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 43 / 54 页
- CVPR 2023Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
- CVPR 2023Unifying Short and Long-Term Tracking With Graph Hierarchies
- CVPR 2023Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
- CVPR 2023Unsupervised Continual Semantic Adaptation Through Neural Rendering
- CVPR 2023Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
- CVPR 2023Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow
- CVPR 2023Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity
- CVPR 2023Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
- CVPR 2023Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation
- CVPR 2023Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors
- CVPR 2023Unsupervised Intrinsic Image Decomposition With LiDAR Intensity
- CVPR 2023Unsupervised Object Localization: Observing the Background To Discover Objects
- CVPR 2023Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
- CVPR 2023Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
- CVPR 2023Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
- CVPR 2023Unsupervised Volumetric Animation
- CVPR 2023Upcycling Models Under Domain and Category Shift
- CVPR 2023Variational Distribution Learning for Unsupervised Text-to-Image Generation
- CVPR 2023Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations
- CVPR 2023Why Is the Winner the Best?
- ICLR 2023A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
- ICLR 2023A General Rank Preserving Framework for Asymmetric Image Retrieval
- ICLR 2023A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
- ICLR 2023A Theoretical Framework for Inference and Learning in Predictive Coding Networks
- ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
- ICLR 2023Agnostic Learning of General ReLU Activation Using Gradient Descent
- ICLR 2023Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
- ICLR 2023Can discrete information extraction prompts generalize across language models?
- ICLR 2023Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
- ICLR 2023Characterizing intrinsic compositionality in transformers with Tree Projections
- ICLR 2023Choreographer: Learning and Adapting Skills in Imagination
- ICLR 2023CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
- ICLR 2023Code Translation with Compiler Representations
- ICLR 2023Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
- ICLR 2023Contextual Convolutional Networks
- ICLR 2023Continual Unsupervised Disentangling of Self-Organizing Representations
- ICLR 2023ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
- ICLR 2023Contrastive Learning for Unsupervised Domain Adaptation of Time Series
- ICLR 2023Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
- ICLR 2023D4AM: A General Denoising Framework for Downstream Acoustic Models
- ICLR 2023Data augmentation alone can improve adversarial training
- ICLR 2023Deep Ensembles for Graphs with Higher-order Dependencies
- ICLR 2023Diffusion Posterior Sampling for General Noisy Inverse Problems
- ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
- ICLR 2023EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
- ICLR 2023Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
- ICLR 2023FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
- ICLR 2023gDDIM: Generalized denoising diffusion implicit models
- ICLR 2023General Neural Gauge Fields
- ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
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。