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

2,682 papers, page 26 of 54

1251. ICML 2025Towards an Explainable Comparison and Alignment of Feature Embeddings
1252. ICML 2025Towards Lifelong Model Editing via Simulating Ideal Editor
1253. ICML 2025Towards Robustness and Explainability of Automatic Algorithm Selection
1254. ICML 2025Towards the Causal Complete Cause of Multi-Modal Representation Learning
1255. ICML 2025Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
1256. ICML 2025Towards Understanding Parametric Generalized Category Discovery on Graphs
1257. ICML 2025Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints
1258. ICML 2025UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance
1259. ICML 2025Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
1260. ICML 2025Unified K-Means Clustering with Label-Guided Manifold Learning
1261. ICML 2025Universal Neural Optimal Transport
1262. ICML 2025unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
1263. ICML 2025Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
1264. ICML 2025Unsupervised Learning for Class Distribution Mismatch
1265. ICML 2025Update Your Transformer to the Latest Release: Re-Basin of Task Vectors
1266. ICML 2025Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting
1267. ICML 2025Verification Learning: Make Unsupervised Neuro-Symbolic System Feasible
1268. ICML 2025Vision-Language Model Selection and Reuse for Downstream Adaptation
1269. ICML 2025Volume Optimality in Conformal Prediction with Structured Prediction Sets
1270. ICML 2025Volume-Aware Distance for Robust Similarity Learning
1271. ICML 2025Wait-Less Offline Tuning and Re-solving for Online Decision Making
1272. ICML 2025Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
1273. ICML 2025Weakly-Supervised Contrastive Learning for Imprecise Class Labels
1274. ICML 2025When Bad Data Leads to Good Models
1275. ICML 2025When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need
1276. ICML 2025Whoever Started the interference Should End It: Guiding Data-Free Model Merging via Task Vectors
1277. ICML 2025Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer
1278. NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
1279. NeurIPS 2025A Bayesian Approach to Contextual Dynamic Pricing using the Proportional Hazards Model with Discrete Price Data
1280. NeurIPS 2025A Closer Look to Positive-Unlabeled Learning from Fine-grained Perspectives: An Empirical Study
1281. NeurIPS 2025A faster training algorithm for regression trees with linear leaves, and an analysis of its complexity
1282. NeurIPS 2025A Few Moments Please: Scalable Graphon Learning via Moment Matching
1283. NeurIPS 2025A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging
1284. NeurIPS 2025A$^3$E: Towards Compositional Model Editing
1285. NeurIPS 2025Active Seriation: Efficient Ordering Recovery with Statistical Guarantees
1286. NeurIPS 2025Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory
1287. NeurIPS 2025Addressing Mark Imbalance in Integration-free Marked Temporal Point Processes
1288. NeurIPS 2025Algorithms and SQ Lower Bounds for Robustly Learning Real-valued Multi-Index Models
1289. NeurIPS 2025AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
1290. NeurIPS 2025AnaCP: Toward Upper-Bound Continual Learning via Analytic Contrastive Projection
1291. NeurIPS 2025Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
1292. NeurIPS 2025Ascent Fails to Forget
1293. NeurIPS 2025Asymptotic theory of SGD with a general learning-rate
1294. NeurIPS 2025Attention-based clustering
1295. NeurIPS 2025Autoencoding Random Forests
1296. NeurIPS 2025Balancing Gradient and Hessian Queries in Non-Convex Optimization
1297. NeurIPS 2025Balancing Performance and Costs in Best Arm Identification
1298. NeurIPS 2025Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning
1299. NeurIPS 2025Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability
1300. NeurIPS 2025Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification

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.