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 375 篇，第 7 / 8 页

301. NeurIPS 2024SDformer: Similarity-driven Discrete Transformer For Time Series Generation
302. NeurIPS 2024SEL-BALD: Deep Bayesian Active Learning with Selective Labels
303. NeurIPS 2024Self-Guiding Exploration for Combinatorial Problems
304. NeurIPS 2024Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
305. NeurIPS 2024Self-Labeling the Job Shop Scheduling Problem
306. NeurIPS 2024Self-supervised Transformation Learning for Equivariant Representations
307. NeurIPS 2024Semantic Routing via Autoregressive Modeling
308. NeurIPS 2024Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
309. NeurIPS 2024SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
310. NeurIPS 2024Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
311. NeurIPS 2024SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead
312. NeurIPS 2024Spiking Transformer with Experts Mixture
313. NeurIPS 2024SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation
314. NeurIPS 2024SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform
315. NeurIPS 2024ST$_k$: A Scalable Module for Solving Top-k Problems
316. NeurIPS 2024STONE: A Submodular Optimization Framework for Active 3D Object Detection
317. NeurIPS 2024Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks
318. NeurIPS 2024Structural Inference of Dynamical Systems with Conjoined State Space Models
319. NeurIPS 2024Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics
320. NeurIPS 2024Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection
321. NeurIPS 2024Supervised Kernel Thinning
322. NeurIPS 2024Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
323. NeurIPS 2024TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
324. NeurIPS 2024TAIA: Large Language Models are Out-of-Distribution Data Learners
325. NeurIPS 2024Task-Agnostic Machine-Learning-Assisted Inference
326. NeurIPS 2024Task-oriented Time Series Imputation Evaluation via Generalized Representers
327. NeurIPS 2024Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
328. NeurIPS 2024The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
329. NeurIPS 2024The Impact of Initialization on LoRA Finetuning Dynamics
330. NeurIPS 2024The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains
331. NeurIPS 2024The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
332. NeurIPS 2024The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective
333. NeurIPS 2024The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
334. NeurIPS 2024Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning
335. NeurIPS 2024Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting
336. NeurIPS 2024Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models
337. NeurIPS 2024Topological Hidden Markov Models
338. NeurIPS 2024Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models
339. NeurIPS 2024Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
340. NeurIPS 2024Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
341. NeurIPS 2024Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
342. NeurIPS 2024Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation
343. NeurIPS 2024Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
344. NeurIPS 2024Towards Stable Representations for Protein Interface Prediction
345. NeurIPS 2024Towards training digitally-tied analog blocks via hybrid gradient computation
346. NeurIPS 2024Towards Understanding Evolving Patterns in Sequential Data
347. NeurIPS 2024Training Compute-Optimal Protein Language Models
348. NeurIPS 2024Transductive Active Learning: Theory and Applications
349. NeurIPS 2024Transferable Adversarial Attacks on SAM and Its Downstream Models
350. NeurIPS 2024TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

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。