通用机器学习 · unsupervised and semisupervised learning论文趋势 2023–2026

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。

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 3 / 13 页

101. ICLR 2023Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
102. ICLR 2023Contextual Convolutional Networks
103. ICLR 2023Continual Unsupervised Disentangling of Self-Organizing Representations
104. ICLR 2023ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond
105. ICLR 2023Contrastive Learning for Unsupervised Domain Adaptation of Time Series
106. ICLR 2023Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
107. ICLR 2023D4AM: A General Denoising Framework for Downstream Acoustic Models
108. ICLR 2023Data augmentation alone can improve adversarial training
109. ICLR 2023Deep Ensembles for Graphs with Higher-order Dependencies
110. ICLR 2023Diffusion Posterior Sampling for General Noisy Inverse Problems
111. ICLR 2023Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
112. ICLR 2023EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model
113. ICLR 2023Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation
114. ICLR 2023FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
115. ICLR 2023gDDIM: Generalized denoising diffusion implicit models
116. ICLR 2023General Neural Gauge Fields
117. ICLR 2023Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
118. ICLR 2023GNNDelete: A General Strategy for Unlearning in Graph Neural Networks
119. ICLR 2023Hebbian Deep Learning Without Feedback
120. ICLR 2023Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
121. ICLR 2023How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
122. ICLR 2023How robust is unsupervised representation learning to distribution shift?
123. ICLR 2023How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
124. ICLR 2023Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
125. ICLR 2023Information-Theoretic Analysis of Unsupervised Domain Adaptation
126. ICLR 2023Kernel Neural Optimal Transport
127. ICLR 2023Learning What and Where: Disentangling Location and Identity Tracking Without Supervision
128. ICLR 2023Learning where and when to reason in neuro-symbolic inference
129. ICLR 2023Memorization Capacity of Neural Networks with Conditional Computation
130. ICLR 2023Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
131. ICLR 2023Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN
132. ICLR 2023NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs
133. ICLR 2023Neural Systematic Binder
134. ICLR 2023Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
135. ICLR 2023On Achieving Optimal Adversarial Test Error
136. ICLR 2023On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
137. ICLR 2023One Transformer Can Understand Both 2D & 3D Molecular Data
138. ICLR 2023Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
139. ICLR 2023PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
140. ICLR 2023Parametrizing Product Shape Manifolds by Composite Networks
141. ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
142. ICLR 2023Proposal-Contrastive Pretraining for Object Detection from Fewer Data
143. ICLR 2023Pseudoinverse-Guided Diffusion Models for Inverse Problems
144. ICLR 2023Restricted Strong Convexity of Deep Learning Models with Smooth Activations
145. ICLR 2023RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection
146. ICLR 2023Robust and Controllable Object-Centric Learning through Energy-based Models
147. ICLR 2023Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
148. ICLR 2023Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
149. ICLR 2023Semi-Parametric Inducing Point Networks and Neural Processes
150. ICLR 2023Sign and Basis Invariant Networks for Spectral Graph Representation 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。