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

306 papers, page 4 of 7

151. CVPR 2024Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
152. CVPR 2024CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers
153. CVPR 2024Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images
154. CVPR 2024Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
155. CVPR 2024DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
156. CVPR 2024Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion
157. CVPR 2024Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
158. CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
159. CVPR 2024EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
160. CVPR 2024EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
161. CVPR 2024ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations
162. CVPR 2024Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
163. CVPR 2024FADES: Fair Disentanglement with Sensitive Relevance
164. CVPR 2024Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
165. CVPR 2024FreePoint: Unsupervised Point Cloud Instance Segmentation
166. CVPR 2024General Object Foundation Model for Images and Videos at Scale
167. CVPR 2024General Point Model Pretraining with Autoencoding and Autoregressive
168. CVPR 2024Guided Slot Attention for Unsupervised Video Object Segmentation
169. CVPR 2024Hierarchical Correlation Clustering and Tree Preserving Embedding
170. CVPR 2024HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
171. CVPR 2024HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
172. CVPR 2024HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
173. CVPR 2024IDGuard: Robust General Identity-centric POI Proactive Defense Against Face Editing Abuse
174. CVPR 2024Improving Unsupervised Hierarchical Representation with Reinforcement Learning
175. CVPR 2024Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning
176. CVPR 2024Jack of All Tasks Master of Many: Designing General-Purpose Coarse-to-Fine Vision-Language Model
177. CVPR 2024Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
178. CVPR 2024Learning to Count without Annotations
179. CVPR 2024LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction
180. CVPR 2024M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection
181. CVPR 2024MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
182. CVPR 2024Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
183. CVPR 2024Move Anything with Layered Scene Diffusion
184. CVPR 2024MR-VNet: Media Restoration using Volterra Networks
185. CVPR 2024NightCC: Nighttime Color Constancy via Adaptive Channel Masking
186. CVPR 2024NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
187. CVPR 2024Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding
188. CVPR 2024OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
189. CVPR 2024Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery
190. CVPR 2024PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
191. CVPR 2024Rethinking Multi-domain Generalization with A General Learning Objective
192. CVPR 2024Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
193. CVPR 2024SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes
194. CVPR 2024Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation
195. CVPR 2024SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
196. CVPR 2024Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification
197. CVPR 2024Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
198. CVPR 2024Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
199. CVPR 2024Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
200. CVPR 2024Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation

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.