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

344 papers, page 5 of 7

201. NeurIPS 2025Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems
202. NeurIPS 2025Sparta Alignment: Collectively Aligning Multiple Language Models through Combat
203. NeurIPS 2025Split conformal classification with unsupervised calibration
204. NeurIPS 2025SPMDM: Enhancing Masked Diffusion Models through Simplifing Sampling Path
205. NeurIPS 2025STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning
206. NeurIPS 2025Statistical Inference under Performativity
207. NeurIPS 2025Stochastic Forward-Forward Learning through Representational Dimensionality Compression
208. NeurIPS 2025Stochastically Dominant Peer Prediction
209. NeurIPS 2025SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning
210. NeurIPS 2025TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
211. NeurIPS 2025Teaching Transformers to Solve Combinatorial Problems through Efficient Trial & Error
212. NeurIPS 2025The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
213. NeurIPS 2025Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions
214. NeurIPS 2025Timely Clinical Diagnosis through Active Test Selection
215. NeurIPS 2025Topology-Aware Conformal Prediction for Stream Networks
216. NeurIPS 2025Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands
217. NeurIPS 2025Understanding Fairness and Prediction Error through Subspace Decomposition and Influence Analysis
218. NeurIPS 2025Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
219. NeurIPS 2025Universal Sequence Preconditioning
220. NeurIPS 2025Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
221. NeurIPS 2025Valid Selection among Conformal Sets
222. NeurIPS 2025VisualLens: Personalization through Task-Agnostic Visual History
223. NeurIPS 2025What Does It Take to Build a Performant Selective Classifier?
224. NeurIPS 2024[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"
225. NeurIPS 20243D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
226. NeurIPS 2024A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types
227. NeurIPS 2024A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness
228. NeurIPS 2024A Recipe for Charge Density Prediction
229. NeurIPS 2024Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play
230. NeurIPS 2024Activation Map Compression through Tensor Decomposition for Deep Learning
231. NeurIPS 2024Active, anytime-valid risk controlling prediction sets
232. NeurIPS 2024Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
233. NeurIPS 2024Aligning Model Properties via Conformal Risk Control
234. NeurIPS 2024An Information Theoretic Perspective on Conformal Prediction
235. NeurIPS 2024AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction
236. NeurIPS 2024Association Pattern-aware Fusion for Biological Entity Relationship Prediction
237. NeurIPS 2024Boosted Conformal Prediction Intervals
238. NeurIPS 2024ChatCam: Empowering Camera Control through Conversational AI
239. NeurIPS 2024Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
240. NeurIPS 2024Conformalized Credal Set Predictors
241. NeurIPS 2024Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
242. NeurIPS 2024Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions
243. NeurIPS 2024Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
244. NeurIPS 2024DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction
245. NeurIPS 2024Dense Associative Memory Through the Lens of Random Features
246. NeurIPS 2024Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
247. NeurIPS 2024Distributionally Robust Performative Prediction
248. NeurIPS 2024Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond
249. NeurIPS 2024Enhancing Large Language Models through Adaptive Tokenizers
250. NeurIPS 2024Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework

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.