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

Papers per year

Papers per venue

Counts by year and venue

Click-Through Prediction papers by year and venue
YearNeurIPSICLRICMLCVPRTotal
202336203236124
202485337731226
2025105576544271
2026118567768319

Representative papers

Spread across years and venues so every edition shows up

All Click-Through Prediction papers

318 papers, page 5 of 7

  1. NeurIPS 2026A Comprehensive View of Fairness through Distributional Stability
  2. NeurIPS 2026A Kernel Nonconformity Score for Multivariate Conformal Prediction
  3. NeurIPS 2026A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature
  4. NeurIPS 2026A Theoretical Analysis of Why Masked Diffusion Models Mitigate the Reversal Curse
  5. NeurIPS 2026Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement
  6. NeurIPS 2026AdaOcc: Adaptive 3D Occupancy Prediction for Embodied Tasks
  7. NeurIPS 2026AdaptNC: Adaptive Nonconformity Scores for Conformal Prediction under Distribution Shift
  8. NeurIPS 2026ASO Atlas 2.0: Evaluating antisense oligonucleotide prediction across the preclinical pipeline
  9. NeurIPS 2026Asymmetric Generalization in Deep CTR Models: A Block-wise Diagnosis
  10. NeurIPS 2026AtlasULP: Domain-aware Universal Link Prediction via Relation Atlas
  11. NeurIPS 2026Augmented Lagrangian Predictive Coding
  12. NeurIPS 2026Beyond Local Neighborhoods: Fractional Diffusion with Levy Flights on Simplicial Complexes for Link Prediction
  13. NeurIPS 2026Beyond ViT Tokens: Masked-Diffusion Pretrained Convolutional Pathology Foundation Model for Cell-Level Dense Prediction
  14. NeurIPS 2026Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining
  15. NeurIPS 2026Canonical Predictive Quotients: A Theory of Prediction under Hidden Predictive State Uncertainty with ICL Implications
  16. NeurIPS 2026Click3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks
  17. NeurIPS 2026Clustered Randomized Smoothing for Stochastic Prediction Functions
  18. NeurIPS 2026Coherent Routing in Decision Trees: Phase-Interference Learning for Interpretable Tabular Prediction
  19. NeurIPS 2026Competing Event Models: Next Event Prediction Under Interventions
  20. NeurIPS 2026Concorde: Geometry-Aware Link Prediction via Decoupled Energy Minimization
  21. NeurIPS 2026Conformal Prediction for Distribution-to-Distribution Regression
  22. NeurIPS 2026Cross-Cell-Line Perturbation Prediction Needs Controls
  23. NeurIPS 2026Cross-Distribution Generalization in Longitudinal Behavioral Data Through Frozen Coherence Constraints
  24. NeurIPS 2026CVTA: Cross-Variable Temporal Attention for Multivariate Irregular Time Series Prediction
  25. NeurIPS 2026CytoWave: Perturbation-Centric Pretraining for Single-Cell Response Prediction
  26. NeurIPS 2026DegradeQuery: Counterfactual Tuple Pretraining for Context-Aware PROTAC Degradation Prediction
  27. NeurIPS 2026Depth through Recurrence: Towards Ultra-Efficient On-Device ASR
  28. NeurIPS 2026DSSNet: Deep Spectral Structure Profiling Network for Traffic Flow Prediction
  29. NeurIPS 2026Early Prediction of Future Behavioral Strategy from Process Traces
  30. NeurIPS 2026Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging
  31. NeurIPS 2026EP-Flow: Disordered Crystal Structure Prediction without Site-level Annotation
  32. NeurIPS 2026Expressive Power of Deep Homomorphism Networks over Relational Databases
  33. NeurIPS 2026Extending ROC Analysis to Uncertainty-Aware Risk Prediction with an Interval-Based AUC (iAUC)
  34. NeurIPS 2026Fast Organic Crystal Structure Prediction with Unit Cell Flow Matching
  35. NeurIPS 2026Fast-Slow Evolutionary Occupancy Prediction via Controlled Dynamics
  36. NeurIPS 2026FedCF: Fair Federated Conformal Prediction
  37. NeurIPS 2026Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG
  38. NeurIPS 2026FM-ChangeNet: Learning Change through Pathwise Feature Transport
  39. NeurIPS 2026Forgetting Has Neighbors: Localized Collateral Forgetting in Machine Unlearning
  40. NeurIPS 2026Foveal-Mamba: Inside-Out Ring Scanning with Recurrent Offset Prediction for Visual State Space Models
  41. NeurIPS 2026From Link Prediction to Linear Community Detection: A Finite-Sample Guarantee for Graph Pretraining
  42. NeurIPS 2026Generalization in Neural Networks Through the Lens of Magnitude Potential
  43. NeurIPS 2026Generalizing the Geometry of Model Merging Through Fréchet Averages
  44. NeurIPS 2026Generative Conformal Prediction with Optimized Coverage Allocation
  45. NeurIPS 2026GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem
  46. NeurIPS 2026GlycoGen: Crystallizing Flows for De Novo Glycan Structure Prediction
  47. NeurIPS 2026GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs
  48. NeurIPS 2026History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes
  49. NeurIPS 2026How Does Pruning Change Decisions in Large Language Models?
  50. NeurIPS 2026How You Move Tells What You'll Do: Trajectory-Conditioned Egocentric Prediction

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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.

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