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

194 papers, page 1 of 4

1. NeurIPS 2026$f$-GRPO & Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment
2. NeurIPS 2026A General Concept-based Decomposition for Vision–Language Embeddings
3. NeurIPS 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
4. NeurIPS 2026A mathematical theory of balancing relational generalization and memorization
5. NeurIPS 2026Algorithms for Linear Equations with Min and Max Operators Under (Absolutely) Halting Condition
6. NeurIPS 2026An Analytical Model of Compute-limited Multistage Training Pipelines
7. NeurIPS 2026Anchor PCA
8. NeurIPS 2026Approximation in Contrastive Representation Learning
9. NeurIPS 2026Asymmetric Generalization in Deep CTR Models: A Block-wise Diagnosis
10. NeurIPS 2026Attention-based PCA
11. NeurIPS 2026Attention-Based Pretraining for Unsupervised Amortized Causal Discovery
12. NeurIPS 2026Batched Stochastic Linear Bandits with 1-Bit Communication Constraints
13. NeurIPS 2026BDC-Merge: Cross-Architecture Model Merging via Dependency Alignment
14. NeurIPS 2026Bellman Contraction under MMD: A Unified Framework
15. NeurIPS 2026Beyond ICA: Identifiability by Symmetry Breaking
16. NeurIPS 2026Beyond IID: How General Are Tabular Foundation Models, Really?
17. NeurIPS 2026Beyond Imputation: Mask-Adaptive Conformal Prediction via Tree Embeddings on General Missing Data Mechanisms
18. NeurIPS 2026Beyond Low-Pass Dynamics: Frequency-Selective Spiking Reservoirs with Resonant Neurons
19. NeurIPS 2026Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
20. NeurIPS 2026Beyond Unidirectional: Unsupervised Trajectory Learning for Omnidirectional Controllable Underwater Image Enhancement
21. NeurIPS 2026Blocked Gibbs meets Diffusion Transformers: Unsupervised Learning for Constraint Optimization
22. NeurIPS 2026Building Transformation Layers for Riemannian Neural Networks
23. NeurIPS 2026Causal Inference for Sequential Settings under Interference and Latent Confounding
24. NeurIPS 2026CHORD: Cross-Model Hallucination Detection via Relational Graph Discrimination
25. NeurIPS 2026Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples
26. NeurIPS 2026Claude Coke: Prevent Automated Crime by Agents
27. NeurIPS 2026Closed-Form Implicit Neural Representations
28. NeurIPS 2026Codebook-Guided Cross-Modal Knowledge Distillation for Structurally Heterogeneous Features
29. NeurIPS 2026Computing Thiele Rules on Interval Elections and their Generalizations
30. NeurIPS 2026Contrastive Nonmyopic Objective Cost-Tradeoff Acquisition for Longitudinal Data
31. NeurIPS 2026Conveyance: A Versatile Framework for Learning in Structured Class Spaces
32. NeurIPS 2026Cross-Architecture Transferability is Width-Confounded:Diagnosis and Subspace Correction
33. NeurIPS 2026CTM-AI: A Blueprint for General AI Inspired by a Model of Consciousness
34. NeurIPS 2026D-GAP: Improving Out-of-Domain Robustness via Dataset-Agnostic and Gradient-Guided Augmentation in Amplitude and Pixel Spaces
35. NeurIPS 2026Data-Driven Covariate Selection for Nonparametric and Cycle-Agnostic Causal Effect Estimation
36. NeurIPS 2026Deadline-Constrained Dynamic Workflow Scheduling Can be Cast as a Representation Learning Problem
37. NeurIPS 2026Decoupling Label Shift and Surrogate Gradient Errors for Robust Federated Spiking Neural Networks
38. NeurIPS 2026Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality
39. NeurIPS 2026Deep Reasoning in General Purpose Agents via Structured Meta-Cognition
40. NeurIPS 2026Density-Ratio Losses for Post-Hoc Learning to Defer
41. NeurIPS 2026Distilling Multi-Teacher Scoring Principles for Unsupervised Time Series Anomaly Detection
42. NeurIPS 2026Distributional Estimation of 3D Object Orientation
43. NeurIPS 2026Do Sparse Autoencoders Learn Meaningful Concept Hierarchies?
44. NeurIPS 2026Drifting Fields are not Conservative
45. NeurIPS 2026DUIL: Deep Unsupervised Inverse Learning for in situ Macromolecular Morphology Identification
46. NeurIPS 2026Efficient Transferable Optimal Transport via Min-Sliced Transport Plans
47. NeurIPS 2026Evaluating Test-Time Scaling of General LLM Agents
48. NeurIPS 2026Fast Approximate $\ell_p$ Chamfer Distance via Lopsided Embeddings and Structured JL
49. NeurIPS 2026Finding Koopman Invariant Subspaces via Personalized PageRank
50. NeurIPS 2026Fisher information and the geometry of memorization in 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.