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

51 papers, page 1 of 2

1. CVPR 2024A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection
2. CVPR 2024AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
3. CVPR 2024Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
4. CVPR 2024Animating General Image with Large Visual Motion Model
5. CVPR 2024Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
6. CVPR 2024CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
7. CVPR 2024CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
8. CVPR 2024Class Tokens Infusion for Weakly Supervised Semantic Segmentation
9. CVPR 2024CNC-Net: Self-Supervised Learning for CNC Machining Operations
10. CVPR 2024CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
11. CVPR 2024Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
12. CVPR 2024DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
13. CVPR 2024Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
14. CVPR 2024Efficient Model Stealing Defense with Noise Transition Matrix
15. CVPR 2024Ensemble Diversity Facilitates Adversarial Transferability
16. CVPR 2024Extreme Point Supervised Instance Segmentation
17. CVPR 2024FaceLift: Semi-supervised 3D Facial Landmark Localization
18. CVPR 2024Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
19. CVPR 2024From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation
20. CVPR 2024From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior
21. CVPR 2024Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation
22. CVPR 2024HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection
23. CVPR 2024Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation
24. CVPR 2024LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition
25. CVPR 2024Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
26. CVPR 2024Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
27. CVPR 2024Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
28. CVPR 2024MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
29. CVPR 2024Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces
30. CVPR 2024PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images
31. CVPR 2024Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching
32. CVPR 2024PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness
33. CVPR 2024Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models
34. CVPR 2024Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection
35. CVPR 2024PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
36. CVPR 2024RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
37. CVPR 2024Relational Matching for Weakly Semi-Supervised Oriented Object Detection
38. CVPR 2024SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation
39. CVPR 2024SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
40. CVPR 2024Self-supervised Debiasing Using Low Rank Regularization
41. CVPR 2024Self-Supervised Dual Contouring
42. CVPR 2024Self-Supervised Facial Representation Learning with Facial Region Awareness
43. CVPR 2024Self-Supervised Representation Learning from Arbitrary Scenarios
44. CVPR 2024SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
45. CVPR 2024SLICE: Stabilized LIME for Consistent Explanations for Image Classification
46. CVPR 2024Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
47. CVPR 2024SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
48. CVPR 2024Towards Robust Learning to Optimize with Theoretical Guarantees
49. CVPR 2024Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training
50. CVPR 2024Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning

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.