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 649 篇，第 5 / 13 页
- ICML 2023ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction
- ICML 2023Conditions and Assumptions for Constraint-based Causal Structure Learning
- ICML 2023Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
- ICML 2023Continual Learners are Incremental Model Generalizers
- ICML 2023Contrastive Learning Meets Homophily: Two Birds with One Stone
- ICML 2023Controllability-Aware Unsupervised Skill Discovery
- ICML 2023Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
- ICML 2023Decentralized SGD and Average-direction SAM are Asymptotically Equivalent
- ICML 2023Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
- ICML 2023Deterministic equivalent and error universality of deep random features learning
- ICML 2023Differentiable and Transportable Structure Learning
- ICML 2023Dimensionality Reduction for General KDE Mode Finding
- ICML 2023Discovering Object-Centric Generalized Value Functions From Pixels
- ICML 2023Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark
- ICML 2023DUET: 2D Structured and Approximately Equivariant Representations
- ICML 2023Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
- ICML 2023E$(n)$ Equivariant Message Passing Simplicial Networks
- ICML 2023Effective Structured Prompting by Meta-Learning and Representative Verbalizer
- ICML 2023Entropy-driven Unsupervised Keypoint Representation Learning in Videos
- ICML 2023Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms
- ICML 2023Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
- ICML 2023Evaluating Unsupervised Denoising Requires Unsupervised Metrics
- ICML 2023Evidential Interactive Learning for Medical Image Captioning
- ICML 2023FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels
- ICML 2023Fair and Optimal Classification via Post-Processing
- ICML 2023Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
- ICML 2023Fair yet Asymptotically Equal Collaborative Learning
- ICML 2023Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
- ICML 2023Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
- ICML 2023FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
- ICML 2023From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
- ICML 2023From Robustness to Privacy and Back
- ICML 2023Fully Dynamic Submodular Maximization over Matroids
- ICML 2023Fundamental Tradeoffs in Learning with Prior Information
- ICML 2023Future-conditioned Unsupervised Pretraining for Decision Transformer
- ICML 2023General Covariance Data Augmentation for Neural PDE Solvers
- ICML 2023General Sequential Episodic Memory Model
- ICML 2023Generalization Bounds using Data-Dependent Fractal Dimensions
- ICML 2023Generalized Disparate Impact for Configurable Fairness Solutions in ML
- ICML 2023Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
- ICML 2023GNOT: A General Neural Operator Transformer for Operator Learning
- ICML 2023Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space
- ICML 2023GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
- ICML 2023Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games
- ICML 2023Hyperbolic Representation Learning: Revisiting and Advancing
- ICML 2023Hyperparameters in Reinforcement Learning and How To Tune Them
- ICML 2023Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
- ICML 2023Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
- ICML 2023Inflow, Outflow, and Reciprocity in Machine Learning
- ICML 2023JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
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。