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
124 papers, page 2 of 3
- ICLR 2023Reparameterization through Spatial Gradient Scaling
- ICLR 2023REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
- ICLR 2023Self-supervision through Random Segments with Autoregressive Coding (RandSAC)
- ICLR 2023Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
- ICLR 2023Temporal Dependencies in Feature Importance for Time Series Prediction
- ICLR 2023VA-DepthNet: A Variational Approach to Single Image Depth Prediction
- ICML 2023Aligning Language Models with Preferences through $f$-divergence Minimization
- ICML 2023Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator
- ICML 2023Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
- ICML 2023Conformal Prediction Sets for Graph Neural Networks
- ICML 2023Conformal Prediction with Missing Values
- ICML 2023Constraint Reasoning Embedded Structured Prediction
- ICML 2023CrossSplit: Mitigating Label Noise Memorization through Data Splitting
- ICML 2023Detecting Out-of-distribution Data through In-distribution Class Prior
- ICML 2023Distribution Free Prediction Sets for Node Classification
- ICML 2023Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction
- ICML 2023ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
- ICML 2023Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
- ICML 2023Exact Inference in High-order Structured Prediction
- ICML 2023Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains
- ICML 2023Feature learning in deep classifiers through Intermediate Neural Collapse
- ICML 2023Feature Programming for Multivariate Time Series Prediction
- ICML 2023Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
- ICML 2023Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
- ICML 2023Improving Expert Predictions with Conformal Prediction
- ICML 2023Input uncertainty propagation through trained neural networks
- ICML 2023Linkless Link Prediction via Relational Distillation
- ICML 2023Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
- ICML 2023Network Effects in Performative Prediction Games
- ICML 2023Non-autoregressive Conditional Diffusion Models for Time Series Prediction
- ICML 2023One-Shot Federated Conformal Prediction
- ICML 2023Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions
- ICML 2023Predicting Rare Events by Shrinking Towards Proportional Odds
- ICML 2023Robust Perception through Equivariance
- ICML 2023Self-Interpretable Time Series Prediction with Counterfactual Explanations
- 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
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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.