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 14 / 54 页
- NeurIPS 2026Evaluating Test-Time Scaling of General LLM Agents
- NeurIPS 2026Fast Approximate $\ell_p$ Chamfer Distance via Lopsided Embeddings and Structured JL
- NeurIPS 2026Finding Koopman Invariant Subspaces via Personalized PageRank
- NeurIPS 2026Fisher information and the geometry of memorization in neural networks
- NeurIPS 2026Fixed-Size Active Statistical Inference
- NeurIPS 2026FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting
- NeurIPS 2026Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models
- NeurIPS 2026FOGO: Forgetting-aware Orthogonalization Optimizer
- NeurIPS 2026Free Decompression with Algebraic Spectral Curves
- NeurIPS 2026From Contexts to Conditionals: Statistical Self-Consistency of Persona Prompting
- NeurIPS 2026FuncFormer: Circuit Representation Learning via the Flow of Functional Propagation
- NeurIPS 2026General Agent Evaluation
- NeurIPS 2026Generalizing the Geometry of Model Merging Through Fréchet Averages
- NeurIPS 2026Geometry Matters in Packed 3D Attention
- NeurIPS 2026GISA: A Benchmark for General Information-Seeking Assistant
- NeurIPS 2026Global Convergence of Four-Layer Matrix Factorization under Random Initialization
- NeurIPS 2026GPA: General Principled Framework for Linearizing Softmax Attention via KV Cache Approximation
- NeurIPS 2026Grounded or Fabricated? Unsupervised Detection of LLM Hallucinations via Contextualized Influence on Response Embeddings
- NeurIPS 2026Hallucination-Guided Unlearning: Using Hallucination Traces to Reveal Overfitted Memories
- NeurIPS 2026HARC: Coupling Harmfulness and Refusal Capabilities for Robust Safety Alignment
- NeurIPS 2026HoloGene: Learning to Lift Sliced Spatial Transcriptomics to Holistic 3D Gene Fields
- NeurIPS 2026How Can SignSGD Outperform SGD? A Functional Scaling Law Perspective
- NeurIPS 2026How Do Language Models Compose Functions?
- NeurIPS 2026Hyperagents
- NeurIPS 2026Hypergraph Representation Learning with Hyperlink Random Effects
- NeurIPS 2026HyperTree: Scalable Unsupervised Hierarchy Discovery in Hyperbolic Space
- NeurIPS 2026Improving General Role-Playing Agents via Psychology-Grounded Reasoning and Role-Aware Policy Optimization
- NeurIPS 2026Indications of Belief-Guided Agency and Meta-Cognitive Monitoring in Large Language Models
- NeurIPS 2026Inference and Uncertainty Quantification for Streaming $r$-PCA
- NeurIPS 2026Integrating Local and Global Entropy for Uncertainty Quantification in LLMs
- NeurIPS 2026Internal Evaluation of Unsupervised Anomaly Detection Algorithms with Explanation
- NeurIPS 2026Intrinsic Information Theoretic Analysis of ReLU Nets
- NeurIPS 2026Invariant Features in Language Models: Geometric Characterization and Model Attribution
- NeurIPS 2026Inverse Linear Bandits via Linear Programs
- NeurIPS 2026Learn from your own latents and not from tokens: A sample-complexity theory
- NeurIPS 2026Learning a Maximum Entropy Model for Visual Textures using Diffusion
- NeurIPS 2026Learning Augmented Exact Exponential Algorithms
- NeurIPS 2026Learning Causal Orderings for In-Context Tabular Prediction
- NeurIPS 2026Learning Informative Invariant Representations via Hierarchical Latent Decomposition
- NeurIPS 2026Learning Menu-Based Mechanisms for Truthful Budget-Feasible Procurement
- NeurIPS 2026Learning Modular Addition with Auxiliary Modulus
- NeurIPS 2026Learning Optimal Transport Plans Via Autoregressive Token Regression
- NeurIPS 2026Learning Orthonormal Bases for Function Spaces
- NeurIPS 2026Learning to Bid in Repeated Second-Price Auctions with Dynamic Values and Aggregated Feedback
- NeurIPS 2026Learning to Persuade a Biased Receiver
- NeurIPS 2026Learning to play with spikes. Characterizing, predicting, and engineering unsupervised plasticity rules for spiking reservoir computing
- NeurIPS 2026LIBERO-PeRM: Benchmarking Personalized Robotic Manipulation
- NeurIPS 2026Local Sparsity Enables Unsupervised LLM Safety Detection
- NeurIPS 2026LookWhen? Fast Video Recognition by Learning When, Where, and What to Compute
- NeurIPS 2026Manifold Random Features
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。