通用机器学习 · supervised learning论文趋势 2023–2026
通用机器学习：supervised_learning
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,425 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 98 | 45 | 44 | 76 | 263 |
| 2024 | 375 | 41 | 44 | 51 | 511 |
| 2025 | 171 | 40 | 114 | 47 | 372 |
| 2026 | 87 | 48 | 111 | 33 | 279 |
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 313 篇，第 5 / 7 页
- ICML 2025SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
- ICML 2025SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
- ICML 2025Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
- ICML 2025Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
- ICML 2025Shifting Time: Time-series Forecasting with Khatri-Rao Neural Operators
- ICML 2025Simplifying DINO via Coding Rate Regularization
- ICML 2025Spherical Rotation Dimension Reduction with Geometric Loss Functions
- ICML 2025Stabilizing Sample Similarity in Representation via Mitigating Random Consistency
- ICML 2025Stray Intrusive Outliers-Based Feature Selection on Intra-Class Asymmetric Instance Distribution or Multiple High-Density Clusters
- ICML 2025Survival Analysis via Density Estimation
- ICML 2025Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank
- ICML 2025Testing Conditional Mean Independence Using Generative Neural Networks
- ICML 2025Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
- ICML 2025TLLC: Transfer Learning-based Label Completion for Crowdsourcing
- ICML 2025Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification
- ICML 2025Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
- ICML 2025TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree
- ICML 2025Trusted Multi-View Classification with Expert Knowledge Constraints
- ICML 2025Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
- ICML 2025Understanding Model Ensemble in Transferable Adversarial Attack
- ICML 2025Understanding the Unfairness in Network Quantization
- ICML 2025Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
- ICML 2025Weakly Supervised Anomaly Detection via Dual-Tailed Kernel
- ICML 2025Weakly-Supervised Contrastive Learning for Imprecise Class Labels
- ICML 2025X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
- ICML 2024A General Framework for Learning from Weak Supervision
- ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
- ICML 2024A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
- ICML 2024A3S: A General Active Clustering Method with Pairwise Constraints
- ICML 2024Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
- ICML 2024Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning
- ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
- ICML 2024Boosting Offline Optimizers with Surrogate Sensitivity
- ICML 2024Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
- ICML 2024Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
- ICML 2024Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
- ICML 2024ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
- ICML 2024Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
- ICML 2024Counterfactual Metarules for Local and Global Recourse
- ICML 2024Deep Stochastic Mechanics
- ICML 2024Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
- ICML 2024Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
- ICML 2024Equivariant Graph Neural Operator for Modeling 3D Dynamics
- ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
- ICML 2024FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
- ICML 2024From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
- ICML 2024Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
- ICML 2024High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
- ICML 2024Implicit Representations via Operator Learning
- ICML 2024Improved Operator Learning by Orthogonal Attention
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查通用机器学习 · supervised learning在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "gml-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。