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 731 篇，第 4 / 15 页

151. NeurIPS 2025From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit
152. NeurIPS 2025Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules
153. NeurIPS 2025Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
154. NeurIPS 2025Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent
155. NeurIPS 2025Generating and Checking DNN Verification Proofs
156. NeurIPS 2025Geometric Algorithms for Neural Combinatorial Optimization with Constraints
157. NeurIPS 2025Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains
158. NeurIPS 2025GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents
159. NeurIPS 2025Hamiltonian Neural PDE Solvers through Functional Approximation
160. NeurIPS 2025Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
161. NeurIPS 2025Improved Scaling Laws in Linear Regression via Data Reuse
162. NeurIPS 2025IneqSearch: Hybrid Reasoning for Olympiad Inequality Proofs
163. NeurIPS 2025Infinite Neural Operators: Gaussian processes on functions
164. NeurIPS 2025Influence Guided Context Selection for Effective Retrieval-Augmented Generation
165. NeurIPS 2025Informed Initialization for Bayesian Optimization and Active Learning
166. NeurIPS 2025ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model
167. NeurIPS 2025Jamais Vu: Exposing the Generalization Gap in Supervised Semantic Correspondence
168. NeurIPS 2025KaRF: Weakly-Supervised Kolmogorov-Arnold Networks-based Radiance Fields for Local Color Editing
169. NeurIPS 2025Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
170. NeurIPS 2025Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
171. NeurIPS 2025Learning Shared Representations from Unpaired Data
172. NeurIPS 2025Learning Stochastic Multiscale Models
173. NeurIPS 2025Learning to Flow from Generative Pretext Tasks for Neural Architecture Encoding
174. NeurIPS 2025Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators
175. NeurIPS 2025Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers
176. NeurIPS 2025MIND: Material Interface Generation from UDFs for Non-Manifold Surface Reconstruction
177. NeurIPS 2025Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
178. NeurIPS 2025Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
179. NeurIPS 2025Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming
180. NeurIPS 2025Monotone and Separable Set Functions: Characterizations and Neural Models
181. NeurIPS 2025More Than Just Functional: LLM-as-a-Critique for Efficient Code Generation
182. NeurIPS 2025Negative Feedback Really Matters: Signed Dual-Channel Graph Contrastive Learning Framework for Recommendation
183. NeurIPS 2025Neurons as Detectors of Coherent Sets in Sensory Dynamics
184. NeurIPS 2025NoBOOM: Chemical Process Datasets for Industrial Anomaly Detection
185. NeurIPS 2025Non-Adaptive Adversarial Face Generation
186. NeurIPS 2025OctoNet: A Large-Scale Multi-Modal Dataset for Human Activity Understanding Grounded in Motion-Captured 3D Pose Labels
187. NeurIPS 2025On Agnostic PAC Learning in the Small Error Regime
188. NeurIPS 2025On Reasoning Strength Planning in Large Reasoning Models
189. NeurIPS 2025On the creation of narrow AI: hierarchy and nonlocality of neural network skills
190. NeurIPS 2025On the Loss of Context Awareness in General Instruction Fine-tuning
191. NeurIPS 2025One Filters All: A Generalist Filter For State Estimation
192. NeurIPS 2025Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
193. NeurIPS 2025Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
194. NeurIPS 2025OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
195. NeurIPS 2025PCA++: How Uniformity Induces Robustness to Background Noise in Contrastive Learning
196. NeurIPS 2025Per-Architecture Training-Free Metric Optimization for Neural Architecture Search
197. NeurIPS 2025Physics-informed machine learning with domain decomposition and global dynamics for three-dimensional intersecting flows
198. NeurIPS 2025Prediction-Powered Semi-Supervised Learning with Online Power Tuning
199. NeurIPS 2025ProSpero: Active Learning for Robust Protein Design Beyond Wild-Type Neighborhoods
200. NeurIPS 2025QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design

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。