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 684 篇，第 6 / 14 页
- ICLR 2025Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
- ICLR 2025I-Con: A Unifying Framework for Representation Learning
- ICLR 2025Identification of Intermittent Temporal Latent Process
- ICLR 2025Improving Deep Regression with Tightness
- ICLR 2025Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
- ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
- ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
- ICLR 2025Instance-dependent Early Stopping
- ICLR 2025Interaction Asymmetry: A General Principle for Learning Composable Abstractions
- ICLR 2025Interpretable Unsupervised Joint Denoising and Enhancement for Real-World low-light Scenarios
- ICLR 2025Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
- ICLR 2025Isometric Regularization for Manifolds of Functional Data
- ICLR 2025JPEG Inspired Deep Learning
- ICLR 2025Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks
- ICLR 2025Large (Vision) Language Models are Unsupervised In-Context Learners
- ICLR 2025Learning a Fast Mixing Exogenous Block MDP using a Single Trajectory
- ICLR 2025Learning from weak labelers as constraints
- ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
- ICLR 2025Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization
- ICLR 2025LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
- ICLR 2025LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
- ICLR 2025Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making
- ICLR 2025Looped Transformers for Length Generalization
- ICLR 2025Matérn Kernels for Tunable Implicit Surface Reconstruction
- ICLR 2025Medium-Difficulty Samples Constitute Smoothed Decision Boundary for Knowledge Distillation on Pruned Datasets
- ICLR 2025Memory Mosaics
- ICLR 2025MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
- ICLR 2025Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning
- ICLR 2025More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing
- ICLR 2025Multi-Scale Fusion for Object Representation
- ICLR 2025Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine
- ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
- ICLR 2025NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
- ICLR 2025On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
- ICLR 2025On the Byzantine-Resilience of Distillation-Based Federated Learning
- ICLR 2025On the Identification of Temporal Causal Representation with Instantaneous Dependence
- ICLR 2025On the Transfer of Object-Centric Representation Learning
- ICLR 2025On-the-fly Preference Alignment via Principle-Guided Decoding
- ICLR 2025Online Clustering with Nearly Optimal Consistency
- ICLR 2025Optimal Brain Apoptosis
- ICLR 2025Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction
- ICLR 2025Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling
- ICLR 2025Perturbation-Restrained Sequential Model Editing
- ICLR 2025PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
- ICLR 2025PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
- ICLR 2025PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
- ICLR 2025Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors
- ICLR 2025Progressive distillation induces an implicit curriculum
- ICLR 2025Projection Head is Secretly an Information Bottleneck
- ICLR 2025Provable unlearning in topic modeling and downstream tasks
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。