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 187 篇,第 1 / 4 页
- ICLR 2026(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
- ICLR 2026A Bayesian Nonparametric Framework For Learning Disentangled Representations
- ICLR 2026A General Framework for Black-Box Attacks Under Cost Asymmetry
- ICLR 2026A General Spatio-Temporal Backbone with Scalable Contextual Pattern Bank for Urban Continual Forecasting
- ICLR 2026A Generalized Geometric Theoretical Framework of Centroid Discriminant Analysis for Linear Classification of Multi-dimensional Data
- ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
- ICLR 2026A universal compression theory: Lottery ticket hypothesis and superpolynomial scaling laws
- ICLR 2026Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms
- ICLR 2026Active Learning of 3D Gaussian Splatting with Consistent Region Partition and Robust Pose Estimation
- ICLR 2026Aligning Collaborative View Recovery and Tensorial Subspace Learning via Latent Representation for Incomplete Multi-View Clustering
- ICLR 2026AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification
- ICLR 2026Angle K-Means
- ICLR 2026AnyUp: Universal Feature Upsampling
- ICLR 2026APPLE: Toward General Active Perception via Reinforcement Learning
- ICLR 2026Astra: General Interactive World Model with Autoregressive Denoising
- ICLR 2026ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
- ICLR 2026BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
- ICLR 2026Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
- ICLR 2026Bi-Lipschitz Autoencoder With Injectivity Guarantee
- ICLR 2026BioX-Bridge: Model Bridging for Unsupervised Cross-Modal Knowledge Transfer across Biosignals
- ICLR 2026Boosting Open Set Recognition Performance through Modulated Representation Learning
- ICLR 2026Breaking Gradient Temporal Collinearity for Robust Spiking Neural Networks
- ICLR 2026Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
- ICLR 2026Cartridges: Lightweight and general-purpose long context representations via self-study
- ICLR 2026CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
- ICLR 2026Closing the Modality Gap Aligns Group-Wise Semantics
- ICLR 2026CMT: Mid-Training for Efficient Learning of Consistency, Mean Flow, and Flow-Map Models
- ICLR 2026COMAL: A Convergent Meta-Algorithm for Aligning LLMs with General Preferences
- ICLR 2026Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing
- ICLR 2026Conformalized Survival Counterfactuals Prediction for General Right-Censored Data
- ICLR 2026Constant Degree Matrix-Driven Incomplete Multi-View Clustering via Connectivity-Structure and Embedding Tensor Learning
- ICLR 2026Context and Diversity Matter: The Emergence of In-Context Learning in World Models
- ICLR 2026Contrastive Predictive Coding Done Right for Mutual Information Estimation
- ICLR 2026Convergence Analysis of Tsetlin Machines under Noise-Free and Noisy Training Conditions: from $2$ Bits to $k$ Bits
- ICLR 2026Convergence of Regret Matching in Potential Games and Constrained Optimization
- ICLR 2026Convergent Differential Privacy Analysis for General Federated Learning
- ICLR 2026COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
- ICLR 2026Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal Transport
- ICLR 2026CSRv2: Unlocking Ultra-Sparse Embeddings
- ICLR 2026CUPID: A Plug-in Framework for Joint Aleatoric and Epistemic Uncertainty Estimation with a Single Model
- ICLR 2026Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence
- ICLR 2026DAVE: A VLM Vision Encoder for Document Understanding and Web Agents
- ICLR 2026Debiased and Denoised Projection Learning for Incomplete Multi-view Clustering
- ICLR 2026Debugging Concept Bottleneck Models through Removal and Retraining
- ICLR 2026Decomposing Representation Space into Interpretable Subspaces with Unsupervised Learning
- ICLR 2026Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
- ICLR 2026Decoupling Positional and Symbolic Attention in Transformers
- ICLR 2026Decoupling the Class Label and the Target Concept in Machine Unlearning
- ICLR 2026DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification
- ICLR 2026Difference Predictive Coding for Training Spiking Neural Networks
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。