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 271 篇，第 3 / 6 页

101. ICLR 2025Weak-to-Strong Generalization Through the Data-Centric Lens
102. ICML 2025A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features
103. ICML 2025Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
104. ICML 2025All-atom inverse protein folding through discrete flow matching
105. ICML 2025Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
106. ICML 2025Boosting Protein Graph Representations through Static-Dynamic Fusion
107. ICML 2025CMoS: Rethinking Time Series Prediction Through the Lens of Chunk-wise Spatial Correlations
108. ICML 2025Complete-Tree Space Favors Data-Efficient Link Prediction
109. ICML 2025Conformal Prediction as Bayesian Quadrature
110. ICML 2025Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
111. ICML 2025Constrained Belief Updates Explain Geometric Structures in Transformer Representations
112. ICML 2025Cross-regularization: Adaptive Model Complexity through Validation Gradients
113. ICML 2025Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing
114. ICML 2025CursorCore: Assist Programming through Aligning Anything
115. ICML 2025Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents
116. ICML 2025Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
117. ICML 2025DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
118. ICML 2025Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
119. ICML 2025Distillation of Discrete Diffusion through Dimensional Correlations
120. ICML 2025Distributed Conformal Prediction via Message Passing
121. ICML 2025Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
122. ICML 2025Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
123. ICML 2025Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
124. ICML 2025Enhancing Target-unspecific Tasks through a Features Matrix
125. ICML 2025FAB-PPI: Frequentist, Assisted by Bayes, Prediction-Powered Inference
126. ICML 2025False Coverage Proportion Control for Conformal Prediction
127. ICML 2025From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
128. ICML 2025Implicit degree bias in the link prediction task
129. ICML 2025Improved Expressivity of Hypergraph Neural Networks through High-Dimensional Generalized Weisfeiler-Leman Algorithms
130. ICML 2025Improving the Statistical Efficiency of Cross-Conformal Prediction
131. ICML 2025Improving the Variance of Differentially Private Randomized Experiments through Clustering
132. ICML 2025Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
133. ICML 2025Learnable Spatial-Temporal Positional Encoding for Link Prediction
134. ICML 2025Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
135. ICML 2025Measuring In-Context Computation Complexity via Hidden State Prediction
136. ICML 2025Model Uncertainty Quantification by Conformal Prediction in Continual Learning
137. ICML 2025On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
138. ICML 2025On the Generalization Ability of Next-Token-Prediction Pretraining
139. ICML 2025On Volume Minimization in Conformal Regression
140. ICML 2025One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
141. ICML 2025Online Differentially Private Conformal Prediction for Uncertainty Quantification
142. ICML 2025Optimal transport-based conformal prediction
143. ICML 2025Parametric Scaling Law of Tuning Bias in Conformal Prediction
144. ICML 2025PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
145. ICML 2025polybasic Speculative Decoding Through a Theoretical Perspective
146. ICML 2025Position: The Future of Bayesian Prediction Is Prior-Fitted
147. ICML 2025Prediction models that learn to avoid missing values
148. ICML 2025Prediction-Powered Adaptive Shrinkage Estimation
149. ICML 2025Prediction-Powered E-Values
150. ICML 2025Protriever: End-to-End Differentiable Protein Homology Search for Fitness 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。