通用机器学习 · supervised learning论文趋势 2023–2026

主要结论

• 通用机器学习 · supervised learning论文从 2023 年的 263 篇增长到 2026 年的 279 篇，三年间扩大到约 1.1 倍。
• NeurIPS 是发通用机器学习 · supervised learning论文最多的会议，2023–2026 年共 731 篇，占四个会议总量的 51%。
• 交叉方向里涨得最快的是扩散模型：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 9 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 3；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · supervised learning是 1.1 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• 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

全部通用机器学习 · supervised learning论文

共 32 篇，第 1 / 1 页

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

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · supervised learning论文？

共 1,425 篇，按年份分别是 2023 年 263 篇、2024 年 511 篇、2025 年 372 篇、2026 年 279 篇。

NeurIPS 2026 有多少篇通用机器学习 · supervised learning论文？

NeurIPS 2026 有 87 篇通用机器学习 · supervised learning论文，上一届是 171 篇。

ICLR 2026 有多少篇通用机器学习 · supervised learning论文？

ICLR 2026 有 48 篇通用机器学习 · supervised learning论文，上一届是 40 篇。

ICML 2026 有多少篇通用机器学习 · supervised learning论文？

ICML 2026 有 111 篇通用机器学习 · supervised learning论文，上一届是 114 篇。

CVPR 2026 有多少篇通用机器学习 · supervised learning论文？

CVPR 2026 有 33 篇通用机器学习 · supervised learning论文，上一届是 47 篇。

哪个会议的通用机器学习 · supervised learning论文最多？

NeurIPS，2023–2026 年共 731 篇。