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 511 篇，第 5 / 11 页

201. NeurIPS 2024Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
202. NeurIPS 2024CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
203. NeurIPS 2024DALD: Improving Logits-based Detector without Logits from Black-box LLMs
204. NeurIPS 2024Data Acquisition via Experimental Design for Data Markets
205. NeurIPS 2024Data-Efficient Learning with Neural Programs
206. NeurIPS 2024Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
207. NeurIPS 2024DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting
208. NeurIPS 2024Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.
209. NeurIPS 2024DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
210. NeurIPS 2024Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
211. NeurIPS 2024Deep Submodular Peripteral Networks
212. NeurIPS 2024DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching
213. NeurIPS 2024DeiSAM: Segment Anything with Deictic Prompting
214. NeurIPS 2024DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking
215. NeurIPS 2024Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
216. NeurIPS 2024DePLM: Denoising Protein Language Models for Property Optimization
217. NeurIPS 2024Derivative-enhanced Deep Operator Network
218. NeurIPS 2024Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization
219. NeurIPS 2024Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
220. NeurIPS 2024Differentially Private Graph Diffusion with Applications in Personalized PageRanks
221. NeurIPS 2024DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
222. NeurIPS 2024DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
223. NeurIPS 2024Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
224. NeurIPS 2024Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
225. NeurIPS 2024Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers
226. NeurIPS 2024Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec
227. NeurIPS 2024Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
228. NeurIPS 2024DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
229. NeurIPS 2024DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
230. NeurIPS 2024Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
231. NeurIPS 2024Dual-Personalizing Adapter for Federated Foundation Models
232. NeurIPS 2024Efficiency for Free: Ideal Data Are Transportable Representations
233. NeurIPS 2024Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes
234. NeurIPS 2024Efficient Streaming Algorithms for Graphlet Sampling
235. NeurIPS 2024Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors
236. NeurIPS 2024Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
237. NeurIPS 2024End-to-End Ontology Learning with Large Language Models
238. NeurIPS 2024Enhancing Domain Adaptation through Prompt Gradient Alignment
239. NeurIPS 2024Enhancing LLM Reasoning via Vision-Augmented Prompting
240. NeurIPS 2024Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
241. NeurIPS 2024Evaluate calibration of language models with folktexts
242. NeurIPS 2024Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
243. NeurIPS 2024Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
244. NeurIPS 2024Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems
245. NeurIPS 2024Expert-level protocol translation for self-driving labs
246. NeurIPS 2024Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion
247. NeurIPS 2024Exploiting Representation Curvature for Boundary Detection in Time Series
248. NeurIPS 2024Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
249. NeurIPS 2024Extending Multi-modal Contrastive Representations
250. NeurIPS 2024Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations

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。