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 32 / 54 页
- CVPR 2024Unsupervised Blind Image Deblurring Based on Self-Enhancement
- CVPR 2024Unsupervised Deep Unrolling Networks for Phase Unwrapping
- CVPR 2024Unsupervised Feature Learning with Emergent Data-Driven Prototypicality
- CVPR 2024Unsupervised Gaze Representation Learning from Multi-view Face Images
- CVPR 2024Unsupervised Keypoints from Pretrained Diffusion Models
- CVPR 2024Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos
- CVPR 2024Unsupervised Occupancy Learning from Sparse Point Cloud
- CVPR 2024Unsupervised Salient Instance Detection
- CVPR 2024Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
- CVPR 2024Unsupervised Template-assisted Point Cloud Shape Correspondence Network
- CVPR 2024Unsupervised Universal Image Segmentation
- CVPR 2024Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
- CVPR 2024VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation
- CVPR 2024VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
- ICLR 2024"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
- ICLR 2024$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity
- ICLR 2024A General Framework for User-Guided Bayesian Optimization
- ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
- ICLR 2024A Mutual Information Perspective on Federated Contrastive Learning
- ICLR 2024A path-norm toolkit for modern networks: consequences, promises and challenges
- ICLR 2024A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
- ICLR 2024A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
- ICLR 2024A representation-learning game for classes of prediction tasks
- ICLR 2024A Restoration Network as an Implicit Prior
- ICLR 2024A Simple and Effective Pruning Approach for Large Language Models
- ICLR 2024A Unified and General Framework for Continual Learning
- ICLR 2024Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
- ICLR 2024ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
- ICLR 2024Adapting Large Language Models via Reading Comprehension
- ICLR 2024ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
- ICLR 2024Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
- ICLR 2024AffineQuant: Affine Transformation Quantization for Large Language Models
- ICLR 2024Algorithms for Caching and MTS with reduced number of predictions
- ICLR 2024Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
- ICLR 2024Approximately Piecewise E(3) Equivariant Point Networks
- ICLR 2024Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
- ICLR 2024Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
- ICLR 2024Attention-based Iterative Decomposition for Tensor Product Representation
- ICLR 2024AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
- ICLR 2024Batch normalization is sufficient for universal function approximation in CNNs
- ICLR 2024BatchPrompt: Accomplish more with less
- ICLR 2024BECLR: Batch Enhanced Contrastive Few-Shot Learning
- ICLR 2024Benchmarking and Improving Generator-Validator Consistency of Language Models
- ICLR 2024Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
- ICLR 2024Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values
- ICLR 2024Boosting Graph Anomaly Detection with Adaptive Message Passing
- ICLR 2024Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
- ICLR 2024Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
- ICLR 2024CABINET: Content Relevance-based Noise Reduction for Table Question Answering
- ICLR 2024Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
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。