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

239 papers, page 1 of 5

1. ICML 2025A Certified Unlearning Approach without Access to Source Data
2. ICML 2025A General Framework for Inference-time Scaling and Steering of Diffusion Models
3. ICML 2025A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
4. ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
5. ICML 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
6. ICML 2025A Sample Efficient Conditional Independence Test in the Presence of Discretization
7. ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
8. ICML 2025A Theoretical Framework For Overfitting In Energy-based Modeling
9. ICML 2025ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence
10. ICML 2025Active feature acquisition via explainability-driven ranking
11. ICML 2025Active Treatment Effect Estimation via Limited Samples
12. ICML 2025Adaptive Estimation and Learning under Temporal Distribution Shift
13. ICML 2025Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
14. ICML 2025Adversarial Combinatorial Semi-bandits with Graph Feedback
15. ICML 2025Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
16. ICML 2025Almost Optimal Fully Dynamic $k$-Center Clustering with Recourse
17. ICML 2025An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
18. ICML 2025An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning
19. ICML 2025Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees
20. ICML 2025Approximately Correct Label Distribution Learning
21. ICML 2025ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
22. ICML 2025AutoAL: Automated Active Learning with Differentiable Query Strategy Search
23. ICML 2025Autoencoder-Based Hybrid Replay for Class-Incremental Learning
24. ICML 2025Automatic Reward Shaping from Confounded Offline Data
25. ICML 2025Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios
26. ICML 2025Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach
27. ICML 2025Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
28. ICML 2025Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
29. ICML 2025Banyan: Improved Representation Learning with Explicit Structure
30. ICML 2025BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation
31. ICML 2025Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments
32. ICML 2025BECAME: Bayesian Continual Learning with Adaptive Model Merging
33. ICML 2025Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
34. ICML 2025Best Subset Selection: Optimal Pursuit for Feature Selection and Elimination
35. ICML 2025Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
36. ICML 2025Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond
37. ICML 2025Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO*
38. ICML 2025Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach
39. ICML 2025BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing
40. ICML 2025CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging
41. ICML 2025CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation
42. ICML 2025CALM: Consensus-Aware Localized Merging for Multi-Task Learning
43. ICML 2025Catoni Contextual Bandits are Robust to Heavy-tailed Rewards
44. ICML 2025Competing Bandits in Matching Markets via Super Stability
45. ICML 2025Compute or Load KV Cache? Why Not Both?
46. ICML 2025Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
47. ICML 2025Concentration Distribution Learning from Label Distributions
48. ICML 2025Concept-Based Unsupervised Domain Adaptation
49. ICML 2025Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
50. ICML 2025Conformal Anomaly Detection in Event Sequences

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.