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 9 of 14

401. ICML 2025Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
402. ICML 2025Position: AI Scaling: From Up to Down and Out
403. ICML 2025Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
404. ICML 2025Positive-unlabeled AUC Maximization under Covariate Shift
405. ICML 2025Predicting the Susceptibility of Examples to Catastrophic Forgetting
406. ICML 2025Predictive Performance of Deep Quantum Data Re-uploading Models
407. ICML 2025Projection Pursuit Density Ratio Estimation
408. ICML 2025Proto Successor Measure: Representing the Behavior Space of an RL Agent
409. ICML 2025Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
410. ICML 2025QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
411. ICML 2025Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
412. ICML 2025Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss
413. ICML 2025Relational Conformal Prediction for Correlated Time Series
414. ICML 2025Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
415. ICML 2025ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
416. ICML 2025Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding
417. ICML 2025Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
418. ICML 2025Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation
419. ICML 2025Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
420. ICML 2025Sample Complexity of Branch-length Estimation by Maximum Likelihood
421. ICML 2025Sample Efficient Demonstration Selection for In-Context Learning
422. ICML 2025Scalable Model Merging with Progressive Layer-wise Distillation
423. ICML 2025SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
424. ICML 2025Score Matching with Missing Data
425. ICML 2025SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
426. ICML 2025Self-Discriminative Modeling for Anomalous Graph Detection
427. ICML 2025Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
428. ICML 2025SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization
429. ICML 2025Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
430. ICML 2025Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
431. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
432. ICML 2025Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment
433. ICML 2025Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
434. ICML 2025Stochastic Online Conformal Prediction with Semi-Bandit Feedback
435. ICML 2025Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
436. ICML 2025Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters
437. ICML 2025Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
438. ICML 2025Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
439. ICML 2025Survival Analysis via Density Estimation
440. ICML 2025TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization
441. ICML 2025TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion
442. ICML 2025Tensor Decomposition Based Memory-Efficient Incremental Learning
443. ICML 2025The Batch Complexity of Bandit Pure Exploration
444. ICML 2025The Complexity of Learning Sparse Superposed Features with Feedback
445. ICML 2025The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
446. ICML 2025The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes
447. ICML 2025The Relationship Between No-Regret Learning and Online Conformal Prediction
448. ICML 2025Tight and Fast Bounds for Multi-Label Learning
449. ICML 2025Time Series Representations with Hard-Coded Invariances
450. ICML 2025TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation

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.