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 372 篇，第 6 / 8 页

251. NeurIPS 2025Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
252. NeurIPS 2025EngiBench: A Framework for Data-Driven Engineering Design Research
253. NeurIPS 2025Enhancing Contrastive Learning with Variable Similarity
254. NeurIPS 2025Enhancing Privacy in Multimodal Federated Learning with Information Theory
255. NeurIPS 2025ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators
256. NeurIPS 2025Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth
257. NeurIPS 2025Exploring and Exploiting Model Uncertainty in Bayesian Optimization
258. NeurIPS 2025Exploring Structural Degradation in Dense Representations for Self-supervised Learning
259. NeurIPS 2025Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
260. NeurIPS 2025FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
261. NeurIPS 2025Flick: Empowering Federated Learning with Commonsense Knowledge
262. NeurIPS 2025Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
263. NeurIPS 2025From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
264. NeurIPS 2025From Sequence to Structure: Uncovering Substructure Reasoning in Transformers
265. NeurIPS 2025From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit
266. NeurIPS 2025Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules
267. NeurIPS 2025Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
268. NeurIPS 2025Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent
269. NeurIPS 2025Generating and Checking DNN Verification Proofs
270. NeurIPS 2025Geometric Algorithms for Neural Combinatorial Optimization with Constraints
271. NeurIPS 2025Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains
272. NeurIPS 2025GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents
273. NeurIPS 2025Hamiltonian Neural PDE Solvers through Functional Approximation
274. NeurIPS 2025Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
275. NeurIPS 2025Improved Scaling Laws in Linear Regression via Data Reuse
276. NeurIPS 2025IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs
277. NeurIPS 2025Infinite Neural Operators: Gaussian processes on functions
278. NeurIPS 2025Influence Guided Context Selection for Effective Retrieval-Augmented Generation
279. NeurIPS 2025Informed Initialization for Bayesian Optimization and Active Learning
280. NeurIPS 2025ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
281. NeurIPS 2025Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
282. NeurIPS 2025KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing
283. NeurIPS 2025Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
284. NeurIPS 2025Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
285. NeurIPS 2025Learning Shared Representations from Unpaired Data
286. NeurIPS 2025Learning Stochastic Multiscale Models
287. NeurIPS 2025Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
288. NeurIPS 2025Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
289. NeurIPS 2025Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers
290. NeurIPS 2025MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction
291. NeurIPS 2025Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
292. NeurIPS 2025Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
293. NeurIPS 2025Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming
294. NeurIPS 2025Monotone and Separable Set Functions: Characterizations and Neural Models
295. NeurIPS 2025More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
296. NeurIPS 2025Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
297. NeurIPS 2025Neurons as Detectors of Coherent Sets in Sensory Dynamics
298. NeurIPS 2025NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
299. NeurIPS 2025Non-Adaptive Adversarial Face Generation
300. NeurIPS 2025OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels

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。