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 226 篇，第 3 / 5 页

101. ICML 2024Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
102. ICML 2024Improving Token-Based World Models with Parallel Observation Prediction
103. ICML 2024Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks?
104. ICML 2024LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies
105. ICML 2024Learning Decision Policies with Instrumental Variables through Double Machine Learning
106. ICML 2024Learning Mixtures of Gaussian Processes through Random Projection
107. ICML 2024MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
108. ICML 2024Memorization Through the Lens of Curvature of Loss Function Around Samples
109. ICML 2024Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
110. ICML 2024MS-TIP: Imputation Aware Pedestrian Trajectory Prediction
111. ICML 2024Multimodal Prototyping for cancer survival prediction
112. ICML 2024Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
113. ICML 2024Online conformal prediction with decaying step sizes
114. ICML 2024Optimal Eye Surgeon: Finding image priors through sparse generators at initialization
115. ICML 2024Optimal Ridge Regularization for Out-of-Distribution Prediction
116. ICML 2024Outlier-robust Kalman Filtering through Generalised Bayes
117. ICML 2024Performative Prediction with Bandit Feedback: Learning through Reparameterization
118. ICML 2024Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
119. ICML 2024Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg
120. ICML 2024Private Truly-Everlasting Robust-Prediction
121. ICML 2024Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
122. ICML 2024Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
123. ICML 2024Regularized Q-learning through Robust Averaging
124. ICML 2024Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
125. ICML 2024Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
126. ICML 2024Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
127. ICML 2024Revisit the Essence of Distilling Knowledge through Calibration
128. ICML 2024Robust Yet Efficient Conformal Prediction Sets
129. ICML 2024Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
130. ICML 2024Spike Distance Function as a Learning Objective for Spike Prediction
131. ICML 2024Stability Evaluation through Distributional Perturbation Analysis
132. ICML 2024StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
133. ICML 2024Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm
134. ICML 2024Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
135. ICML 2024Surprisingly Strong Performance Prediction with Neural Graph Features
136. ICML 2024The Pitfalls of Next-Token Prediction
137. ICML 2024The Relative Value of Prediction in Algorithmic Decision Making
138. ICML 2024Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
139. ICML 2024Translation Equivariant Transformer Neural Processes
140. ICML 2024Unveiling the Potential of AI for Nanomaterial Morphology Prediction
141. ICML 2024Viewing Transformers Through the Lens of Long Convolutions Layers
142. NeurIPS 2024[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
143. NeurIPS 20243D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
144. NeurIPS 2024A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
145. NeurIPS 2024A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness
146. NeurIPS 2024A Recipe for Charge Density Prediction
147. NeurIPS 2024Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
148. NeurIPS 2024Activation Map Compression through Tensor Decomposition for Deep Learning
149. NeurIPS 2024Active, anytime-valid risk controlling prediction sets
150. NeurIPS 2024Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation

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。