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 85 篇，第 1 / 2 页

1. NeurIPS 2024[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
2. NeurIPS 20243D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
3. NeurIPS 2024A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
4. NeurIPS 2024A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness
5. NeurIPS 2024A Recipe for Charge Density Prediction
6. NeurIPS 2024Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
7. NeurIPS 2024Activation Map Compression through Tensor Decomposition for Deep Learning
8. NeurIPS 2024Active, anytime-valid risk controlling prediction sets
9. NeurIPS 2024Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
10. NeurIPS 2024Aligning Model Properties via Conformal Risk Control
11. NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
12. NeurIPS 2024AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
13. NeurIPS 2024Association Pattern-aware Fusion for Biological Entity Relationship Prediction
14. NeurIPS 2024Boosted Conformal Prediction Intervals
15. NeurIPS 2024ChatCam: Empowering Camera Control through Conversational AI
16. NeurIPS 2024Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
17. NeurIPS 2024Conformalized Credal Set Predictors
18. NeurIPS 2024Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
19. NeurIPS 2024Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions
20. NeurIPS 2024Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
21. NeurIPS 2024DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
22. NeurIPS 2024Dense Associative Memory Through the Lens of Random Features
23. NeurIPS 2024Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
24. NeurIPS 2024Distributionally Robust Performative Prediction
25. NeurIPS 2024Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
26. NeurIPS 2024Enhancing Large Language Models through Adaptive Tokenizers
27. NeurIPS 2024Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
28. NeurIPS 2024Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
29. NeurIPS 2024Explanations that reveal all through the definition of encoding
30. NeurIPS 2024Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
31. NeurIPS 2024Exploration by Learning Diverse Skills through Successor State Representations
32. NeurIPS 2024Fractal Patterns May Illuminate the Success of Next-Token Prediction
33. NeurIPS 2024GeoPlant: Spatial Plant Species Prediction Dataset
34. NeurIPS 2024HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
35. NeurIPS 2024Human Expertise in Algorithmic Prediction
36. NeurIPS 2024Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers
37. NeurIPS 2024Improving Temporal Link Prediction via Temporal Walk Matrix Projection
38. NeurIPS 2024Instructor-inspired Machine Learning for Robust Molecular Property Prediction
39. NeurIPS 2024Large language model validity via enhanced conformal prediction methods
40. NeurIPS 2024Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios
41. NeurIPS 2024Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
42. NeurIPS 2024Learning Versatile Skills with Curriculum Masking
43. NeurIPS 2024LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
44. NeurIPS 2024Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
45. NeurIPS 2024Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets
46. NeurIPS 2024MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
47. NeurIPS 2024MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
48. NeurIPS 2024Multi-model Ensemble Conformal Prediction in Dynamic Environments
49. NeurIPS 2024Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
50. NeurIPS 2024Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms

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。