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

859 papers, page 10 of 18

451. ICML 2025iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
452. ICML 2025Improved and Oracle-Efficient Online $\ell_1$-Multicalibration
453. ICML 2025Improved Coresets for Vertical Federated Learning: Regularized Linear and Logistic Regressions
454. ICML 2025Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
455. ICML 2025Improving Multimodal Learning Balance and Sufficiency through Data Remixing
456. ICML 2025In-Context Learning and Occam's Razor
457. ICML 2025Joint Metric Space Embedding by Unbalanced Optimal Transport with Gromov–Wasserstein Marginal Penalization
458. ICML 2025KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
459. ICML 2025Kernel Quantile Embeddings and Associated Probability Metrics
460. ICML 2025Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models
461. ICML 2025KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
462. ICML 2025Label Distribution Propagation-based Label Completion for Crowdsourcing
463. ICML 2025Learning Changes in Graphon Attachment Network Models
464. ICML 2025Learning Distances from Data with Normalizing Flows and Score Matching
465. ICML 2025Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
466. ICML 2025Learning from Sample Stability for Deep Clustering
467. ICML 2025Learning Imbalanced Data with Beneficial Label Noise
468. ICML 2025Learning Optimal Multimodal Information Bottleneck Representations
469. ICML 2025Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
470. ICML 2025Learning Single Index Models with Diffusion Priors
471. ICML 2025Learning to Match Unpaired Data with Minimum Entropy Coupling
472. ICML 2025Learnware Specification via Dual Alignment
473. ICML 2025Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
474. ICML 2025LightGTS: A Lightweight General Time Series Forecasting Model
475. ICML 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
476. ICML 2025Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
477. ICML 2025Linear Contextual Bandits With Interference
478. ICML 2025Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
479. ICML 2025Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
480. ICML 2025LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
481. ICML 2025MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
482. ICML 2025Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
483. ICML 2025Mixed-curvature decision trees and random forests
484. ICML 2025Model Immunization from a Condition Number Perspective
485. ICML 2025Modified K-means Algorithm with Local Optimality Guarantees
486. ICML 2025Multivariate Conformal Selection
487. ICML 2025NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
488. ICML 2025Nested Expectations with Kernel Quadrature
489. ICML 2025Neurosymbolic World Models for Sequential Decision Making
490. ICML 2025No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
491. ICML 2025No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization
492. ICML 2025Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
493. ICML 2025Nonparametric Identification of Latent Concepts
494. ICML 2025On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
495. ICML 2025On Path to Multimodal Generalist: General-Level and General-Bench
496. ICML 2025On the Diversity of Adversarial Ensemble Learning
497. ICML 2025On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
498. ICML 2025On the Power of Learning-Augmented Search Trees
499. ICML 2025On Volume Minimization in Conformal Regression
500. ICML 2025One-Pass Feature Evolvable Learning with Theoretical Guarantees

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.