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

372 papers, page 1 of 8

1. CVPR 2025A Bias-Free Training Paradigm for More General AI-generated Image Detection
2. CVPR 2025A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
3. CVPR 2025A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
4. CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
5. CVPR 2025AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction
6. CVPR 2025BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
7. CVPR 2025CGMatch: A Different Perspective of Semi-supervised Learning
8. CVPR 2025CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning
9. CVPR 2025Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
10. CVPR 2025Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
11. CVPR 2025DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension
12. CVPR 2025Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training
13. CVPR 2025From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
14. CVPR 2025From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
15. CVPR 2025Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
16. CVPR 2025High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous Flight
17. CVPR 2025Improve Representation for Imbalanced Regression through Geometric Constraints
18. CVPR 2025Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks
19. CVPR 2025Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
20. CVPR 2025Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
21. CVPR 2025Improving Transferable Targeted Attacks with Feature Tuning Mixup
22. CVPR 2025Invisible Backdoor Attack against Self-supervised Learning
23. CVPR 2025Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection
24. CVPR 2025Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation
25. CVPR 2025Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
26. CVPR 2025NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary
27. CVPR 2025ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
28. CVPR 2025On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
29. CVPR 2025Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
30. CVPR 2025Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
31. CVPR 2025POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
32. CVPR 2025Rotation-Equivariant Self-Supervised Method in Image Denoising
33. CVPR 2025Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
34. CVPR 2025Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
35. CVPR 2025Self-Supervised Learning for Color Spike Camera Reconstruction
36. CVPR 2025Self-Supervised Spatial Correspondence Across Modalities
37. CVPR 2025SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting
38. CVPR 2025Sonata: Self-Supervised Learning of Reliable Point Representations
39. CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
40. CVPR 2025Take the Bull by the Horns: Learning to Segment Hard Samples
41. CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
42. CVPR 2025VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
43. CVPR 2025Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
44. CVPR 2025Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
45. CVPR 2025Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
46. CVPR 2025WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
47. CVPR 2025You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
48. ICLR 2025Active Learning for Neural PDE Solvers
49. ICLR 2025AgentSquare: Automatic LLM Agent Search in Modular Design Space
50. ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations

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.