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 1,424 篇，第 7 / 29 页

301. CVPR 2025Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection
302. CVPR 2025Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation
303. CVPR 2025Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
304. CVPR 2025NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary
305. CVPR 2025ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
306. CVPR 2025On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
307. CVPR 2025Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
308. CVPR 2025Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
309. CVPR 2025POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
310. CVPR 2025Rotation-Equivariant Self-Supervised Method in Image Denoising
311. CVPR 2025Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
312. CVPR 2025Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
313. CVPR 2025Self-Supervised Learning for Color Spike Camera Reconstruction
314. CVPR 2025Self-Supervised Spatial Correspondence Across Modalities
315. CVPR 2025SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting
316. CVPR 2025Sonata: Self-Supervised Learning of Reliable Point Representations
317. CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
318. CVPR 2025Take the Bull by the Horns: Learning to Segment Hard Samples
319. CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
320. CVPR 2025VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
321. CVPR 2025Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
322. CVPR 2025Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
323. CVPR 2025Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
324. CVPR 2025WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
325. CVPR 2025You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale
326. ICLR 2025Active Learning for Neural PDE Solvers
327. ICLR 2025AgentSquare: Automatic LLM Agent Search in Modular Design Space
328. ICLR 2025Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations
329. ICLR 2025Bayesian Optimization via Continual Variational Last Layer Training
330. ICLR 2025Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
331. ICLR 2025Conditional Testing based on Localized Conformal $p$-values
332. ICLR 2025Conformalized Survival Analysis for General Right-Censored Data
333. ICLR 2025CONGO: Compressive Online Gradient Optimization
334. ICLR 2025CViT: Continuous Vision Transformer for Operator Learning
335. ICLR 2025Deconstructing Denoising Diffusion Models for Self-Supervised Learning
336. ICLR 2025Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators
337. ICLR 2025Generalizable Motion Planning via Operator Learning
338. ICLR 2025Group Downsampling with Equivariant Anti-aliasing
339. ICLR 2025High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
340. ICLR 2025High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders
341. ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
342. ICLR 2025LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation
343. ICLR 2025Learning Chaos In A Linear Way
344. ICLR 2025Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks
345. ICLR 2025Lipschitz Bandits in Optimal Space
346. ICLR 2025MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
347. ICLR 2025MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations
348. ICLR 2025Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout
349. ICLR 2025Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
350. ICLR 2025Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning

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。