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 2 of 2

51. CVPR 2023Self-Supervised Pre-Training With Masked Shape Prediction for 3D Scene Understanding
52. CVPR 2023Self-Supervised Representation Learning for CAD
53. CVPR 2023Self-Supervised Super-Plane for Neural 3D Reconstruction
54. CVPR 2023SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
55. CVPR 2023Semi-DETR: Semi-Supervised Object Detection With Detection Transformers
56. CVPR 2023Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
57. CVPR 2023Semi-Supervised Learning Made Simple With Self-Supervised Clustering
58. CVPR 2023Semi-Supervised Video Inpainting With Cycle Consistency Constraints
59. CVPR 2023Semi-Weakly Supervised Object Kinematic Motion Prediction
60. CVPR 2023Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
61. CVPR 2023SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
62. CVPR 2023SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
63. CVPR 2023SOOD: Towards Semi-Supervised Oriented Object Detection
64. CVPR 2023Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
65. CVPR 2023StyLess: Boosting the Transferability of Adversarial Examples
66. CVPR 2023Super-Resolution Neural Operator
67. CVPR 2023TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
68. CVPR 2023Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
69. CVPR 2023Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training
70. CVPR 2023Token Contrast for Weakly-Supervised Semantic Segmentation
71. CVPR 2023Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need
72. CVPR 2023Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples
73. CVPR 2023Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition
74. CVPR 2023Weakly Supervised Posture Mining for Fine-Grained Classification
75. CVPR 2023Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training
76. CVPR 2023Weakly-Supervised Single-View Image Relighting

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.