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 6 / 29 页

251. NeurIPS 2026Saddle-to-Saddle Dynamics in Self-Supervised Shortcut Learning
252. NeurIPS 2026Safe Linear Bandits with Unknown Safety Gaps
253. NeurIPS 2026Sample Efficient Generative Molecular Optimization with Joint Self-Improvement
254. NeurIPS 2026Seeing but Not Detecting: Privacy-Preserving Scene Text Attack via Hybrid Adversarial Policy Learning
255. NeurIPS 2026Self-Distillation of Hidden Layers for Masked Self-Supervised Representation Learning
256. NeurIPS 2026Self-Supervised Doppler-Guided RF Odometry
257. NeurIPS 2026SetAD: Semi-Supervised Anomaly Learning in Contextual Sets
258. NeurIPS 2026SIEVE: Overcoming Topological Obstruction in Equivariant Self-Supervised Learning
259. NeurIPS 2026Sparsely Supervised Diffusion
260. NeurIPS 2026SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs
261. NeurIPS 2026SS3D: End2End Self-Supervised 3D from Web Videos
262. NeurIPS 2026StarWM: Self-Supervised Trained Attention Routing for Robust World Models
263. NeurIPS 2026Sup-Norm Error under Proportional Asymptotics: Phase Transitions under Linear Regression
264. NeurIPS 2026Surrogate Calibration for Transferable Adversarial Attacks against Black-Box MLLMs
265. NeurIPS 2026Testable Learning of General Halfspaces under Massart Noise
266. NeurIPS 2026The Graph Concept Bottleneck: Decoding Combinatorial Reasoning in GNNs for Interpretability
267. NeurIPS 2026The Platonic Defense: Backdoor Defense for Self-Supervised Encoders in the Era of Large Scale Pre-training
268. NeurIPS 2026Theory Guided and Interpretable Neural Operator Design for Partial Differential Equation Learning
269. NeurIPS 2026Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning
270. NeurIPS 2026Train on the Sphere, Deploy on the Hill: Closed-Form-Anchored Surrogates for Real-Terrain Boundary-Integral Equations
271. NeurIPS 2026Trajectory-Matching Meta Pseudo-Labeling for Semi-Supervised Learning
272. NeurIPS 2026Transferable, Time-Parallel Graph Dynamics via Space-Time Factorization
273. NeurIPS 2026Tree-Structured Synergy of Large Language Models and Bayesian Optimization for Efficient CASH
274. NeurIPS 2026Tune-Up Open-Weight CLIP: Optimization Framework for Self-Supervised Fine-tuning of CLIP
275. NeurIPS 2026TurtLES: A Large-Scale Benchmark for Turbulent 3D Neural PDE Surrogates
276. NeurIPS 2026What to Perturb, How to Propagate: A Graph-Guided Transferable Attack on VLP Models
277. NeurIPS 2026Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm
278. NeurIPS 2026ZNO: Stable Rational Neural Operators in the Z-Domain for Discrete-Time Dynamics
279. CVPR 2025A Bias-Free Training Paradigm for More General AI-generated Image Detection
280. CVPR 2025A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
281. CVPR 2025A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
282. CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
283. CVPR 2025AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction
284. CVPR 2025BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
285. CVPR 2025CGMatch: A Different Perspective of Semi-supervised Learning
286. CVPR 2025CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning
287. CVPR 2025Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
288. CVPR 2025Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks
289. CVPR 2025DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension
290. CVPR 2025Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training
291. CVPR 2025From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
292. CVPR 2025From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
293. CVPR 2025Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
294. CVPR 2025High Temporal Consistency through Semantic Similarity Propagation in Semi-Supervised Video Semantic Segmentation for Autonomous Flight
295. CVPR 2025Improve Representation for Imbalanced Regression through Geometric Constraints
296. CVPR 2025Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks
297. CVPR 2025Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
298. CVPR 2025Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
299. CVPR 2025Improving Transferable Targeted Attacks with Feature Tuning Mixup
300. CVPR 2025Invisible Backdoor Attack against Self-supervised 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。