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

649 papers, page 5 of 13

201. ICML 2023ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
202. ICML 2023Conditions and Assumptions for Constraint-based Causal Structure Learning
203. ICML 2023Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
204. ICML 2023Continual Learners are Incremental Model Generalizers
205. ICML 2023Contrastive Learning Meets Homophily: Two Birds with One Stone
206. ICML 2023Controllability-Aware Unsupervised Skill Discovery
207. ICML 2023Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
208. ICML 2023Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
209. ICML 2023Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
210. ICML 2023Deterministic equivalent and error universality of deep random features learning
211. ICML 2023Differentiable and Transportable Structure Learning
212. ICML 2023Dimensionality Reduction for General KDE Mode Finding
213. ICML 2023Discovering Object-Centric Generalized Value Functions From Pixels
214. ICML 2023Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
215. ICML 2023DUET: 2D Structured and Approximately Equivariant Representations
216. ICML 2023Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
217. ICML 2023E$(n)$ Equivariant Message Passing Simplicial Networks
218. ICML 2023Effective Structured Prompting by Meta-Learning and Representative Verbalizer
219. ICML 2023Entropy-driven Unsupervised Keypoint Representation Learning in Videos
220. ICML 2023Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
221. ICML 2023Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
222. ICML 2023Evaluating Unsupervised Denoising Requires Unsupervised Metrics
223. ICML 2023Evidential Interactive Learning for Medical Image Captioning
224. ICML 2023FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
225. ICML 2023Fair and Optimal Classification via Post-Processing
226. ICML 2023Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
227. ICML 2023Fair yet Asymptotically Equal Collaborative Learning
228. ICML 2023Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
229. ICML 2023Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
230. ICML 2023FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
231. ICML 2023From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
232. ICML 2023From Robustness to Privacy and Back
233. ICML 2023Fully Dynamic Submodular Maximization over Matroids
234. ICML 2023Fundamental Tradeoffs in Learning with Prior Information
235. ICML 2023Future-conditioned Unsupervised Pretraining for Decision Transformer
236. ICML 2023General Covariance Data Augmentation for Neural PDE Solvers
237. ICML 2023General Sequential Episodic Memory Model
238. ICML 2023Generalization Bounds using Data-Dependent Fractal Dimensions
239. ICML 2023Generalized Disparate Impact for Configurable Fairness Solutions in ML
240. ICML 2023Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
241. ICML 2023GNOT: A General Neural Operator Transformer for Operator Learning
242. ICML 2023Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
243. ICML 2023GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
244. ICML 2023Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
245. ICML 2023Hyperbolic Representation Learning: Revisiting and Advancing
246. ICML 2023Hyperparameters in Reinforcement Learning and How To Tune Them
247. ICML 2023Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
248. ICML 2023Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
249. ICML 2023Inflow, Outflow, and Reciprocity in Machine Learning
250. ICML 2023JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift

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.