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 11 of 19
- NeurIPS 2025Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
- NeurIPS 2025Conformal Prediction for Causal Effects of Continuous Treatments
- NeurIPS 2025Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
- NeurIPS 2025ConfTuner: Training Large Language Models to Express Their Confidence Verbally
- NeurIPS 2025Credal Prediction based on Relative Likelihood
- NeurIPS 2025Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
- NeurIPS 2025DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruning
- NeurIPS 2025Differentiation Through Black-Box Quadratic Programming Solvers
- NeurIPS 2025Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
- NeurIPS 2025Dynamic Focused Masking for Autoregressive Embodied Occupancy Prediction
- NeurIPS 2025Dynamics of Spontaneous Topic Changes in Next Token Prediction with Self-Attention
- NeurIPS 2025Efficient Hybrid Language Model Compression through Group-Aware SSM Pruning
- NeurIPS 2025ELECTRA: A Cartesian Network for 3D Charge Density Prediction with Floating Orbitals
- NeurIPS 2025Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces
- NeurIPS 2025Estimating Model Performance Under Covariate Shift Without Labels
- NeurIPS 2025Evolutionary Prediction Games
- NeurIPS 2025FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction
- NeurIPS 2025FlowMixer: A Depth-Agnostic Neural Architecture for Interpretable Spatiotemporal Forecasting
- NeurIPS 2025ForceFM: Enhancing Protein-Ligand Predictions through Force-Guided Flow Matching
- NeurIPS 2025From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization
- NeurIPS 2025Functional data analysis for multivariate distributions through Wasserstein slicing
- NeurIPS 2025Future Link Prediction Without Memory or Aggregation
- NeurIPS 2025Gatekeeper: Improving Model Cascades Through Confidence Tuning
- NeurIPS 2025Gaze-VLM: Bridging Gaze and VLMs through Attention Regularization for Egocentric Understanding
- NeurIPS 2025GD$^2$: Robust Graph Learning under Label Noise via Dual-View Prediction Discrepancy
- NeurIPS 2025Generalization Error Analysis for Selective State-Space Models Through the Lens of Attention
- NeurIPS 2025Hamiltonian Neural PDE Solvers through Functional Approximation
- NeurIPS 2025Holistic Order Prediction in Natural Scenes
- NeurIPS 2025How Benchmark Prediction from Fewer Data Misses the Mark
- NeurIPS 2025Improving Decision Trees through the Lens of Parameterized Local Search
- NeurIPS 2025Improving the Straight-Through Estimator with Zeroth-Order Information
- NeurIPS 2025Incentivizing Truthful Language Models via Peer Elicitation Games
- NeurIPS 2025L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
- NeurIPS 2025Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
- NeurIPS 2025Learning from Delayed Feedback in Games via Extra Prediction
- NeurIPS 2025Learning to Route: Per-Sample Adaptive Routing for Multimodal Multitask Prediction
- NeurIPS 2025MaxSup: Overcoming Representation Collapse in Label Smoothing
- NeurIPS 2025MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction
- NeurIPS 2025MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks
- NeurIPS 2025MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing
- NeurIPS 2025Multi-Token Prediction Needs Registers
- NeurIPS 2025Multiscale guidance of protein structure prediction with heterogeneous cryo-EM data
- NeurIPS 2025NEP: Autoregressive Image Editing via Next Editing Token Prediction
- NeurIPS 2025NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models
- NeurIPS 2025Next Semantic Scale Prediction via Hierarchical Diffusion Language Models
- NeurIPS 2025Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shift with Unlabeled Data
- NeurIPS 2025Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
- NeurIPS 2025OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Prediction
- NeurIPS 2025ODG: Occupancy Prediction Using Dual Gaussians
- NeurIPS 2025One Sample is Enough to Make Conformal Prediction Robust
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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.