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

553 papers, page 5 of 12

201. ICLR 2024Learning interpretable control inputs and dynamics underlying animal locomotion
202. ICLR 2024Learning invariant representations of time-homogeneous stochastic dynamical systems
203. ICLR 2024Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)
204. ICLR 2024Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance
205. ICLR 2024Learning to Compose: Improving Object Centric Learning by Injecting Compositionality
206. ICLR 2024Learning to Embed Time Series Patches Independently
207. ICLR 2024LEMON: Lossless model expansion
208. ICLR 2024Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
209. ICLR 2024LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
210. ICLR 2024LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
211. ICLR 2024Linear Log-Normal Attention with Unbiased Concentration
212. ICLR 2024Looped Transformers are Better at Learning Learning Algorithms
213. ICLR 2024M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
214. ICLR 2024Masked Completion via Structured Diffusion with White-Box Transformers
215. ICLR 2024Masked Structural Growth for 2x Faster Language Model Pre-training
216. ICLR 2024Masks, Signs, And Learning Rate Rewinding
217. ICLR 2024Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
218. ICLR 2024Memorization in Self-Supervised Learning Improves Downstream Generalization
219. ICLR 2024MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
220. ICLR 2024METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
221. ICLR 2024ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis
222. ICLR 2024Modulate Your Spectrum in Self-Supervised Learning
223. ICLR 2024Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
224. ICLR 2024Multi-View Causal Representation Learning with Partial Observability
225. ICLR 2024Multilinear Operator Networks
226. ICLR 2024Multimodal Patient Representation Learning with Missing Modalities and Labels
227. ICLR 2024Multiscale Positive-Unlabeled Detection of AI-Generated Texts
228. ICLR 2024NetInfoF Framework: Measuring and Exploiting Network Usable Information
229. ICLR 2024Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
230. ICLR 2024Neural Active Learning Beyond Bandits
231. ICLR 2024Neural Fourier Transform: A General Approach to Equivariant Representation Learning
232. ICLR 2024Neural Language of Thought Models
233. ICLR 2024Neural Optimal Transport with General Cost Functionals
234. ICLR 2024Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
235. ICLR 2024Non-negative Contrastive Learning
236. ICLR 2024Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
237. ICLR 2024NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
238. ICLR 2024ODEFormer: Symbolic Regression of Dynamical Systems with Transformers
239. ICLR 2024OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
240. ICLR 2024On Bias-Variance Alignment in Deep Models
241. ICLR 2024On Harmonizing Implicit Subpopulations
242. ICLR 2024On the Generalization and Approximation Capacities of Neural Controlled Differential Equations
243. ICLR 2024On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
244. ICLR 2024On the Provable Advantage of Unsupervised Pretraining
245. ICLR 2024On the Role of General Function Approximation in Offline Reinforcement Learning
246. ICLR 2024P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
247. ICLR 2024Parallelizing non-linear sequential models over the sequence length
248. ICLR 2024Parametric Augmentation for Time Series Contrastive Learning
249. ICLR 2024Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution
250. ICLR 2024Perceptual Group Tokenizer: Building Perception with Iterative Grouping

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.