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

206 papers, page 1 of 5

1. CVPR 2026A Stitch in Time Learning Procedural Workflow via Self-Supervised Plackett-Luce
2. CVPR 2026BeautyGRPO Aesthetic Alignment for Face Retouching via Dynamic Path Guidance
3. CVPR 2026DABO Difficulty-Aware Bayesian Optimization with Diffusion-Learned Priors
4. CVPR 2026Depth Any Endoscopy Towards Self-Supervised Generalizable Depth Estimation in Monocular
5. CVPR 2026Divide Conquer and Aggregate Asymmetric Experts for Class-Imbalanced Semi-Supervised Medical
6. CVPR 2026Enabling Supervised Learning of Generative Signatures for Generalized AI-Generated Images
7. CVPR 2026Face-Guided Sentiment Boundary Enhancement for Weakly-Supervised Temporal Sentiment Localization
8. CVPR 2026From None to All Self-Supervised 3D Reconstruction via Novel View
9. CVPR 2026From Softmax to Dirichlet Evidential Learning for Semi-supervised Semantic Segmentation
10. CVPR 2026GS-ASM 2DGS-Supervised Active Stereo Matching
11. CVPR 2026HyperNAS Enhancing Architecture Representation for NAS Predictor via Hypernetwork
12. CVPR 2026Improving Adversarial Transferability with Local Perturbation Augmentation
13. CVPR 2026Joint Learning of General and Diverse Patterns with Mixture of
14. CVPR 2026Learning from Noisy Supervision A Denoising-Debiasing Framework for Weakly Supervised
15. CVPR 2026Leveraging Class Distributions in CLIP for Weakly Supervised Semantic Segmentation
16. CVPR 2026LF-BVN Blind-View Network for Self-Supervised Light Field Denoising
17. CVPR 2026Multi-Paradigm Collaborative Adversarial Attack Against Multi-Modal Large Language Models
18. CVPR 2026PAF Perturbation-Aware Filtering for Open-Set Semi-Supervised Learning
19. CVPR 2026Partial Weakly-Supervised Oriented Object Detection
20. CVPR 2026ProxyFL A Proxy-Guided Framework for Federated Semi-Supervised Learning
21. CVPR 2026RaPA Enhancing Transferable Targeted Attacks via Random Parameter Pruning
22. CVPR 2026Rethinking Box Supervision Bias-Free Weakly Supervised Medical Segmentation
23. CVPR 2026Revisiting the Necessity of Full Accuracy Weakly Supervised Object-Level Offset
24. CVPR 2026RiskProp Collision-Anchored Self-Supervised Risk Propagation For Early Accident Anticipation
25. CVPR 2026RoSAMDepth Robust Self-supervised Depth Estimation Leveraging Segment Anything Model
26. CVPR 2026SCAPO Self-Supervised Category-Level Articulated Pose Estimation from a Single 3D
27. CVPR 2026SelfHVD Self-Supervised Handheld Video Deblurring
28. CVPR 2026Semi-Supervised Conformal Prediction With Unlabeled Nonconformity Score
29. CVPR 2026SGDE Self-supervised Geometry Degradation Estimation Framework for Coded Aperture Compressive
30. CVPR 2026Teaching DINOv3 About Partial 3D Geometry A Self-Supervised Geometry-Aware Approach
31. CVPR 2026TeFlow Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation
32. CVPR 2026WildRayZer Self-supervised Large View Synthesis in Dynamic Environments
33. CVPR 2025A Bias-Free Training Paradigm for More General AI-generated Image Detection
34. CVPR 2025A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
35. CVPR 2025A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
36. CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
37. CVPR 2025AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction
38. CVPR 2025BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
39. CVPR 2025CGMatch: A Different Perspective of Semi-supervised Learning
40. CVPR 2025CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning
41. CVPR 2025Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
42. CVPR 2025Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
43. CVPR 2025DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension
44. CVPR 2025Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training
45. CVPR 2025From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
46. CVPR 2025From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
47. CVPR 2025Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
48. CVPR 2025High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous Flight
49. CVPR 2025Improve Representation for Imbalanced Regression through Geometric Constraints
50. CVPR 2025Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks

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.