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 798 篇，第 4 / 16 页
- ICLR 2026GmNet: Revisiting Gating Mechanisms From A Frequency View
- ICLR 2026Gradient Descent with Large Step Sizes: Chaos and Fractal Convergence Region
- ICLR 2026GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series data
- ICLR 2026Hidden Breakthroughs in Language Model Training
- ICLR 2026Hierarchical Encoding Tree with Modality Mixup for Cross-modal Hashing
- ICLR 2026How Far Can Unsupervised RLVR Scale LLM Training?
- ICLR 2026Identifiability and recoverability in self-supervised models
- ICLR 2026Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
- ICLR 2026Improving Set Function Approximation with Quasi-Arithmetic Neural Networks
- ICLR 2026In Context Semi-Supervised Learning
- ICLR 2026Incomplete Multi-View Multi-Label Classification via Shared Codebook and Fused-Teacher Self-Distillation
- ICLR 2026InfoNCE Induces Gaussian Distribution
- ICLR 2026Internal Evaluation of Density-Based Clusterings with Noise
- ICLR 2026InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
- ICLR 2026Jacobian Aligned Random Forests
- ICLR 2026KDP: Simplifying Representation Dynamics in Kernel Space
- ICLR 2026KLAS: Using Similarity to Stitch Neural Networks for an Improved Accuracy-Efficiency Tradeoff
- ICLR 2026Know When to Abstain: Optimal Selective Classification with Likelihood Ratios
- ICLR 2026Large Language Model Compression with Global Rank and Sparsity Optimization
- ICLR 2026Learning Admissible Heuristics for A*: Theory and Practice
- ICLR 2026Learning from Label Proportions via Proportional Value Classification
- ICLR 2026Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability
- ICLR 2026Learning Robust Intervention Representations with Delta Embeddings
- ICLR 2026Learning to Be Uncertain: Pre-training World Models with Horizon-Calibrated Uncertainty
- ICLR 2026Let OOD Feature Exploring Vast Predefined Classifiers
- ICLR 2026LLM DNA: Tracing Model Evolution via Functional Representations
- ICLR 2026LLMs Process Lists With General Filter Heads
- ICLR 2026Lookup multivariate Kolmogorov-Arnold Networks
- ICLR 2026Maximizing Asynchronicity in Event-based Neural Networks
- ICLR 2026Maximizing Incremental Information Entropy for Contrastive Learning
- ICLR 2026Measuring the Intrinsic Dimension of Earth Representations
- ICLR 2026Mechanistic Independence: A Principle for Identifiable Disentangled Representations
- ICLR 2026Mini-cluster Guided Long-tailed Deep Clustering
- ICLR 2026Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
- ICLR 2026Modeling the Density of Pixel-level Self-supervised Embeddings for Unsupervised Pathology Segmentation in Medical CT
- ICLR 2026Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
- ICLR 2026Multimodal Classification via Total Correlation Maximization
- ICLR 2026NAB: Neural Adaptive Binning for Sparse-View CT reconstruction
- ICLR 2026Navigating the Latent Space Dynamics of Neural Models
- ICLR 2026Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers
- ICLR 2026Non-Clashing Teaching in Graphs: Algorithms, Complexity, and Bounds
- ICLR 2026On the Alignment Between Supervised and Self-Supervised Contrastive Learning
- ICLR 2026On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets
- ICLR 2026On the Predictive Power of Representation Dispersion in Language Models
- ICLR 2026On the Universality and Complexity of GNN for Solving Second-order Cone Programs
- ICLR 2026On the Wasserstein Geodesic Principal Component Analysis of probability measures
- ICLR 2026Optimal Brain Restoration for Joint Quantization and Sparsification of LLMs
- ICLR 2026OrthoRF: Exploring Orthogonality in Object-Centric Representations
- ICLR 2026PHyCLIP: $\ell_1$-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learning
- ICLR 2026Poly-attention: a general scheme for higher-order self-attention
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。