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

684 papers, page 5 of 14

201. ICLR 2025Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
202. ICLR 2025Breaking the Reclustering Barrier in Centroid-based Deep Clustering
203. ICLR 2025Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning
204. ICLR 2025Captured by Captions: On Memorization and its Mitigation in CLIP Models
205. ICLR 2025CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale
206. ICLR 2025Conformalized Survival Analysis for General Right-Censored Data
207. ICLR 2025ConMix: Contrastive Mixup at Representation Level for Long-tailed Deep Clustering
208. ICLR 2025Content-Style Learning from Unaligned Domains: Identifiability under Unknown Latent Dimensions
209. ICLR 2025COPER: Correlation-based Permutations for Multi-View Clustering
210. ICLR 2025CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
211. ICLR 2025Cross-Entropy Is All You Need To Invert the Data Generating Process
212. ICLR 2025CtD: Composition through Decomposition in Emergent Communication
213. ICLR 2025Deep Weight Factorization: Sparse Learning Through the Lens of Artificial Symmetries
214. ICLR 2025Difference-of-submodular Bregman Divergence
215. ICLR 2025Differentiable Integer Linear Programming
216. ICLR 2025DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
217. ICLR 2025Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
218. ICLR 2025Discovering Temporally Compositional Neural Manifolds with Switching Infinite GPFA
219. ICLR 2025Discrete Latent Plans via Semantic Skill Abstractions
220. ICLR 2025Disentangled Representation Learning with the Gromov-Monge Gap
221. ICLR 2025Distance-Based Tree-Sliced Wasserstein Distance
222. ICLR 2025Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want
223. ICLR 2025Dreamweaver: Learning Compositional World Models from Pixels
224. ICLR 2025Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
225. ICLR 2025Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax
226. ICLR 2025ElasticTok: Adaptive Tokenization for Image and Video
227. ICLR 2025Elliptic Loss Regularization
228. ICLR 2025EmbedLLM: Learning Compact Representations of Large Language Models
229. ICLR 2025Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary
230. ICLR 2025Exploring a Principled Framework for Deep Subspace Clustering
231. ICLR 2025Extending Mercer's expansion to indefinite and asymmetric kernels
232. ICLR 2025FairDen: Fair Density-Based Clustering
233. ICLR 2025Fast unsupervised ground metric learning with tree-Wasserstein distance
234. ICLR 2025Flash Inference: Near Linear Time Inference for Long Convolution Sequence Models and Beyond
235. ICLR 2025Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
236. ICLR 2025For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
237. ICLR 2025Forget the Data and Fine-Tuning! Just Fold the Network to Compress
238. ICLR 2025Formation of Representations in Neural Networks
239. ICLR 2025GaussianBlock: Building Part-Aware Compositional and Editable 3D Scene by Primitives and Gaussians
240. ICLR 2025GDrag:Towards General-Purpose Interactive Editing with Anti-ambiguity Point Diffusion
241. ICLR 2025General Scene Adaptation for Vision-and-Language Navigation
242. ICLR 2025Generalized Behavior Learning from Diverse Demonstrations
243. ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
244. ICLR 2025Global Identifiability of Overcomplete Dictionary Learning via L1 and Volume Minimization
245. ICLR 2025Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
246. ICLR 2025Gramian Multimodal Representation Learning and Alignment
247. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
248. ICLR 2025Gyrogroup Batch Normalization
249. ICLR 2025HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS
250. ICLR 2025HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters

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.