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 27 / 54 页
- NeurIPS 2025BeyondMix: Leveraging Structural Priors and Long-Range Dependencies for Domain-Invariant LiDAR Segmentation
- NeurIPS 2025Bisecle: Binding and Separation in Continual Learning for Video Language Understanding
- NeurIPS 2025BMW: Bidirectionally Memory bank reWriting for Unsupervised Person Re-Identification
- NeurIPS 2025Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
- NeurIPS 2025Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness
- NeurIPS 2025CADGrasp: Learning Contact and Collision Aware General Dexterous Grasping in Cluttered Scenes
- NeurIPS 2025CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination
- NeurIPS 2025Causal Mixture Models: Characterization and Discovery
- NeurIPS 2025CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
- NeurIPS 2025Chain of Execution Supervision Promotes General Reasoning in Large Language Models
- NeurIPS 2025CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting
- NeurIPS 2025CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
- NeurIPS 2025Collapsing Taylor Mode Automatic Differentiation
- NeurIPS 2025ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback
- NeurIPS 2025Composing Linear Layers from Irreducibles
- NeurIPS 2025Conditional Distribution Compression via the Kernel Conditional Mean Embedding
- NeurIPS 2025Conditional Forecasts and Proper Scoring Rules for Reliable and Accurate Performative Predictions
- NeurIPS 2025Conditional Representation Learning for Customized Tasks
- NeurIPS 2025Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery
- NeurIPS 2025Constrained Best Arm Identification
- NeurIPS 2025Continual Model Merging without Data: Dual Projections for Balancing Stability and Plasticity
- NeurIPS 2025Continual Multimodal Contrastive Learning
- NeurIPS 2025Continuous Simplicial Neural Networks
- NeurIPS 2025CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
- NeurIPS 2025CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning
- NeurIPS 2025Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery
- NeurIPS 2025Deno-IF: Unsupervised Noisy Visible and Infrared Image Fusion Method
- NeurIPS 2025DGCBench: A Deep Graph Clustering Benchmark
- NeurIPS 2025Differentiable Generalized Sliced Wasserstein Plans
- NeurIPS 2025Differentiable Structure Learning and Causal Discovery for General Binary Data
- NeurIPS 2025Disentangled Representation Learning via Modular Compositional Bias
- NeurIPS 2025Diversity Is All You Need for Contrastive Learning: Spectral Bounds on Gradient Magnitudes
- NeurIPS 2025Dual-Space Semantic Synergy Distillation for Continual Learning of Unlabeled Streams
- NeurIPS 2025DUET: Dual-Perspective Pseudo Labeling and Uncertainty-aware Exploration & Exploitation Training for Source-Free Domain Adaptation
- NeurIPS 2025Efficient $k$-Sparse Band–Limited Interpolation with Improved Approximation Ratio
- NeurIPS 2025Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles
- NeurIPS 2025Efficient Representativeness-Aware Coreset Selection
- NeurIPS 2025Energy-based generator matching: A neural sampler for general state space
- NeurIPS 2025Enhancing Contrastive Learning with Variable Similarity
- NeurIPS 2025Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection
- NeurIPS 2025Enhancing Sample Selection Against Label Noise by Cutting Mislabeled Easy Examples
- NeurIPS 2025Entropy-Calibrated Label Distribution Learning
- NeurIPS 2025Estimating Model Performance Under Covariate Shift Without Labels
- NeurIPS 2025EUGens: Efficient, Unified and General Dense Layers
- NeurIPS 2025Evaluating and Learning Optimal Dynamic Treatment Regimes under Truncation by Death
- NeurIPS 2025FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens
- NeurIPS 2025FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation
- NeurIPS 2025Fast MRI for All: Bridging Access Gaps by Training without Raw Data
- NeurIPS 2025Fast Training of Large Kernel Models with Delayed Projections
- NeurIPS 2025FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated 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。