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

187 papers, page 1 of 4

1. ICLR 2026(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
2. ICLR 2026A Bayesian Nonparametric Framework For Learning Disentangled Representations
3. ICLR 2026A General Framework for Black-Box Attacks Under Cost Asymmetry
4. ICLR 2026A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting
5. ICLR 2026A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
6. ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
7. ICLR 2026A universal compression theory: Lottery ticket hypothesis and superpolynomial scaling laws
8. ICLR 2026Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms
9. ICLR 2026Active Learning of 3D Gaussian Splatting with Consistent Region Partition and Robust Pose Estimation
10. ICLR 2026Aligning Collaborative View Recovery and Tensorial Subspace Learning via Latent Representation for Incomplete Multi-View Clustering
11. ICLR 2026AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
12. ICLR 2026Angle K-Means
13. ICLR 2026AnyUp: Universal Feature Upsampling
14. ICLR 2026APPLE: Toward General Active Perception via Reinforcement Learning
15. ICLR 2026Astra: General Interactive World Model with Autoregressive Denoising
16. ICLR 2026ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
17. ICLR 2026BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
18. ICLR 2026Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
19. ICLR 2026Bi-Lipschitz Autoencoder With Injectivity Guarantee
20. ICLR 2026BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals
21. ICLR 2026Boosting Open Set Recognition Performance through Modulated Representation Learning
22. ICLR 2026Breaking Gradient Temporal Collinearity for Robust Spiking Neural Networks
23. ICLR 2026Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
24. ICLR 2026Cartridges: Lightweight and general-purpose long context representations via self-study
25. ICLR 2026CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
26. ICLR 2026Closing the Modality Gap Aligns Group-Wise Semantics
27. ICLR 2026CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow-Map Models
28. ICLR 2026COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences
29. ICLR 2026Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing
30. ICLR 2026Conformalized Survival Counterfactuals Prediction for General Right-Censored Data
31. ICLR 2026Constant Degree Matrix-Driven Incomplete Multi-View Clustering via Connectivity-Structure and Embedding Tensor Learning
32. ICLR 2026Context and Diversity Matter: The Emergence of In-Context Learning in World Models
33. ICLR 2026Contrastive Predictive Coding Done Right for Mutual Information Estimation
34. ICLR 2026Convergence Analysis of Tsetlin Machines under Noise-Free and Noisy Training Conditions: from $2$ Bits to $k$ Bits
35. ICLR 2026Convergence of Regret Matching in Potential Games and Constrained Optimization
36. ICLR 2026Convergent Differential Privacy Analysis for General Federated Learning
37. ICLR 2026COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
38. ICLR 2026Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal Transport
39. ICLR 2026CSRv2: Unlocking Ultra-Sparse Embeddings
40. ICLR 2026CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model
41. ICLR 2026Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence
42. ICLR 2026DAVE: A VLM Vision Encoder for Document Understanding and Web Agents
43. ICLR 2026Debiased and Denoised Projection Learning for Incomplete Multi-view Clustering
44. ICLR 2026Debugging Concept Bottleneck Models through Removal and Retraining
45. ICLR 2026Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning
46. ICLR 2026Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
47. ICLR 2026Decoupling Positional and Symbolic Attention in Transformers
48. ICLR 2026Decoupling the Class Label and the Target Concept in Machine Unlearning
49. ICLR 2026DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification
50. ICLR 2026Difference Predictive Coding for Training Spiking Neural Networks

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.