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 318 篇，第 3 / 7 页

101. ICLR 2026MoMa: A Simple Modular Learning Framework for Material Property Prediction
102. ICLR 2026Multiple-Prediction-Powered Inference
103. ICLR 2026Neural Optimal Transport Meets Multivariate Conformal Prediction
104. ICLR 2026One Skill, Many Websites: Learning Generalizable Skills Through Polymorphic Abstraction
105. ICLR 2026Optimizing Data Augmentation through Bayesian Model Selection
106. ICLR 2026Probing Rotary Position Embeddings through Frequency Entropy
107. ICLR 2026Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
108. ICLR 2026ResCP: Reservoir Conformal Prediction for Time Series Forecasting
109. ICLR 2026Resurfacing the Instance-only Dependent Label Noise Model through Loss Correction
110. ICLR 2026Revisiting Active Sequential Prediction-Powered Mean Estimation
111. ICLR 2026Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem
112. ICLR 2026Revisting Node Affinity Prediction In Temporal Graphs
113. ICLR 2026scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
114. ICLR 2026Singleton-Optimized Conformal Prediction
115. ICLR 2026SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
116. ICLR 2026Stable and Scalable Deep Predictive Coding Networks with Meta Prediction Errors
117. ICLR 2026Strong Correlations Induce Cause Only Predictions in Transformer Training
118. ICLR 2026Synchronizing Probabilities in Model-Driven Lossless Compression
119. ICLR 2026Taming Momentum: Rethinking Optimizer States Through Low-Rank Approximation
120. ICLR 2026TEN-DM: Topology-Enhanced Diffusion Model for Spatio-Temporal Event Prediction
121. ICLR 2026Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-Resolution
122. ICLR 2026The Limits of Inference Scaling Through Resampling
123. ICLR 2026Why Ask One When You Can Ask $k$? Learning-to-Defer to the Top-$k$ Experts
124. ICML 2026A Penalty Approach For Differentiation Through Black-box Quadratic Programming Solvers
125. ICML 2026Accelerating Q-learning through Efficient Value-Sharing across Actions
126. ICML 2026Addressing Instrument-Outcome Confounding in Mendelian Randomization through Representation Learning
127. ICML 2026Arboreal Neural Network
128. ICML 2026Asymmetric conformal prediction with penalized kernel sum-of-squares
129. ICML 2026Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
130. ICML 2026Autobidding Auctions with LLM-Powered Creatives
131. ICML 2026Autoregression with Self-Token Prediction
132. ICML 2026Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction
133. ICML 2026Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
134. ICML 2026Beyond Independent Genes: Learning Module-Inductive Representations for Single-Cell Gene Perturbation Prediction
135. ICML 2026Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
136. ICML 2026Causal-JEPA: Learning World Models through Object-Level Latent Masking
137. ICML 2026Colorful Pinball: Density-Weighted Quantile Regression for Conditional Guarantee of Conformal Prediction
138. ICML 2026Conditional Coverage Diagnostics for Conformal Prediction
139. ICML 2026Conditional Quantile Adjusted Conformal Prediction for Time Series
140. ICML 2026Conformal Calibration Transfer
141. ICML 2026DDP-WM: Disentangled Dynamics Prediction for Efficient World Models
142. ICML 2026Decision-Focused Learning via Tangent-Space Projection of Prediction Error
143. ICML 2026Deep sequence models tend to memorize geometrically; it is unclear why
144. ICML 2026Discriminative Attribute Graph Clustering Through Topology-Guided Contrastive Learning
145. ICML 2026DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction
146. ICML 2026DITING: A Weak Degradation Listener for Battery Lifetime Early Prediction
147. ICML 2026Efficient numeracy in language models through single-token number embeddings
148. ICML 2026Emergent Visual Representations through Unsupervised Spiking Networks with Synaptic Pruning
149. ICML 2026Enhancing Numerical Prediction in LLMs via Smooth MMD Alignment
150. ICML 2026Extending Prediction-Powered Inference through Conformal 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。