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

1,424 papers, page 1 of 29

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. ICLR 2026Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models
34. ICLR 2026Adaptive Concept Discovery for Interpretable Few-Shot Text Classification
35. ICLR 2026Adaptive gradient descent on Riemannian manifolds and its applications to Gaussian variational inference
36. ICLR 2026Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity
37. ICLR 2026Buckingham $\pi$-Invariant Test‑Time Projection for Robust PDE Surrogate Modeling
38. ICLR 2026CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators
39. ICLR 2026CoLA: Co-Calibrated Logit Adjustment for Long-Tailed Semi-Supervised Learning
40. ICLR 2026Combinatorial Bandit Bayesian Optimization for Tensor Outputs
41. ICLR 2026Conformalized Survival Counterfactuals Prediction for General Right-Censored Data
42. ICLR 2026Continuum Transformers Perform In-Context Learning by Operator Gradient Descent
43. ICLR 2026Deep Learning for Subspace Regression
44. ICLR 2026Difficult Examples Hurt Unsupervised Contrastive Learning: A Theoretical Perspective
45. ICLR 2026Dual Perspectives on Non-Contrastive Self-Supervised Learning
46. ICLR 2026Efficient Estimation of Kernel Surrogate Models for Task Attribution
47. ICLR 2026Enabling arbitrary inference in spatio-temporal dynamic systems: A physics-inspired perspective
48. ICLR 2026FedOpenMatch: Towards Semi-Supervised Federated Learning in Open-Set Environments
49. ICLR 2026Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach
50. ICLR 2026From Cheap Geometry to Expensive Physics: Elevating Neural Operators via Latent Shape Pretraining

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.