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 7 of 12

301. ICLR 2024Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
302. ICLR 2024Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark
303. ICLR 2024Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
304. ICLR 2024Towards Meta-Pruning via Optimal Transport
305. ICLR 2024Transferring Learning Trajectories of Neural Networks
306. ICLR 2024Transformer Fusion with Optimal Transport
307. ICLR 2024Transformers can optimally learn regression mixture models
308. ICLR 2024Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
309. ICLR 2024Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
310. ICLR 2024Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
311. ICLR 2024Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
312. ICLR 2024UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
313. ICLR 2024Unsupervised Order Learning
314. ICLR 2024Unsupervised Pretraining for Fact Verification by Language Model Distillation
315. ICLR 2024Video Decomposition Prior: Editing Videos Layer by Layer
316. ICLR 2024VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
317. ICLR 2024Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
318. ICLR 2024What does automatic differentiation compute for neural networks?
319. ICLR 2024When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
320. ICLR 2024Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
321. ICML 2024A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
322. ICML 2024A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
323. ICML 2024A General Framework for Learning from Weak Supervision
324. ICML 2024A General Framework for Sequential Decision-Making under Adaptivity Constraints
325. ICML 2024A General Online Algorithm for Optimizing Complex Performance Metrics
326. ICML 2024A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
327. ICML 2024A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle
328. ICML 2024A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation
329. ICML 2024A3S: A General Active Clustering Method with Pairwise Constraints
330. ICML 2024Agent Instructs Large Language Models to be General Zero-Shot Reasoners
331. ICML 2024Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
332. ICML 2024Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
333. ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
334. ICML 2024An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
335. ICML 2024An Unsupervised Approach for Periodic Source Detection in Time Series
336. ICML 2024Averaging $n$-step Returns Reduces Variance in Reinforcement Learning
337. ICML 2024Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
338. ICML 2024Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium
339. ICML 2024Causal Representation Learning from Multiple Distributions: A General Setting
340. ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
341. ICML 2024Collaborative Learning with Different Labeling Functions
342. ICML 2024Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
343. ICML 2024Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
344. ICML 2024Constrained Ensemble Exploration for Unsupervised Skill Discovery
345. ICML 2024Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
346. ICML 2024Convergence of Some Convex Message Passing Algorithms to a Fixed Point
347. ICML 2024convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data
348. ICML 2024Debating with More Persuasive LLMs Leads to More Truthful Answers
349. ICML 2024DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
350. ICML 2024Discovering Bias in Latent Space: An Unsupervised Debiasing Approach

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.