Click-Through Prediction papers, 2023–2026

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.

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 16 of 19

751. NeurIPS 2024DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
752. NeurIPS 2024Dense Associative Memory Through the Lens of Random Features
753. NeurIPS 2024Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
754. NeurIPS 2024Distributionally Robust Performative Prediction
755. NeurIPS 2024Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
756. NeurIPS 2024Enhancing Large Language Models through Adaptive Tokenizers
757. NeurIPS 2024Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
758. NeurIPS 2024Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game
759. NeurIPS 2024Explanations that reveal all through the definition of encoding
760. NeurIPS 2024Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration
761. NeurIPS 2024Exploration by Learning Diverse Skills through Successor State Representations
762. NeurIPS 2024Fractal Patterns May Illuminate the Success of Next-Token Prediction
763. NeurIPS 2024GeoPlant: Spatial Plant Species Prediction Dataset
764. NeurIPS 2024HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction
765. NeurIPS 2024Human Expertise in Algorithmic Prediction
766. NeurIPS 2024Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers
767. NeurIPS 2024Improving Temporal Link Prediction via Temporal Walk Matrix Projection
768. NeurIPS 2024Instructor-inspired Machine Learning for Robust Molecular Property Prediction
769. NeurIPS 2024Large language model validity via enhanced conformal prediction methods
770. NeurIPS 2024Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios
771. NeurIPS 2024Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
772. NeurIPS 2024Learning Versatile Skills with Curriculum Masking
773. NeurIPS 2024LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model
774. NeurIPS 2024Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling
775. NeurIPS 2024Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets
776. NeurIPS 2024MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction
777. NeurIPS 2024MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders
778. NeurIPS 2024Multi-model Ensemble Conformal Prediction in Dynamic Environments
779. NeurIPS 2024Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization
780. NeurIPS 2024Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
781. NeurIPS 2024Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set
782. NeurIPS 2024NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
783. NeurIPS 2024Non-asymptotic Convergence of Training Transformers for Next-token Prediction
784. NeurIPS 2024Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
785. NeurIPS 2024Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
786. NeurIPS 2024P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
787. NeurIPS 2024PageRank Bandits for Link Prediction
788. NeurIPS 2024Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
789. NeurIPS 2024Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
790. NeurIPS 2024Prediction-Powered Ranking of Large Language Models
791. NeurIPS 2024Pure Message Passing Can Estimate Common Neighbor for Link Prediction
792. NeurIPS 2024Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning
793. NeurIPS 2024PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression
794. NeurIPS 2024Quasi-Bayes meets Vines
795. NeurIPS 2024ReactZyme: A Benchmark for Enzyme-Reaction Prediction
796. NeurIPS 2024Rethinking LLM Memorization through the Lens of Adversarial Compression
797. NeurIPS 2024Robust Conformal Prediction Using Privileged Information
798. NeurIPS 2024RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions
799. NeurIPS 2024SAM-Guided Masked Token Prediction for 3D Scene Understanding
800. NeurIPS 2024Scalable Early Childhood Reading Performance Prediction

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.