General ML · supervised learning papers, 2023–2026

Key findings

• General ML · supervised learning went from 263 papers in 2023 to 279 in 2026, roughly 1.1x in three years.
• NeurIPS publishes the most General ML · supervised learning work: 731 papers from 2023 to 2026, 51% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 9 in 2026.
• Among the 6 topics under General Machine Learning, it ranks #3 by 2026 paper count; the fastest grower in the group, General ML · evaluation, is up 4.3x versus 1.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026AOT-POT: Adaptive Operator Transformation for Large-Scale PDE Pre-training
• ICML 2026$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
• ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
• CVPR 2026Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images
• NeurIPS 2025$\boldsymbol{\lambda}$-Orthogonality Regularization for Compatible Representation Learning
• ICML 2025Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$
• ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
• CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
• NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
• ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
• ICLR 2024A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
• CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
• NeurIPS 2023A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
• ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
• ICLR 2023Deep Ranking Ensembles for Hyperparameter Optimization
• CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
• NeurIPS 2026Approximation of Maximally Monotone Operators : A Graph Convergence Perspective
• ICML 2026Active Budget Allocation for Efficient Scaling Law Estimation via Surrogate-Guided Pruning
• ICLR 2026Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate Modeling
• CVPR 2026HyperNAS Enhancing Architecture Representation for NAS Predictor via Hypernetwork

All General ML · supervised learning papers

76 papers, page 1 of 2

1. CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
2. CVPR 2023AstroNet: When Astrocyte Meets Artificial Neural Network
3. CVPR 2023AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation
4. CVPR 2023Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
5. CVPR 2023Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
6. CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
7. CVPR 2023Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
8. CVPR 2023BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
9. CVPR 2023Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
10. CVPR 2023Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
11. CVPR 2023Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
12. CVPR 2023Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection
13. CVPR 2023Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning
14. CVPR 2023Deep Semi-Supervised Metric Learning With Mixed Label Propagation
15. CVPR 2023DLBD: A Self-Supervised Direct-Learned Binary Descriptor
16. CVPR 2023DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective
17. CVPR 2023Ensemble-Based Blackbox Attacks on Dense Prediction
18. CVPR 2023Evolved Part Masking for Self-Supervised Learning
19. CVPR 2023Fully Self-Supervised Depth Estimation From Defocus Clue
20. CVPR 2023Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation
21. CVPR 2023GeneCIS: A Benchmark for General Conditional Image Similarity
22. CVPR 2023HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint
23. CVPR 2023Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
24. CVPR 2023Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
25. CVPR 2023Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking
26. CVPR 2023MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition
27. CVPR 2023MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
28. CVPR 2023MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection
29. CVPR 2023Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
30. CVPR 2023NeRF-Supervised Deep Stereo
31. CVPR 2023Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting
32. CVPR 2023Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
33. CVPR 2023Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
34. CVPR 2023PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization
35. CVPR 2023PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes
36. CVPR 2023PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos
37. CVPR 2023Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation
38. CVPR 2023Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
39. CVPR 2023RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension
40. CVPR 2023RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension
41. CVPR 2023Revisiting the Stack-Based Inverse Tone Mapping
42. CVPR 2023Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation
43. CVPR 2023S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
44. CVPR 2023SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
45. CVPR 2023Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
46. CVPR 2023Self-Supervised AutoFlow
47. CVPR 2023Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization
48. CVPR 2023Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
49. CVPR 2023Self-Supervised Implicit Glyph Attention for Text Recognition
50. CVPR 2023Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture

FAQ

How many General ML · supervised learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

1,425 in total: 263 in 2023, 511 in 2024, 372 in 2025, 279 in 2026.

How many General ML · supervised learning papers are at NeurIPS 2026?

NeurIPS 2026 has 87 General ML · supervised learning papers, versus 171 the year before.

How many General ML · supervised learning papers are at ICLR 2026?

ICLR 2026 has 48 General ML · supervised learning papers, versus 40 the year before.

How many General ML · supervised learning papers are at ICML 2026?

ICML 2026 has 111 General ML · supervised learning papers, versus 114 the year before.

How many General ML · supervised learning papers are at CVPR 2026?

CVPR 2026 has 33 General ML · supervised learning papers, versus 47 the year before.

Which conference publishes the most General ML · supervised learning papers?

NeurIPS, with 731 papers from 2023 to 2026.