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 553 篇，第 6 / 12 页
- ICLR 2024Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
- ICLR 2024Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
- ICLR 2024Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
- ICLR 2024Poly-View Contrastive Learning
- ICLR 2024Predicting Emergent Abilities with Infinite Resolution Evaluation
- ICLR 2024Provable Compositional Generalization for Object-Centric Learning
- ICLR 2024Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
- ICLR 2024PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
- ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
- ICLR 2024Querying Easily Flip-flopped Samples for Deep Active Learning
- ICLR 2024ReLoRA: High-Rank Training Through Low-Rank Updates
- ICLR 2024ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
- ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
- ICLR 2024Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
- ICLR 2024Rethinking the Uniformity Metric in Self-Supervised Learning
- ICLR 2024Robust Similarity Learning with Difference Alignment Regularization
- ICLR 2024Robust Training of Federated Models with Extremely Label Deficiency
- ICLR 2024Robustifying and Boosting Training-Free Neural Architecture Search
- ICLR 2024RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
- ICLR 2024Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
- ICLR 2024SAS: Structured Activation Sparsification
- ICLR 2024Scalable Monotonic Neural Networks
- ICLR 2024Scaling Laws of RoPE-based Extrapolation
- ICLR 2024Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
- ICLR 2024SemiReward: A General Reward Model for Semi-supervised Learning
- ICLR 2024Set Learning for Accurate and Calibrated Models
- ICLR 2024SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
- ICLR 2024Simplifying Transformer Blocks
- ICLR 2024Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
- ICLR 2024Sparse Autoencoders Find Highly Interpretable Features in Language Models
- ICLR 2024Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
- ICLR 2024Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
- ICLR 2024Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
- ICLR 2024Spurious Feature Diversification Improves Out-of-distribution Generalization
- ICLR 2024Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
- ICLR 2024STARC: A General Framework For Quantifying Differences Between Reward Functions
- ICLR 2024State Representation Learning Using an Unbalanced Atlas
- ICLR 2024StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
- ICLR 2024Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
- ICLR 2024SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning
- ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
- ICLR 2024Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
- ICLR 2024Teaching Arithmetic to Small Transformers
- ICLR 2024The Alignment Problem from a Deep Learning Perspective
- ICLR 2024The Expressive Power of Transformers with Chain of Thought
- ICLR 2024The mechanistic basis of data dependence and abrupt learning in an in-context classification task
- ICLR 2024Time-Varying Propensity Score to Bridge the Gap between the Past and Present
- ICLR 2024To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
- ICLR 2024Topological data analysis on noisy quantum computers
- ICLR 2024Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
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。