Click-Through Prediction papers, 2023–2026
CTR models
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 940 papers are tagged with this topic.
Key findings
- Click-Through Prediction went from 124 papers in 2023 to 319 in 2026, roughly 2.6x in three years.
- NeurIPS publishes the most Click-Through Prediction work: 344 papers from 2023 to 2026, 37% of the four-venue total.
- The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 1 in 2023 to 26 in 2026.
- Among the 5 topics under Recommenders and Ads, it ranks #2 by 2026 paper count; the fastest grower in the group, Causal Recommendation, is up 2.3x versus 2.6x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 36 | 20 | 32 | 36 | 124 |
| 2024 | 85 | 33 | 77 | 31 | 226 |
| 2025 | 105 | 57 | 65 | 44 | 271 |
| 2026 | 118 | 56 | 77 | 68 | 319 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Click-Through Prediction papers
939 papers, page 19 of 19
- ICML 2023Temporal Label Smoothing for Early Event Prediction
- ICML 2023Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features
- ICML 2023When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction
- NeurIPS 2023A Guide Through the Zoo of Biased SGD
- NeurIPS 2023Adversarial Resilience in Sequential Prediction via Abstention
- NeurIPS 2023Adversarial Robustness through Random Weight Sampling
- NeurIPS 2023Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices
- NeurIPS 2023Better Private Linear Regression Through Better Private Feature Selection
- NeurIPS 2023Calibrating “Cheap Signals” in Peer Review without a Prior
- NeurIPS 2023Class-Conditional Conformal Prediction with Many Classes
- NeurIPS 2023CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift
- NeurIPS 2023Combating Bilateral Edge Noise for Robust Link Prediction
- NeurIPS 2023Conformal PID Control for Time Series Prediction
- NeurIPS 2023Conformal Prediction Sets for Ordinal Classification
- NeurIPS 2023Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective
- NeurIPS 2023EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras
- NeurIPS 2023Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics
- NeurIPS 2023Formulating Discrete Probability Flow Through Optimal Transport
- NeurIPS 2023Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians
- NeurIPS 2023Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors
- NeurIPS 2023Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment
- NeurIPS 2023On Certified Generalization in Structured Prediction
- NeurIPS 2023PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
- NeurIPS 2023Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources
- NeurIPS 2023PlanE: Representation Learning over Planar Graphs
- NeurIPS 2023Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction
- NeurIPS 2023Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation
- NeurIPS 2023Private Everlasting Prediction
- NeurIPS 2023Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure
- NeurIPS 2023Self-Supervised Motion Magnification by Backpropagating Through Optical Flow
- NeurIPS 2023SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
- NeurIPS 2023StateMask: Explaining Deep Reinforcement Learning through State Mask
- NeurIPS 2023Temporal Continual Learning with Prior Compensation for Human Motion Prediction
- NeurIPS 2023TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
- NeurIPS 2023Transformers learn through gradual rank increase
- NeurIPS 2023Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
- NeurIPS 2023What can a Single Attention Layer Learn? A Study Through the Random Features Lens
- NeurIPS 2023What Truly Matters in Trajectory Prediction for Autonomous Driving?
- NeurIPS 2023Zero-Regret Performative Prediction Under Inequality Constraints
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Click-Through Prediction papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "click-through-prediction"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
FAQ
- How many Click-Through Prediction papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 940 in total: 124 in 2023, 226 in 2024, 271 in 2025, 319 in 2026.
- How many Click-Through Prediction papers are at NeurIPS 2026?
- NeurIPS 2026 has 118 Click-Through Prediction papers, versus 105 the year before.
- How many Click-Through Prediction papers are at ICLR 2026?
- ICLR 2026 has 56 Click-Through Prediction papers, versus 57 the year before.
- How many Click-Through Prediction papers are at ICML 2026?
- ICML 2026 has 77 Click-Through Prediction papers, versus 65 the year before.
- How many Click-Through Prediction papers are at CVPR 2026?
- CVPR 2026 has 68 Click-Through Prediction papers, versus 44 the year before.
- Which conference publishes the most Click-Through Prediction papers?
- NeurIPS, with 344 papers from 2023 to 2026.