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 7 of 14

301. ICML 2025Discovering a Zero (Zero-Vector Class of Machine Learning)
302. ICML 2025Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
303. ICML 2025Distributional Diffusion Models with Scoring Rules
304. ICML 2025Diversified Flow Matching with Translation Identifiability
305. ICML 2025Divide and Conquer: Learning Label Distribution with Subtasks
306. ICML 2025Does learning the right latent variables necessarily improve in-context learning?
307. ICML 2025Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant
308. ICML 2025Dueling Convex Optimization with General Preferences
309. ICML 2025E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
310. ICML 2025Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set
311. ICML 2025Efficient Core-set Selection for Deep Learning Through Squared Loss Minimization
312. ICML 2025Efficient Network Automatic Relevance Determination
313. ICML 2025ELMO : Efficiency via Low-precision and Peak Memory Optimization in Large Output Spaces
314. ICML 2025Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers
315. ICML 2025Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing
316. ICML 2025ENSUR: Equitable and Statistically Unbiased Recommendation
317. ICML 2025Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects
318. ICML 2025Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
319. ICML 2025Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
320. ICML 2025Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
321. ICML 2025Fast Min-$\epsilon$ Segmented Regression using Constant-Time Segment Merging
322. ICML 2025FedClean: A General Robust Label Noise Correction for Federated Learning
323. ICML 2025FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
324. ICML 2025Foundation Model Insights and a Multi-Model Approach for Superior Fine-Grained One-shot Subset Selection
325. ICML 2025From Logits to Hierarchies: Hierarchical Clustering made Simple
326. ICML 2025Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
327. ICML 2025Fusing Reward and Dueling Feedback in Stochastic Bandits
328. ICML 2025GEFA: A General Feature Attribution Framework Using Proxy Gradient Estimation
329. ICML 2025Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
330. ICML 2025Generalization Performance of Ensemble Clustering: From Theory to Algorithm
331. ICML 2025Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
332. ICML 2025Generalized Interpolating Discrete Diffusion
333. ICML 2025Geometric Contact Flows: Contactomorphisms for Dynamics and Control
334. ICML 2025Gradient Aligned Regression via Pairwise Losses
335. ICML 2025GTR: A General, Multi-View, and Dynamic Framework for Trajectory Representation Learning
336. ICML 2025Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
337. ICML 2025Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update
338. ICML 2025Heterogeneous Sufficient Dimension Reduction and Subspace Clustering
339. ICML 2025Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
340. ICML 2025Hierarchical Refinement: Optimal Transport to Infinity and Beyond
341. ICML 2025HiRemate: Hierarchical Approach for Efficient Re-materialization of Neural Networks
342. ICML 2025How Do Large Language Monkeys Get Their Power (Laws)?
343. ICML 2025iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
344. ICML 2025Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
345. ICML 2025Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
346. ICML 2025Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
347. ICML 2025Improving Multimodal Learning Balance and Sufficiency through Data Remixing
348. ICML 2025In-Context Learning and Occam's Razor
349. ICML 2025Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
350. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks

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.