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
166 papers, page 1 of 4
- ICLR 2026**TandemFoilSet**: Datasets for Flow Field Prediction of Tandem-Airfoil Through the Reuse of Single Airfoils
- ICLR 2026A New Paradigm for Genome-wide DNA Methylation Prediction Without Methylation Input
- ICLR 2026Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference
- ICLR 2026Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials
- ICLR 2026Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries
- ICLR 2026Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction
- ICLR 2026Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz Lens
- ICLR 2026Conformal Prediction for Long-Tailed Classification
- ICLR 2026Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weighting
- ICLR 2026Constraint-guided Hardware-aware NAS through Gradient Modification
- ICLR 2026ContextIF: Enhancing Instruction-Following through Context Reward
- ICLR 2026Cut Less, Fold More: Model Compression through the Lens of Projection Geometry
- ICLR 2026Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
- ICLR 2026Distribution-informed Online Conformal Prediction
- ICLR 2026Dual-Solver: A Generalized ODE Solver for Diffusion Models with Dual Prediction
- ICLR 2026Efficient Credal Prediction through Decalibration
- ICLR 2026Efficient Prediction of Large Protein Complexes via Subunit-Guided Hierarchical Refinement
- ICLR 2026Enhancing Hallucination Detection through Noise Injection
- ICLR 2026Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction
- ICLR 2026Fair Conformal Classification via Learning Representation-Based Groups
- ICLR 2026Flow-based Conformal Prediction for Multi-dimensional Time Series
- ICLR 2026Flowing Through States: Neural ODE Regularization for Reinforcement Learning
- ICLR 2026Graphon Cross-Validation: Assessing Models on Network Data
- ICLR 2026High Accuracy, Less Talk (HALT): Reliable LLMs through Capability-Aligned Finetuning
- ICLR 2026HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction
- ICLR 2026How Stable is the Next Token? A Geometric View of LLM Prediction Stability
- ICLR 2026I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
- ICLR 2026iFusion: Integrating Dynamic Interest Streams via Diffusion Model for Click-Through Rate Prediction
- ICLR 2026JAPAN: Joint Adaptive Prediction Areas with Normalising Flow
- ICLR 2026KVComm: Enabling Efficient LLM Communication through Selective KV Sharing
- ICLR 2026Mean-Field Neural Differential Equations: A Game-Theoretic Approach to Sequence Prediction
- ICLR 2026Memorization Through the Lens of Sample Gradients
- ICLR 2026Memorizing Long-tail Data Can Help Generalization Through Composition
- ICLR 2026MoMa: A Simple Modular Learning Framework for Material Property Prediction
- ICLR 2026Multiple-Prediction-Powered Inference
- ICLR 2026Neural Optimal Transport Meets Multivariate Conformal Prediction
- ICLR 2026One Skill, Many Websites: Learning Generalizable Skills Through Polymorphic Abstraction
- ICLR 2026Optimizing Data Augmentation through Bayesian Model Selection
- ICLR 2026Probing Rotary Position Embeddings through Frequency Entropy
- ICLR 2026Random Label Prediction Heads for Studying Memorization in Deep Neural Networks
- ICLR 2026ResCP: Reservoir Conformal Prediction for Time Series Forecasting
- ICLR 2026Resurfacing the Instance-only Dependent Label Noise Model through Loss Correction
- ICLR 2026Revisiting Active Sequential Prediction-Powered Mean Estimation
- ICLR 2026Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem
- ICLR 2026Revisting Node Affinity Prediction In Temporal Graphs
- ICLR 2026scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction
- ICLR 2026Singleton-Optimized Conformal Prediction
- ICLR 2026SNAP-UQ: Self-supervised Next-Activation Prediction for Single-Pass Uncertainty in TinyML
- ICLR 2026Stable and Scalable Deep Predictive Coding Networks with Meta Prediction Errors
- ICLR 2026Strong Correlations Induce Cause Only Predictions in Transformer Training
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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.