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

239 papers, page 4 of 5

151. ICML 2025On Volume Minimization in Conformal Regression
152. ICML 2025One-Pass Feature Evolvable Learning with Theoretical Guarantees
153. ICML 2025Online Clustering of Dueling Bandits
154. ICML 2025Online Learning in the Random-Order Model
155. ICML 2025Optimal transport-based conformal prediction
156. ICML 2025Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
157. ICML 2025Permutation-Free High-Order Interaction Tests
158. ICML 2025Pfeife: Automatic Pipeline Parallelism for PyTorch
159. ICML 2025Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
160. ICML 2025Point-Level Topological Representation Learning on Point Clouds
161. ICML 2025Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
162. ICML 2025Position: AI Scaling: From Up to Down and Out
163. ICML 2025Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
164. ICML 2025Positive-unlabeled AUC Maximization under Covariate Shift
165. ICML 2025Predicting the Susceptibility of Examples to Catastrophic Forgetting
166. ICML 2025Predictive Performance of Deep Quantum Data Re-uploading Models
167. ICML 2025Projection Pursuit Density Ratio Estimation
168. ICML 2025Proto Successor Measure: Representing the Behavior Space of an RL Agent
169. ICML 2025Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
170. ICML 2025QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
171. ICML 2025Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
172. ICML 2025Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss
173. ICML 2025Relational Conformal Prediction for Correlated Time Series
174. ICML 2025Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
175. ICML 2025ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
176. ICML 2025Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding
177. ICML 2025Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
178. ICML 2025Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation
179. ICML 2025Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
180. ICML 2025Sample Complexity of Branch-length Estimation by Maximum Likelihood
181. ICML 2025Sample Efficient Demonstration Selection for In-Context Learning
182. ICML 2025Scalable Model Merging with Progressive Layer-wise Distillation
183. ICML 2025SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
184. ICML 2025Score Matching with Missing Data
185. ICML 2025SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
186. ICML 2025Self-Discriminative Modeling for Anomalous Graph Detection
187. ICML 2025Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
188. ICML 2025SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization
189. ICML 2025Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
190. ICML 2025Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
191. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
192. ICML 2025Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment
193. ICML 2025Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
194. ICML 2025Stochastic Online Conformal Prediction with Semi-Bandit Feedback
195. ICML 2025Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
196. ICML 2025Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters
197. ICML 2025Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
198. ICML 2025Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
199. ICML 2025Survival Analysis via Density Estimation
200. ICML 2025TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization

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.