通用机器学习 · unsupervised and semisupervised learning论文趋势 2023–2026

主要结论

• 通用机器学习 · unsupervised and semisupervised learning论文从 2023 年的 649 篇增长到 2026 年的 799 篇，三年间扩大到约 1.2 倍。
• ICML 是发通用机器学习 · unsupervised and semisupervised learning论文最多的会议，2023–2026 年共 859 篇，占四个会议总量的 32%。
• 交叉方向里涨得最快的是深度学习 · self supervised learning：同时属于两个主题的论文从 2023 年的 23 篇增至 2026 年的 86 篇。
• 在「通用机器学习」的 6 个主题里，它的 2026 年论文数排第 1；同组增长最快的通用机器学习 · evaluation是 4.3 倍，通用机器学习 · unsupervised and semisupervised learning是 1.2 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 2026A general kernel framework for non-CND distance measures using $|\mathcal{D}|$-dimensional sparse landmark embeddings
• ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
• ICLR 2026A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
• CVPR 2026COG Confidence-aware Optimal Geometric Correspondence for Unsupervised Single-reference Novel Object
• NeurIPS 2025$O(\sqrt{T})$ Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
• ICML 2025A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
• ICLR 2025A General Framework for Producing Interpretable Semantic Text Embeddings
• CVPR 2025A General Adaptive Dual-level Weighting Mechanism for Remote Sensing Pansharpening
• NeurIPS 2024GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages
• ICML 2024CKGConv: General Graph Convolution with Continuous Kernels
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Dual Prototype Attention for Unsupervised Video Object Segmentation
• NeurIPS 2023$H$-Consistency Bounds: Characterization and Extensions
• ICML 2023A Mathematical Model for Curriculum Learning for Parities
• ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
• CVPR 2023A General Regret Bound of Preconditioned Gradient Method for DNN Training
• NeurIPS 2026Attention-based PCA
• ICML 2026A Control-Theoretic View of Mamba on Stability and Robustness
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026CROWn A Unified Framework for Anti-Aliased Downsampling and Phase-Calibrated Fusion

全部通用机器学习 · unsupervised and semisupervised learning论文

共 649 篇，第 13 / 13 页

601. NeurIPS 2023Statistical Insights into HSIC in High Dimensions
602. NeurIPS 2023Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
603. NeurIPS 2023Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds
604. NeurIPS 2023Tanimoto Random Features for Scalable Molecular Machine Learning
605. NeurIPS 2023Temporal Robustness against Data poisoning
606. NeurIPS 2023Temporally Disentangled Representation Learning under Unknown Nonstationarity
607. NeurIPS 2023Tester-Learners for Halfspaces: Universal Algorithms
608. NeurIPS 2023The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
609. NeurIPS 2023The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.
610. NeurIPS 2023The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance
611. NeurIPS 2023The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning
612. NeurIPS 2023The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance
613. NeurIPS 2023Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
614. NeurIPS 2023Topological Obstructions and How to Avoid Them
615. NeurIPS 2023Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
616. NeurIPS 2023Towards Free Data Selection with General-Purpose Models
617. NeurIPS 2023Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
618. NeurIPS 2023Towards robust and generalizable representations of extracellular data using contrastive learning
619. NeurIPS 2023Trade-off Between Efficiency and Consistency for Removal-based Explanations
620. NeurIPS 2023Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
621. NeurIPS 2023Transfer Learning with Affine Model Transformation
622. NeurIPS 2023Trial matching: capturing variability with data-constrained spiking neural networks
623. NeurIPS 2023UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
624. NeurIPS 2023Unbalanced Low-rank Optimal Transport Solvers
625. NeurIPS 2023Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
626. NeurIPS 2023Understanding and Improving Feature Learning for Out-of-Distribution Generalization
627. NeurIPS 2023Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes
628. NeurIPS 2023Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
629. NeurIPS 2023Universality and Limitations of Prompt Tuning
630. NeurIPS 2023Unlocking Deterministic Robustness Certification on ImageNet
631. NeurIPS 2023UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures
632. NeurIPS 2023Unsupervised Anomaly Detection with Rejection
633. NeurIPS 2023Unsupervised Behavior Extraction via Random Intent Priors
634. NeurIPS 2023Unsupervised Image Denoising with Score Function
635. NeurIPS 2023Unsupervised Learning for Solving the Travelling Salesman Problem
636. NeurIPS 2023Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera
637. NeurIPS 2023Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
638. NeurIPS 2023Unsupervised Semantic Correspondence Using Stable Diffusion
639. NeurIPS 2023Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
640. NeurIPS 2023Use perturbations when learning from explanations
641. NeurIPS 2023V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
642. NeurIPS 2023WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts
643. NeurIPS 2023Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning
644. NeurIPS 2023When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality
645. NeurIPS 2023When Can We Track Significant Preference Shifts in Dueling Bandits?
646. NeurIPS 2023xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data
647. NeurIPS 2023Zero-shot causal learning
648. NeurIPS 2023Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria
649. NeurIPS 2023Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization

常见问题

2023–2026 年四大会议一共有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

共 2,683 篇，按年份分别是 2023 年 649 篇、2024 年 553 篇、2025 年 682 篇、2026 年 799 篇。

NeurIPS 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

NeurIPS 2026 有 194 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 203 篇。

ICLR 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

ICLR 2026 有 187 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 174 篇。

ICML 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

ICML 2026 有 348 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 239 篇。

CVPR 2026 有多少篇通用机器学习 · unsupervised and semisupervised learning论文？

CVPR 2026 有 70 篇通用机器学习 · unsupervised and semisupervised learning论文，上一届是 66 篇。

哪个会议的通用机器学习 · unsupervised and semisupervised learning论文最多？

ICML，2023–2026 年共 859 篇。