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 939 篇，第 19 / 19 页

901. ICML 2023Temporal Label Smoothing for Early Event Prediction
902. ICML 2023Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
903. ICML 2023When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
904. NeurIPS 2023A Guide Through the Zoo of Biased SGD
905. NeurIPS 2023Adversarial Resilience in Sequential Prediction via Abstention
906. NeurIPS 2023Adversarial Robustness through Random Weight Sampling
907. NeurIPS 2023Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
908. NeurIPS 2023Better Private Linear Regression Through Better Private Feature Selection
909. NeurIPS 2023Calibrating “Cheap Signals” in Peer Review without a Prior
910. NeurIPS 2023Class-Conditional Conformal Prediction with Many Classes
911. NeurIPS 2023CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift
912. NeurIPS 2023Combating Bilateral Edge Noise for Robust Link Prediction
913. NeurIPS 2023Conformal PID Control for Time Series Prediction
914. NeurIPS 2023Conformal Prediction Sets for Ordinal Classification
915. NeurIPS 2023Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
916. NeurIPS 2023EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras
917. NeurIPS 2023Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics
918. NeurIPS 2023Formulating Discrete Probability Flow Through Optimal Transport
919. NeurIPS 2023Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians
920. NeurIPS 2023Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors
921. NeurIPS 2023Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
922. NeurIPS 2023On Certified Generalization in Structured Prediction
923. NeurIPS 2023PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
924. NeurIPS 2023Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
925. NeurIPS 2023PlanE: Representation Learning over Planar Graphs
926. NeurIPS 2023Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
927. NeurIPS 2023Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
928. NeurIPS 2023Private Everlasting Prediction
929. NeurIPS 2023Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure
930. NeurIPS 2023Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
931. NeurIPS 2023SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
932. NeurIPS 2023StateMask: Explaining Deep Reinforcement Learning through State Mask
933. NeurIPS 2023Temporal Continual Learning with Prior Compensation for Human Motion Prediction
934. NeurIPS 2023TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
935. NeurIPS 2023Transformers learn through gradual rank increase
936. NeurIPS 2023Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
937. NeurIPS 2023What can a Single Attention Layer Learn? A Study Through the Random Features Lens
938. NeurIPS 2023What Truly Matters in Trajectory Prediction for Autonomous Driving?
939. NeurIPS 2023Zero-Regret Performative Prediction Under Inequality Constraints

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。