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 306 篇，第 3 / 7 页

101. CVPR 2025Incomplete Multi-View Multi-label Learning via Disentangled Representation and Label Semantic Embedding
102. CVPR 2025Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
103. CVPR 2025Link-based Contrastive Learning for One-Shot Unsupervised Domain Adaptation
104. CVPR 2025LogoSP: Local-global Grouping of Superpoints for Unsupervised Semantic Segmentation of 3D Point Clouds
105. CVPR 2025LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
106. CVPR 2025MODfinity: Unsupervised Domain Adaptation with Multimodal Information Flow Intertwining
107. CVPR 2025MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction
108. CVPR 2025Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
109. CVPR 2025NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectrics
110. CVPR 2025OmniManip: Towards General Robotic Manipulation via Object-Centric Interaction Primitives as Spatial Constraints
111. CVPR 2025Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
112. CVPR 2025Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
113. CVPR 2025ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
114. CVPR 2025Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging
115. CVPR 2025Recovering Dynamic 3D Sketches from Videos
116. CVPR 2025Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification
117. CVPR 2025Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation
118. CVPR 2025Rethinking Reconstruction and Denoising in the Dark: New Perspective, General Architecture and Beyond
119. CVPR 2025Samba: A Unified Mamba-based Framework for General Salient Object Detection
120. CVPR 2025Scene-Centric Unsupervised Panoptic Segmentation
121. CVPR 2025ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion
122. CVPR 2025Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection
123. CVPR 2025Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
124. CVPR 2025SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split Optimization
125. CVPR 2025TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
126. CVPR 2025Temporally Consistent Object-Centric Learning by Contrasting Slots
127. CVPR 2025Towards General Visual-Linguistic Face Forgery Detection
128. CVPR 2025UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning
129. CVPR 2025UMFN: Unified Multi-Domain Face Normalization for Joint Cross-domain Prototype Learning and Heterogeneous Face Recognition
130. CVPR 2025UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation
131. CVPR 2025Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling
132. CVPR 2025Unsupervised Discovery of Facial Landmarks and Head Pose
133. CVPR 2025Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
134. CVPR 2025UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
135. CVPR 2025Volume Tells: Dual Cycle-Consistent Diffusion for 3D Fluorescence Microscopy De-noising and Super-Resolution
136. CVPR 20243D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation
137. CVPR 2024A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
138. CVPR 2024A General and Efficient Training for Transformer via Token Expansion
139. CVPR 2024Absolute Pose from One or Two Scaled and Oriented Features
140. CVPR 2024Aligning and Prompting Everything All at Once for Universal Visual Perception
141. CVPR 2024An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
142. CVPR 2024Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
143. CVPR 2024BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
144. CVPR 2024Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
145. CVPR 2024Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
146. CVPR 2024CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
147. CVPR 2024CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
148. CVPR 2024Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
149. CVPR 2024Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
150. CVPR 2024Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth

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。