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 6 of 19

251. NeurIPS 2026Human-AI Teaming Through the Lens of Calibration
252. NeurIPS 2026ICAT: Incident-Case–Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models
253. NeurIPS 2026Invaria: Learning Scale and Density Invariance in Point Clouds via Next-Resolution Prediction
254. NeurIPS 2026Invariant Hyperbolic Unfolding: Radial Canonicalization for Label-Free Cross-Graph Link Prediction
255. NeurIPS 2026Knowing Without Saying: How Contextual Evidence Survives but Fails to Surface in Transformers
256. NeurIPS 2026Language Models Need Sleep
257. NeurIPS 2026LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer?
258. NeurIPS 2026Learning Causal Orderings for In-Context Tabular Prediction
259. NeurIPS 2026Long-Range Spatio-Temporal Graph Propagation Through Oscillations
260. NeurIPS 2026Mental Health AI Must Move Beyond Diagnostic Prediction and Chat-Based Support: Toward Perspective-Aware, Multisensory Co-Experience
261. NeurIPS 2026Meta$^n$: Recursive Self-Improvement through Emergent Depth
262. NeurIPS 2026MOOD: Benchmarking Post-Hoc OOD Detection for Materials Property Prediction
263. NeurIPS 2026Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
264. NeurIPS 2026Multilateral Resistance-Guided Graph Message Passing for Trade Flow Prediction
265. NeurIPS 2026Mutual Predictability Decomposition: Learning Interpretable Cross-Set Structure via Bi-Directional Prediction
266. NeurIPS 2026NanoFold: Designing Reproducible Protein Structure Benchmarks through Principled Sampling
267. NeurIPS 2026Next-Latent Prediction Transformers Learn Compact World Models
268. NeurIPS 2026Offloading Score: Measuring AI Reliance through Counterfactual Workflows
269. NeurIPS 2026On the Information Loss of Multi-Token Prediction: Origin and Solution
270. NeurIPS 2026One-Layer Transformers Provably Learn In-Context K-Nearest Neighbor Prediction with Chain-of-Thought
271. NeurIPS 2026Online Localized Conformal Prediction
272. NeurIPS 2026Partially Performative Prediction
273. NeurIPS 2026Pathway-Aligned Regulator Tokens for Interpretable Spatial Gene Expression Prediction from Histologyatial Transcriptomics Prediction from Histology
274. NeurIPS 2026PDHFormer: Progressive Dual-Head Transformer for Behavioral Choice Prediction
275. NeurIPS 2026PepDDG: Peptide–Protein Binding ΔΔ𝐺 Prediction via Information Channel Decomposition
276. NeurIPS 2026PepSpecBench: A Unified Evaluation Benchmark for Peptide Tandem Mass Spectrometry Prediction
277. NeurIPS 2026Persuasive Prediction via Decision Calibration
278. NeurIPS 2026Prediction-Augmented Trees for Reliable Statistical Inference
279. NeurIPS 2026Prediction-Powered Active Testing
280. NeurIPS 2026Preserving DEG Rankings for Gene Discovery in Histology-Based Spatial Gene Expression Prediction
281. NeurIPS 2026Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction–Reality Gaps
282. NeurIPS 2026Quantitative Assessment of Crystal Structure Prediction
283. NeurIPS 2026RATS! Patches Talk Through Registers: Emergent Parts in Register Attention Transformers
284. NeurIPS 2026Reaching a Consensus in Predictive Loops
285. NeurIPS 2026Refinement as a Service: Algorithmic Predictor Refinement
286. NeurIPS 2026Reinforced Fast Weights via Next-Sequence Prediction
287. NeurIPS 2026Residual Calibration via Local Feature-Space Refinement
288. NeurIPS 2026Rethinking CT Synthesis through Semantics-Structure Alignment
289. NeurIPS 2026Rethinking State Tracking in Recurrent Models Through Error Control Dynamics
290. NeurIPS 2026Risk Horizons: Structured Hypothesis Spaces for Longitudinal Clinical Prediction
291. NeurIPS 2026Robust Conditional Conformal Prediction via Branched Normalizing Flow
292. NeurIPS 2026Scaffold3D: SfM-Conditioned Pointmap Prediction for Multi-View 3D Reconstruction
293. NeurIPS 2026Severity-Controlled Prediction Sets for Medication Recommendation
294. NeurIPS 2026SIEVES: Selective Prediction Generalizes through Visual Evidence Scoring
295. NeurIPS 2026SimVLA: Attributing Gains in VLA Models Through Controlled Ablation
296. NeurIPS 2026SolvMix: Learning Formulation-State Landscapes for Liquid Electrolyte Conductivity Prediction
297. NeurIPS 2026SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings
298. NeurIPS 2026Statistical Complexity of Soft Bellman Residual Minimization
299. NeurIPS 2026Stochastic Grouping Conformal Prediction for Effective Subgroup Reliability
300. NeurIPS 2026Strengthening LLMs for Tabular Prediction with Structural Priors

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.