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
226 papers, page 4 of 5
- NeurIPS 2024Aligning Model Properties via Conformal Risk Control
- NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
- NeurIPS 2024AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
- NeurIPS 2024Association Pattern-aware Fusion for Biological Entity Relationship Prediction
- NeurIPS 2024Boosted Conformal Prediction Intervals
- NeurIPS 2024ChatCam: Empowering Camera Control through Conversational AI
- NeurIPS 2024Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
- NeurIPS 2024Conformalized Credal Set Predictors
- NeurIPS 2024Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
- NeurIPS 2024Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions
- NeurIPS 2024Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
- NeurIPS 2024DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
- NeurIPS 2024Dense Associative Memory Through the Lens of Random Features
- NeurIPS 2024Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
- NeurIPS 2024Distributionally Robust Performative Prediction
- NeurIPS 2024Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
- NeurIPS 2024Enhancing Large Language Models through Adaptive Tokenizers
- NeurIPS 2024Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
- NeurIPS 2024Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
- NeurIPS 2024Explanations that reveal all through the definition of encoding
- NeurIPS 2024Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
- NeurIPS 2024Exploration by Learning Diverse Skills through Successor State Representations
- NeurIPS 2024Fractal Patterns May Illuminate the Success of Next-Token Prediction
- NeurIPS 2024GeoPlant: Spatial Plant Species Prediction Dataset
- NeurIPS 2024HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
- NeurIPS 2024Human Expertise in Algorithmic Prediction
- NeurIPS 2024Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers
- NeurIPS 2024Improving Temporal Link Prediction via Temporal Walk Matrix Projection
- NeurIPS 2024Instructor-inspired Machine Learning for Robust Molecular Property Prediction
- NeurIPS 2024Large language model validity via enhanced conformal prediction methods
- NeurIPS 2024Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios
- NeurIPS 2024Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
- NeurIPS 2024Learning Versatile Skills with Curriculum Masking
- NeurIPS 2024LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
- NeurIPS 2024Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
- NeurIPS 2024Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets
- NeurIPS 2024MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
- NeurIPS 2024MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
- NeurIPS 2024Multi-model Ensemble Conformal Prediction in Dynamic Environments
- NeurIPS 2024Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
- NeurIPS 2024Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
- NeurIPS 2024Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
- NeurIPS 2024NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
- NeurIPS 2024Non-asymptotic Convergence of Training Transformers for Next-token Prediction
- NeurIPS 2024Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
- NeurIPS 2024Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
- NeurIPS 2024P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
- NeurIPS 2024PageRank Bandits for Link Prediction
- NeurIPS 2024Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
- NeurIPS 2024Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
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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.