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 11 of 18

501. ICML 2025Online Clustering of Dueling Bandits
502. ICML 2025Online Learning in the Random-Order Model
503. ICML 2025Optimal transport-based conformal prediction
504. ICML 2025Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
505. ICML 2025Permutation-Free High-Order Interaction Tests
506. ICML 2025Pfeife: Automatic Pipeline Parallelism for PyTorch
507. ICML 2025Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
508. ICML 2025Point-Level Topological Representation Learning on Point Clouds
509. ICML 2025Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
510. ICML 2025Position: AI Scaling: From Up to Down and Out
511. ICML 2025Position: In-House Evaluation Is Not Enough. Towards Robust Third-Party Evaluation and Flaw Disclosure for General-Purpose AI
512. ICML 2025Positive-unlabeled AUC Maximization under Covariate Shift
513. ICML 2025Predicting the Susceptibility of Examples to Catastrophic Forgetting
514. ICML 2025Predictive Performance of Deep Quantum Data Re-uploading Models
515. ICML 2025Projection Pursuit Density Ratio Estimation
516. ICML 2025Proto Successor Measure: Representing the Behavior Space of an RL Agent
517. ICML 2025Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
518. ICML 2025QUTE: Quantifying Uncertainty in TinyML models with Early-exit-assisted ensembles for model-monitoring
519. ICML 2025Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
520. ICML 2025Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss
521. ICML 2025Relational Conformal Prediction for Correlated Time Series
522. ICML 2025Residual TPP: A Unified Lightweight Approach for Event Stream Data Analysis
523. ICML 2025ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
524. ICML 2025Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding
525. ICML 2025Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
526. ICML 2025Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation
527. ICML 2025Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
528. ICML 2025Sample Complexity of Branch-length Estimation by Maximum Likelihood
529. ICML 2025Sample Efficient Demonstration Selection for In-Context Learning
530. ICML 2025Scalable Model Merging with Progressive Layer-wise Distillation
531. ICML 2025SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
532. ICML 2025Score Matching with Missing Data
533. ICML 2025SEAD: Unsupervised Ensemble of Streaming Anomaly Detectors
534. ICML 2025Self-Discriminative Modeling for Anomalous Graph Detection
535. ICML 2025Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges
536. ICML 2025SKIM: Any-bit Quantization Pushing The Limits of Post-Training Quantization
537. ICML 2025Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
538. ICML 2025Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
539. ICML 2025Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
540. ICML 2025Square$\chi$PO: Differentially Private and Robust $\chi^2$-Preference Optimization in Offline Direct Alignment
541. ICML 2025Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances
542. ICML 2025Stochastic Online Conformal Prediction with Semi-Bandit Feedback
543. ICML 2025Strategic A/B testing via Maximum Probability-driven Two-armed Bandit
544. ICML 2025Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters
545. ICML 2025Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
546. ICML 2025Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models
547. ICML 2025Survival Analysis via Density Estimation
548. ICML 2025TANGO: Clustering with Typicality-Aware Nonlocal Mode-Seeking and Graph-Cut Optimization
549. ICML 2025TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion
550. ICML 2025Tensor Decomposition Based Memory-Efficient Incremental Learning

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.