gains in VLA Models Through Controlled Ablation
- NeurIPS 2026SolvMix: Learning Formulation-State Landscapes for Liquid Electrolyte Conductivity Prediction
- NeurIPS 2026SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings
- NeurIPS 2026Statistical Complexity of Soft Bellman Residual Minimization
- NeurIPS 2026Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability
- NeurIPS 2026Strengthening LLMs for Tabular Prediction with Structural Priors
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 查点击率预测在 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": "click-through-prediction"}
常见问题
- 2023–2026 年四大会议一共有多少篇点击率预测论文?
- 共 940 篇,按年份分别是 2023 年 124 篇、2024 年 226 篇、2025 年 271 篇、2026 年 319 篇。
- NeurIPS 2026 有多少篇点击率预测论文?
- NeurIPS 2026 有 118 篇点击率预测论文,上一届是 105 篇。
- ICLR 2026 有多少篇点击率预测论文?
- ICLR 2026 有 56 篇点击率预测论文,上一届是 57 篇。
- ICML 2026 有多少篇点击率预测论文?
- ICML 2026 有 77 篇点击率预测论文,上一届是 65 篇。
- CVPR 2026 有多少篇点击率预测论文?
- CVPR 2026 有 68 篇点击率预测论文,上一届是 44 篇。
- 哪个会议的点击率预测论文最多?
- NeurIPS,2023–2026 年共 344 篇。