General ML · supervised learning papers, 2023–2026

Key findings

• General ML · supervised learning went from 263 papers in 2023 to 279 in 2026, roughly 1.1x in three years.
• NeurIPS publishes the most General ML · supervised learning work: 731 papers from 2023 to 2026, 51% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 9 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #3 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
• ICML 2026$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
• ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
• CVPR 2026Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images
• NeurIPS 2025$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
• ICML 2025Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
• ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
• CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
• NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
• ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
• ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
• CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
• NeurIPS 2023A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
• ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
• ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
• CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
• NeurIPS 2026Approximation of Maximally Monotone Operators : A Graph Convergence Perspective
• ICML 2026Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning
• ICLR 2026Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate Modeling
• CVPR 2026HyperNAS Enhancing Architecture Representation for NAS Predictor via Hypernetwork

All General ML · supervised learning papers

731 papers, page 5 of 15

201. NeurIPS 2025Quantum Doubly Stochastic Transformers
202. NeurIPS 2025R$^2$ec: Towards Large Recommender Models with Reasoning
203. NeurIPS 2025Random Forest Autoencoders for Guided Representation Learning
204. NeurIPS 2025RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels
205. NeurIPS 2025Resource-Constrained Federated Continual Learning: What Does Matter?
206. NeurIPS 2025Revisiting Orbital Minimization Method for Neural Operator Decomposition
207. NeurIPS 2025RIGNO: A Graph-based Framework For Robust And Accurate Operator Learning For PDEs On Arbitrary Domains
208. NeurIPS 2025Robust Integrated Learning and Pauli Noise Mitigation for Parametrized Quantum Circuits
209. NeurIPS 2025Robust Label Proportions Learning
210. NeurIPS 2025Robust Minimax Boosting with Performance Guarantees
211. NeurIPS 2025Robust Regression of General ReLUs with Queries
212. NeurIPS 2025ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
213. NeurIPS 2025RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards
214. NeurIPS 2025Scaling Up Active Testing to Large Language Models
215. NeurIPS 2025Self Iterative Label Refinement via Robust Unlabeled Learning
216. NeurIPS 2025Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential
217. NeurIPS 2025Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
218. NeurIPS 2025Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration
219. NeurIPS 2025Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
220. NeurIPS 2025SHGR: A Generalized Maximal Correlation Coefficient
221. NeurIPS 2025Shortcuts and Identifiability in Concept-based Models from a Neuro-Symbolic Lens
222. NeurIPS 2025Single-Step Operator Learning for Conditioned Time-Series Diffusion Models
223. NeurIPS 2025SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.
224. NeurIPS 2025Spectral Convolutional Conditional Neural Process
225. NeurIPS 2025Spectral Learning for Infinite-Horizon Average-Reward POMDPs
226. NeurIPS 2025SPFL: Sequential updates with Parallel aggregation for Enhanced Federated Learning under Category and Domain Shifts
227. NeurIPS 2025Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array
228. NeurIPS 2025SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
229. NeurIPS 2025Stability and Oracle Inequalities for Optimal Transport Maps between General Distributions
230. NeurIPS 2025Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon
231. NeurIPS 2025Stochastic Process Learning via Operator Flow Matching
232. NeurIPS 2025T-REGS: Minimum Spanning Tree Regularization for Self-Supervised Learning
233. NeurIPS 2025TAPAS: Datasets for Learning the Learning with Errors Problem
234. NeurIPS 2025The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
235. NeurIPS 2025The Power of Iterative Filtering for Supervised Learning with (Heavy) Contamination
236. NeurIPS 2025The third pillar of causal analysis? A measurement perspective on causal representations
237. NeurIPS 2025Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
238. NeurIPS 2025Think before Recommendation: Autonomous Reasoning-enhanced Recommender
239. NeurIPS 2025Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining
240. NeurIPS 2025TITAN: A Trajectory-Informed Technique for Adaptive Parameter Freezing in Large-Scale VQE
241. NeurIPS 2025Towards a General Attention Framework on Gyrovector Spaces for Matrix Manifolds
242. NeurIPS 2025Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
243. NeurIPS 2025Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models
244. NeurIPS 2025Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree
245. NeurIPS 2025TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks
246. NeurIPS 2025TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
247. NeurIPS 2025True Zero-Shot Inference of Dynamical Systems Preserving Long-Term Statistics
248. NeurIPS 2025Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design
249. NeurIPS 2025Uncertainty-Informed Meta Pseudo Labeling for Surrogate Modeling with Limited Labeled Data
250. NeurIPS 2025Understanding Contrastive Learning via Gaussian Mixture Models

FAQ

How many General ML · supervised learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,425 in total: 263 in 2023, 511 in 2024, 372 in 2025, 279 in 2026.

How many General ML · supervised learning papers are at NeurIPS 2026?

NeurIPS 2026 has 87 General ML · supervised learning papers, versus 171 the year before.

How many General ML · supervised learning papers are at ICLR 2026?

ICLR 2026 has 48 General ML · supervised learning papers, versus 40 the year before.

How many General ML · supervised learning papers are at ICML 2026?

ICML 2026 has 111 General ML · supervised learning papers, versus 114 the year before.

How many General ML · supervised learning papers are at CVPR 2026?

CVPR 2026 has 33 General ML · supervised learning papers, versus 47 the year before.

Which conference publishes the most General ML · supervised learning papers?

NeurIPS, with 731 papers from 2023 to 2026.