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 15 of 19

701. ICML 2024Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
702. ICML 2024Online conformal prediction with decaying step sizes
703. ICML 2024Optimal Eye Surgeon: Finding image priors through sparse generators at initialization
704. ICML 2024Optimal Ridge Regularization for Out-of-Distribution Prediction
705. ICML 2024Outlier-robust Kalman Filtering through Generalised Bayes
706. ICML 2024Performative Prediction with Bandit Feedback: Learning through Reparameterization
707. ICML 2024Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
708. ICML 2024Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg
709. ICML 2024Private Truly-Everlasting Robust-Prediction
710. ICML 2024Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
711. ICML 2024Pursuing Overall Welfare in Federated Learning through Sequential Decision Making
712. ICML 2024Regularized Q-learning through Robust Averaging
713. ICML 2024Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
714. ICML 2024Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
715. ICML 2024Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective
716. ICML 2024Revisit the Essence of Distilling Knowledge through Calibration
717. ICML 2024Robust Yet Efficient Conformal Prediction Sets
718. ICML 2024Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
719. ICML 2024Spike Distance Function as a Learning Objective for Spike Prediction
720. ICML 2024Stability Evaluation through Distributional Perturbation Analysis
721. ICML 2024StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
722. ICML 2024Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm
723. ICML 2024Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens
724. ICML 2024Surprisingly Strong Performance Prediction with Neural Graph Features
725. ICML 2024The Pitfalls of Next-Token Prediction
726. ICML 2024The Relative Value of Prediction in Algorithmic Decision Making
727. ICML 2024Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability
728. ICML 2024Translation Equivariant Transformer Neural Processes
729. ICML 2024Unveiling the Potential of AI for Nanomaterial Morphology Prediction
730. ICML 2024Viewing Transformers Through the Lens of Long Convolutions Layers
731. NeurIPS 2024[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
732. NeurIPS 20243D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
733. NeurIPS 2024A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
734. NeurIPS 2024A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness
735. NeurIPS 2024A Recipe for Charge Density Prediction
736. NeurIPS 2024Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
737. NeurIPS 2024Activation Map Compression through Tensor Decomposition for Deep Learning
738. NeurIPS 2024Active, anytime-valid risk controlling prediction sets
739. NeurIPS 2024Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
740. NeurIPS 2024Aligning Model Properties via Conformal Risk Control
741. NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
742. NeurIPS 2024AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
743. NeurIPS 2024Association Pattern-aware Fusion for Biological Entity Relationship Prediction
744. NeurIPS 2024Boosted Conformal Prediction Intervals
745. NeurIPS 2024ChatCam: Empowering Camera Control through Conversational AI
746. NeurIPS 2024Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
747. NeurIPS 2024Conformalized Credal Set Predictors
748. NeurIPS 2024Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
749. NeurIPS 2024Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions
750. NeurIPS 2024Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond

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.