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 684 篇，第 14 / 14 页

651. ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
652. ICLR 2023Proposal-Contrastive Pretraining for Object Detection from Fewer Data
653. ICLR 2023Pseudoinverse-Guided Diffusion Models for Inverse Problems
654. ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
655. ICLR 2023RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
656. ICLR 2023Robust and Controllable Object-Centric Learning through Energy-based Models
657. ICLR 2023Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
658. ICLR 2023Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
659. ICLR 2023Semi-Parametric Inducing Point Networks and Neural Processes
660. ICLR 2023Sign and Basis Invariant Networks for Spectral Graph Representation Learning
661. ICLR 2023Simple and Scalable Nearest Neighbor Machine Translation
662. ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
663. ICLR 2023SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
664. ICLR 2023Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
665. ICLR 2023Statistical Guarantees for Consensus Clustering
666. ICLR 2023Stay Moral and Explore: Learn to Behave Morally in Text-based Games
667. ICLR 2023Stochastic No-regret Learning for General Games with Variance Reduction
668. ICLR 2023STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
669. ICLR 2023Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
670. ICLR 2023The hidden uniform cluster prior in self-supervised learning
671. ICLR 2023The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
672. ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
673. ICLR 2023TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
674. ICLR 2023Token Merging: Your ViT But Faster
675. ICLR 2023Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
676. ICLR 2023UNICORN: A Unified Backdoor Trigger Inversion Framework
677. ICLR 2023Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
678. ICLR 2023Unsupervised Learning for Combinatorial Optimization Needs Meta Learning
679. ICLR 2023Unsupervised Manifold Alignment with Joint Multidimensional Scaling
680. ICLR 2023Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
681. ICLR 2023Unsupervised Model Selection for Time Series Anomaly Detection
682. ICLR 2023Unsupervised visualization of image datasets using contrastive learning
683. ICLR 2023Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
684. ICLR 2023Variance-Aware Sparse Linear Bandits

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。