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 1,424 篇，第 22 / 29 页

1051. NeurIPS 2024ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
1052. NeurIPS 2024Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer
1053. NeurIPS 2024ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
1054. NeurIPS 2024Provable and Efficient Dataset Distillation for Kernel Ridge Regression
1055. NeurIPS 2024Proving Theorems Recursively
1056. NeurIPS 2024PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
1057. NeurIPS 2024QTIP: Quantization with Trellises and Incoherence Processing
1058. NeurIPS 2024Quantum algorithm for large-scale market equilibrium computation
1059. NeurIPS 2024Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding
1060. NeurIPS 2024RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
1061. NeurIPS 2024Real-Time Selection Under General Constraints via Predictive Inference
1062. NeurIPS 2024Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving
1063. NeurIPS 2024REDUCR: Robust Data Downsampling using Class Priority Reweighting
1064. NeurIPS 2024Referencing Where to Focus: Improving Visual Grounding with Referential Query
1065. NeurIPS 2024Reinforcement Learning Guided Semi-Supervised Learning
1066. NeurIPS 2024ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
1067. NeurIPS 2024Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
1068. NeurIPS 2024Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
1069. NeurIPS 2024Resource-Aware Federated Self-Supervised Learning with Global Class Representations
1070. NeurIPS 2024Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
1071. NeurIPS 2024Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
1072. NeurIPS 2024Revisiting Ensembling in One-Shot Federated Learning
1073. NeurIPS 2024Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
1074. NeurIPS 2024Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
1075. NeurIPS 2024Road Network Representation Learning with the Third Law of Geography
1076. NeurIPS 2024Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence
1077. NeurIPS 2024Robust Offline Active Learning on Graphs
1078. NeurIPS 2024Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
1079. NeurIPS 2024SAM-Guided Masked Token Prediction for 3D Scene Understanding
1080. NeurIPS 2024SAMPa: Sharpness-aware Minimization Parallelized
1081. NeurIPS 2024Sample Selection via Contrastive Fragmentation for Noisy Label Regression
1082. NeurIPS 2024SAND: Smooth imputation of sparse and noisy functional data with Transformer networks
1083. NeurIPS 2024SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series
1084. NeurIPS 2024Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks
1085. NeurIPS 2024Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs
1086. NeurIPS 2024Scaling Laws in Linear Regression: Compute, Parameters, and Data
1087. NeurIPS 2024SDformer: Similarity-driven Discrete Transformer For Time Series Generation
1088. NeurIPS 2024SEL-BALD: Deep Bayesian Active Learning with Selective Labels
1089. NeurIPS 2024Self-Guiding Exploration for Combinatorial Problems
1090. NeurIPS 2024Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments
1091. NeurIPS 2024Self-Labeling the Job Shop Scheduling Problem
1092. NeurIPS 2024Self-supervised Transformation Learning for Equivariant Representations
1093. NeurIPS 2024Semantic Routing via Autoregressive Modeling
1094. NeurIPS 2024Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss
1095. NeurIPS 2024SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
1096. NeurIPS 2024Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
1097. NeurIPS 2024SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead
1098. NeurIPS 2024Spiking Transformer with Experts Mixture
1099. NeurIPS 2024SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation
1100. NeurIPS 2024SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform

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。