通用机器学习 · unsupervised and semisupervised learning论文趋势 2023–2026
通用机器学习：unsupervised_and_semisupervised_learning
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 2,683 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 318 | 87 | 157 | 87 | 649 |
| 2024 | 118 | 236 | 115 | 84 | 553 |
| 2025 | 203 | 174 | 239 | 66 | 682 |
| 2026 | 194 | 187 | 348 | 70 | 799 |
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 2,682 篇，第 24 / 54 页
- ICML 2025KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
- ICML 2025Label Distribution Propagation-based Label Completion for Crowdsourcing
- ICML 2025Learning Changes in Graphon Attachment Network Models
- ICML 2025Learning Distances from Data with Normalizing Flows and Score Matching
- ICML 2025Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures
- ICML 2025Learning from Sample Stability for Deep Clustering
- ICML 2025Learning Imbalanced Data with Beneficial Label Noise
- ICML 2025Learning Optimal Multimodal Information Bottleneck Representations
- ICML 2025Learning Safe Strategies for Value Maximizing Buyers in Uniform Price Auctions
- ICML 2025Learning Single Index Models with Diffusion Priors
- ICML 2025Learning to Match Unpaired Data with Minimum Entropy Coupling
- ICML 2025Learnware Specification via Dual Alignment
- ICML 2025Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
- ICML 2025LightGTS: A Lightweight General Time Series Forecasting Model
- ICML 2025Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty
- ICML 2025Linear $Q$-Learning Does Not Diverge in $L^2$: Convergence Rates to a Bounded Set
- ICML 2025Linear Contextual Bandits With Interference
- ICML 2025Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space
- ICML 2025Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression
- ICML 2025LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
- ICML 2025MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
- ICML 2025Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries
- ICML 2025Mixed-curvature decision trees and random forests
- ICML 2025Model Immunization from a Condition Number Perspective
- ICML 2025Modified K-means Algorithm with Local Optimality Guarantees
- ICML 2025Multivariate Conformal Selection
- ICML 2025NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
- ICML 2025Nested Expectations with Kernel Quadrature
- ICML 2025Neurosymbolic World Models for Sequential Decision Making
- ICML 2025No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
- ICML 2025No-Regret is not enough! Bandits with General Constraints through Adaptive Regret Minimization
- ICML 2025Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
- ICML 2025Nonparametric Identification of Latent Concepts
- ICML 2025On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
- ICML 2025On Path to Multimodal Generalist: General-Level and General-Bench
- ICML 2025On the Diversity of Adversarial Ensemble Learning
- ICML 2025On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
- ICML 2025On the Power of Learning-Augmented Search Trees
- ICML 2025On Volume Minimization in Conformal Regression
- ICML 2025One-Pass Feature Evolvable Learning with Theoretical Guarantees
- ICML 2025Online Clustering of Dueling Bandits
- ICML 2025Online Learning in the Random-Order Model
- ICML 2025Optimal transport-based conformal prediction
- ICML 2025Partition First, Embed Later: Laplacian-Based Feature Partitioning for Refined Embedding and Visualization of High-Dimensional Data
- ICML 2025Permutation-Free High-Order Interaction Tests
- ICML 2025Pfeife: Automatic Pipeline Parallelism for PyTorch
- ICML 2025Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
- ICML 2025Point-Level Topological Representation Learning on Point Clouds
- ICML 2025Polynomial-Delay MAG Listing with Novel Locally Complete Orientation Rules
- ICML 2025Position: AI Scaling: From Up to Down and Out
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 · unsupervised and semisupervised learning在 ICML 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-unsupervised-and-semisupervised-learning"}
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。