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 44 / 54 页
- ICLR 2023GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
- ICLR 2023Hebbian Deep Learning Without Feedback
- ICLR 2023Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
- ICLR 2023How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
- ICLR 2023How robust is unsupervised representation learning to distribution shift?
- ICLR 2023How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
- ICLR 2023Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
- ICLR 2023Information-Theoretic Analysis of Unsupervised Domain Adaptation
- ICLR 2023Kernel Neural Optimal Transport
- ICLR 2023Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
- ICLR 2023Learning where and when to reason in neuro-symbolic inference
- ICLR 2023Memorization Capacity of Neural Networks with Conditional Computation
- ICLR 2023Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
- ICLR 2023Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN
- ICLR 2023NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs
- ICLR 2023Neural Systematic Binder
- ICLR 2023Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
- ICLR 2023On Achieving Optimal Adversarial Test Error
- ICLR 2023On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
- ICLR 2023One Transformer Can Understand Both 2D & 3D Molecular Data
- ICLR 2023Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
- ICLR 2023PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
- ICLR 2023Parametrizing Product Shape Manifolds by Composite Networks
- ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
- ICLR 2023Proposal-Contrastive Pretraining for Object Detection from Fewer Data
- ICLR 2023Pseudoinverse-Guided Diffusion Models for Inverse Problems
- ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
- ICLR 2023RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
- ICLR 2023Robust and Controllable Object-Centric Learning through Energy-based Models
- ICLR 2023Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
- ICLR 2023Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
- ICLR 2023Semi-Parametric Inducing Point Networks and Neural Processes
- ICLR 2023Sign and Basis Invariant Networks for Spectral Graph Representation Learning
- ICLR 2023Simple and Scalable Nearest Neighbor Machine Translation
- ICLR 2023Single-shot General Hyper-parameter Optimization for Federated Learning
- ICLR 2023SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models
- ICLR 2023Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
- ICLR 2023Statistical Guarantees for Consensus Clustering
- ICLR 2023Stay Moral and Explore: Learn to Behave Morally in Text-based Games
- ICLR 2023Stochastic No-regret Learning for General Games with Variance Reduction
- ICLR 2023STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
- ICLR 2023Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
- ICLR 2023The hidden uniform cluster prior in self-supervised learning
- ICLR 2023The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
- ICLR 2023The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
- ICLR 2023TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
- ICLR 2023Token Merging: Your ViT But Faster
- ICLR 2023Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
- ICLR 2023UNICORN: A Unified Backdoor Trigger Inversion Framework
- ICLR 2023Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
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。