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 8 of 14

351. ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
352. ICML 2025Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
353. ICML 2025KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
354. ICML 2025Label Distribution Propagation-based Label Completion for Crowdsourcing
355. ICML 2025Learning Changes in Graphon Attachment Network Models
356. ICML 2025Learning Distances from Data with Normalizing Flows and Score Matching
357. ICML 2025Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
358. ICML 2025Learning from Sample Stability for Deep Clustering
359. ICML 2025Learning Imbalanced Data with Beneficial Label Noise
360. ICML 2025Learning Optimal Multimodal Information Bottleneck Representations
361. ICML 2025Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
362. ICML 2025Learning Single Index Models with Diffusion Priors
363. ICML 2025Learning to Match Unpaired Data with Minimum Entropy Coupling
364. ICML 2025Learnware Specification via Dual Alignment
365. ICML 2025Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
366. ICML 2025LightGTS: A Lightweight General Time Series Forecasting Model
367. ICML 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
368. ICML 2025Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
369. ICML 2025Linear Contextual Bandits With Interference
370. ICML 2025Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
371. ICML 2025Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
372. ICML 2025LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
373. ICML 2025MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
374. ICML 2025Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
375. ICML 2025Mixed-curvature decision trees and random forests
376. ICML 2025Model Immunization from a Condition Number Perspective
377. ICML 2025Modified K-means Algorithm with Local Optimality Guarantees
378. ICML 2025Multivariate Conformal Selection
379. ICML 2025NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
380. ICML 2025Nested Expectations with Kernel Quadrature
381. ICML 2025Neurosymbolic World Models for Sequential Decision Making
382. ICML 2025No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
383. ICML 2025No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization
384. ICML 2025Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
385. ICML 2025Nonparametric Identification of Latent Concepts
386. ICML 2025On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
387. ICML 2025On Path to Multimodal Generalist: General-Level and General-Bench
388. ICML 2025On the Diversity of Adversarial Ensemble Learning
389. ICML 2025On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
390. ICML 2025On the Power of Learning-Augmented Search Trees
391. ICML 2025On Volume Minimization in Conformal Regression
392. ICML 2025One-Pass Feature Evolvable Learning with Theoretical Guarantees
393. ICML 2025Online Clustering of Dueling Bandits
394. ICML 2025Online Learning in the Random-Order Model
395. ICML 2025Optimal transport-based conformal prediction
396. ICML 2025Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
397. ICML 2025Permutation-Free High-Order Interaction Tests
398. ICML 2025Pfeife: Automatic Pipeline Parallelism for PyTorch
399. ICML 2025Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
400. ICML 2025Point-Level Topological Representation Learning on Point Clouds

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.