点击率预测论文趋势 2023–2026

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。

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 105 篇，第 1 / 3 页

1. NeurIPS 2025Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency
2. NeurIPS 2025Accelerated Vertical Federated Adversarial Learning through Decoupling Layer-Wise Dependencies
3. NeurIPS 2025Accelerating Feature Conformal Prediction via Taylor Approximation
4. NeurIPS 2025Accident Anticipation via Temporal Occurrence Prediction
5. NeurIPS 2025Achieving $\tilde{\mathcal{O}}(1/N)$ Optimality Gap in Restless Bandits through Gaussian Approximation
6. NeurIPS 2025Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction
7. NeurIPS 2025AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction
8. NeurIPS 2025Analyzing the Power of Chain of Thought through Memorization Capabilities
9. NeurIPS 2025Anytime-valid, Bayes-assisted, Prediction-Powered Inference
10. NeurIPS 2025ARMesh: Autoregressive Mesh Generation via Next-Level-of-Detail Prediction
11. NeurIPS 2025Backward Conformal Prediction
12. NeurIPS 2025Balancing Multimodal Training Through Game-Theoretic Regularization
13. NeurIPS 2025Beyond Last-Click: An Optimal Mechanism for Ad Attribution
14. NeurIPS 2025Causal Discovery and Inference through Next-Token Prediction
15. NeurIPS 2025Class conditional conformal prediction for multiple inputs by p-value aggregation
16. NeurIPS 2025Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
17. NeurIPS 2025Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
18. NeurIPS 2025Conformal Prediction for Causal Effects of Continuous Treatments
19. NeurIPS 2025Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
20. NeurIPS 2025ConfTuner: Training Large Language Models to Express Their Confidence Verbally
21. NeurIPS 2025Credal Prediction based on Relative Likelihood
22. NeurIPS 2025Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
23. NeurIPS 2025DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
24. NeurIPS 2025Differentiation Through Black-Box Quadratic Programming Solvers
25. NeurIPS 2025Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
26. NeurIPS 2025Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction
27. NeurIPS 2025Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
28. NeurIPS 2025Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
29. NeurIPS 2025ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals
30. NeurIPS 2025Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
31. NeurIPS 2025Estimating Model Performance Under Covariate Shift Without Labels
32. NeurIPS 2025Evolutionary Prediction Games
33. NeurIPS 2025FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction
34. NeurIPS 2025FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
35. NeurIPS 2025ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching
36. NeurIPS 2025From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization
37. NeurIPS 2025Functional data analysis for multivariate distributions through Wasserstein slicing
38. NeurIPS 2025Future Link Prediction Without Memory or Aggregation
39. NeurIPS 2025Gatekeeper: Improving Model Cascades Through Confidence Tuning
40. NeurIPS 2025Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding
41. NeurIPS 2025GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy
42. NeurIPS 2025Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention
43. NeurIPS 2025Hamiltonian Neural PDE Solvers through Functional Approximation
44. NeurIPS 2025Holistic Order Prediction in Natural Scenes
45. NeurIPS 2025How Benchmark Prediction from Fewer Data Misses the Mark
46. NeurIPS 2025Improving Decision Trees through the Lens of Parameterized Local Search
47. NeurIPS 2025Improving the Straight-Through Estimator with Zeroth-Order Information
48. NeurIPS 2025Incentivizing Truthful Language Models via Peer Elicitation Games
49. NeurIPS 2025L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
50. NeurIPS 2025Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation

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。