General ML · unsupervised and semisupervised learning papers, 2023–2026

Key findings

• General ML · unsupervised and semisupervised learning went from 649 papers in 2023 to 799 in 2026, roughly 1.2x in three years.
• ICML publishes the most General ML · unsupervised and semisupervised learning work: 859 papers from 2023 to 2026, 32% of the four-venue total.
• The fastest-growing overlap is with Deep learning · self supervised learning: papers tagged with both rose from 23 in 2023 to 86 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #1 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
• CVPR 2026COG Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object
• NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
• ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
• ICLR 2025A General Framework for Producing Interpretable Semantic Text Embeddings
• CVPR 2025A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
• NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
• ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
• NeurIPS 2023$H$-Consistency Bounds: Characterization and Extensions
• ICML 2023A Mathematical Model for Curriculum Learning for Parities
• ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
• CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
• NeurIPS 2026Attention-based PCA
• ICML 2026A Control-Theoretic View of Mamba on Stability and Robustness
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026CROWn A Unified Framework for Anti-Aliased Downsampling and Phase-Calibrated Fusion

All General ML · unsupervised and semisupervised learning papers

682 papers, page 5 of 14

201. ICLR 2025SGD with memory: fundamental properties and stochastic acceleration
202. ICLR 2025Sharpness-Aware Minimization: General Analysis and Improved Rates
203. ICLR 2025Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
204. ICLR 2025Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
205. ICLR 2025Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
206. ICLR 2025SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG
207. ICLR 2025Spherical Tree-Sliced Wasserstein Distance
208. ICLR 2025Streaming Algorithms For $\ell_p$ Flows and $\ell_p$ Regression
209. ICLR 2025Supervised and Semi-Supervised Diffusion Maps with Label-Driven Diffusion
210. ICLR 2025Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
211. ICLR 2025Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
212. ICLR 2025T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
213. ICLR 2025The Belief State Transformer
214. ICLR 2025The Foundations of Tokenization: Statistical and Computational Concerns
215. ICLR 2025The Pitfalls of Memorization: When Memorization Hurts Generalization
216. ICLR 2025Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
217. ICLR 2025Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity
218. ICLR 2025TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis
219. ICLR 2025Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
220. ICLR 2025Towards Calibrated Deep Clustering Network
221. ICLR 2025Towards General-Purpose Model-Free Reinforcement Learning
222. ICLR 2025Towards Out-of-Modal Generalization without Instance-level Modal Correspondence
223. ICLR 2025Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
224. ICLR 2025Training Neural Networks as Recognizers of Formal Languages
225. ICLR 2025Training One-Dimensional Graph Neural Networks is NP-Hard
226. ICLR 2025Understanding the Stability-based Generalization of Personalized Federated Learning
227. ICLR 2025UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP
228. ICLR 2025Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
229. ICLR 2025Universal Image Restoration Pre-training via Degradation Classification
230. ICLR 2025Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints
231. ICLR 2025Unsupervised Meta-Learning via In-Context Learning
232. ICLR 2025Unsupervised Model Tree Heritage Recovery
233. ICLR 2025Unsupervised Multiple Kernel Learning for Graphs via Ordinality Preservation
234. ICLR 2025Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation
235. ICLR 2025URLOST: Unsupervised Representation Learning without Stationarity or Topology
236. ICLR 2025Vector-ICL: In-context Learning with Continuous Vector Representations
237. ICLR 2025WardropNet: Traffic Flow Predictions via Equilibrium-Augmented Learning
238. ICLR 2025Wasserstein-Regularized Conformal Prediction under General Distribution Shift
239. ICLR 2025What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis
240. ICLR 2025What to align in multimodal contrastive learning?
241. ICML 2025A Certified Unlearning Approach without Access to Source Data
242. ICML 2025A General Framework for Inference-time Scaling and Steering of Diffusion Models
243. ICML 2025A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
244. ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
245. ICML 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
246. ICML 2025A Sample Efficient Conditional Independence Test in the Presence of Discretization
247. ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
248. ICML 2025A Theoretical Framework For Overfitting In Energy-based Modeling
249. ICML 2025ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence
250. ICML 2025Active feature acquisition via explainability-driven ranking

FAQ

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

2,683 in total: 649 in 2023, 553 in 2024, 682 in 2025, 799 in 2026.

How many General ML · unsupervised and semisupervised learning papers are at NeurIPS 2026?

NeurIPS 2026 has 194 General ML · unsupervised and semisupervised learning papers, versus 203 the year before.

How many General ML · unsupervised and semisupervised learning papers are at ICLR 2026?

ICLR 2026 has 187 General ML · unsupervised and semisupervised learning papers, versus 174 the year before.

How many General ML · unsupervised and semisupervised learning papers are at ICML 2026?

ICML 2026 has 348 General ML · unsupervised and semisupervised learning papers, versus 239 the year before.

How many General ML · unsupervised and semisupervised learning papers are at CVPR 2026?

CVPR 2026 has 70 General ML · unsupervised and semisupervised learning papers, versus 66 the year before.

Which conference publishes the most General ML · unsupervised and semisupervised learning papers?

ICML, with 859 papers from 2023 to 2026.