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
166 papers, page 3 of 4
- ICLR 2025Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields
- ICLR 2025REVISITING MULTI-PERMUTATION EQUIVARIANCE THROUGH THE LENS OF IRREDUCIBLE REPRESENTATIONS
- ICLR 2025Robust Conformal Prediction with a Single Binary Certificate
- ICLR 2025Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling
- ICLR 2025Streamlining Prediction in Bayesian Deep Learning
- ICLR 2025Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
- ICLR 2025Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization
- ICLR 2025Towards Improving Exploration through Sibling Augmented GFlowNets
- ICLR 2025Towards Understanding the Universality of Transformers for Next-Token Prediction
- ICLR 2025TSC-Net: Prediction of Pedestrian Trajectories by Trajectory-Scene-Cell Classification
- ICLR 2025Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry
- ICLR 2025Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
- ICLR 2025Weak-to-Strong Generalization Through the Data-Centric Lens
- ICLR 2024A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
- ICLR 2024Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps
- ICLR 2024Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
- ICLR 2024Better Neural PDE Solvers Through Data-Free Mesh Movers
- ICLR 2024Class Incremental Learning via Likelihood Ratio Based Task Prediction
- ICLR 2024Combining Axes Preconditioners through Kronecker Approximation for Deep Learning
- ICLR 2024Conformal Prediction via Regression-as-Classification
- ICLR 2024Domain constraints improve risk prediction when outcome data is missing
- ICLR 2024End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
- ICLR 2024Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space
- ICLR 2024GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries
- ICLR 2024GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
- ICLR 2024GraphPulse: Topological representations for temporal graph property prediction
- ICLR 2024Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
- ICLR 2024In-Context Learning through the Bayesian Prism
- ICLR 2024InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
- ICLR 2024Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction
- ICLR 2024Let Models Speak Ciphers: Multiagent Debate through Embeddings
- ICLR 2024Making Pre-trained Language Models Great on Tabular Prediction
- ICLR 2024Neural Common Neighbor with Completion for Link Prediction
- ICLR 2024PAC Prediction Sets Under Label Shift
- ICLR 2024Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
- ICLR 2024Prediction Error-based Classification for Class-Incremental Learning
- ICLR 2024Prediction without Preclusion: Recourse Verification with Reachable Sets
- ICLR 2024Protein Multimer Structure Prediction via Prompt Learning
- ICLR 2024Provably Robust Conformal Prediction with Improved Efficiency
- ICLR 2024Quality-Diversity through AI Feedback
- ICLR 2024Revisiting Link Prediction: a data perspective
- ICLR 2024Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
- ICLR 2024Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
- ICLR 2024The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models
- ICLR 2024Toward effective protection against diffusion-based mimicry through score distillation
- ICLR 2024Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
- ICLR 2023A Control-Centric Benchmark for Video Prediction
- ICLR 2023Agree to Disagree: Diversity through Disagreement for Better Transferability
- ICLR 2023Approximate Nearest Neighbor Search through Modern Error-Correcting Codes
- ICLR 2023Backpropagation through Combinatorial Algorithms: Identity with Projection Works
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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.