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 11 / 29 页

501. NeurIPS 2025Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
502. NeurIPS 2025Boosting Adversarial Transferability with Spatial Adversarial Alignment
503. NeurIPS 2025Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation
504. NeurIPS 2025CALM-PDE: Continuous and Adaptive Convolutions for Latent Space Modeling of Time-dependent PDEs
505. NeurIPS 2025CLEAR: Command Level Annotated Dataset for Ransomware Detection
506. NeurIPS 2025CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
507. NeurIPS 2025Coloring Learning for Heterophilic Graph Representation
508. NeurIPS 2025ComRank: Ranking Loss for Multi-Label Complementary Label Learning
509. NeurIPS 2025Confusion-Driven Self-Supervised Progressively Weighted Ensemble Learning for Non-Exemplar Class Incremental Learning
510. NeurIPS 2025Consensus-Robust Transfer Attacks via Parameter and Representation Perturbations
511. NeurIPS 2025Contrastive Self-Supervised Learning As Neural Manifold Packing
512. NeurIPS 2025Correcting misinterpretations of additive models
513. NeurIPS 2025Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning
514. NeurIPS 2025CoUn: Empowering Machine Unlearning via Contrastive Learning
515. NeurIPS 2025Data-Free Model Extraction for Black-box Recommender Systems via Graph Convolutions
516. NeurIPS 2025Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation
517. NeurIPS 2025DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition
518. NeurIPS 2025Decoupled Entropy Minimization
519. NeurIPS 2025DeltaPhi: Physical States Residual Learning for Neural Operators in Data-Limited PDE Solving
520. NeurIPS 2025Demystifying Spectral Feature Learning for Instrumental Variable Regression
521. NeurIPS 2025Diffusion-Guided Graph Data Augmentation
522. NeurIPS 2025Disentanglement Beyond Static vs. Dynamic: A Benchmark and Evaluation Framework for Multi-Factor Sequential Representations
523. NeurIPS 2025Distributionally Robust Performative Optimization
524. NeurIPS 2025Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
525. NeurIPS 2025Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings
526. NeurIPS 2025DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge
527. NeurIPS 2025DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing
528. NeurIPS 2025EddyFormer: Accelerated Neural Simulations of Three-Dimensional Turbulence at Scale
529. NeurIPS 2025Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem
530. NeurIPS 2025EngiBench: A Framework for Data-Driven Engineering Design Research
531. NeurIPS 2025Enhancing Contrastive Learning with Variable Similarity
532. NeurIPS 2025Enhancing Privacy in Multimodal Federated Learning with Information Theory
533. NeurIPS 2025ENMA: Tokenwise Autoregression for Continuous Neural PDE Operators
534. NeurIPS 2025Evaluating LLM-contaminated Crowdsourcing Data Without Ground Truth
535. NeurIPS 2025Exploring and Exploiting Model Uncertainty in Bayesian Optimization
536. NeurIPS 2025Exploring Structural Degradation in Dense Representations for Self-supervised Learning
537. NeurIPS 2025Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
538. NeurIPS 2025FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning
539. NeurIPS 2025Flick: Empowering Federated Learning with Commonsense Knowledge
540. NeurIPS 2025Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning
541. NeurIPS 2025From Replication to Redesign: Exploring Pairwise Comparisons for LLM-Based Peer Review
542. NeurIPS 2025From Sequence to Structure: Uncovering Substructure Reasoning in Transformers
543. NeurIPS 2025From Synapses to Dynamics: Obtaining Function from Structure in a Connectome Constrained Model of the Head Direction Circuit
544. NeurIPS 2025Functional Scaling Laws in Kernel Regression: Loss Dynamics and Learning Rate Schedules
545. NeurIPS 2025Functional Virtual Adversarial Training for Semi-Supervised Time Series Classification
546. NeurIPS 2025Gaussian Approximation and Concentration of Constant Learning-Rate Stochastic Gradient Descent
547. NeurIPS 2025Generating and Checking DNN Verification Proofs
548. NeurIPS 2025Geometric Algorithms for Neural Combinatorial Optimization with Constraints
549. NeurIPS 2025Geometry Aware Operator Transformer as an efficient and accurate neural surrogate for PDEs on arbitrary domains
550. NeurIPS 2025GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents

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。