深度学习 · self supervised learning论文趋势 2023–2026

主要结论

• 深度学习 · self supervised learning论文从 2023 年的 455 篇增长到 2026 年的 534 篇，三年间扩大到约 1.2 倍。
• ICLR 是发深度学习 · self supervised learning论文最多的会议，2023–2026 年共 693 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是通用机器学习 · unsupervised and semisupervised 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「深度学习」的 11 个主题里，它的 2026 年论文数排第 4；同组增长最快的扩散模型是 4.1 倍，深度学习 · self supervised 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 2026Attending on Attention ($A^2$): Smaller Self-Supervised ViTs Localize Better Than Larger Ones
• ICML 20263D-DLP: Self-supervised 3D Object-centric Scene Representation Learning
• ICLR 2026A Single Architecture for Representing Invariance Under Any Space Group
• CVPR 2026A Stitch in Time Learning Procedural Workflow via Self-Supervised Plackett-Luce
• NeurIPS 2025$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
• ICML 2025An Augmentation-Aware Theory for Self-Supervised Contrastive Learning
• ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
• CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
• NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
• ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
• ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
• CVPR 2024Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
• NeurIPS 2023A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning
• ICML 2023A Closer Look at Self-Supervised Lightweight Vision Transformers
• ICLR 2023A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification
• CVPR 2023Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
• NeurIPS 2026AudioSphere: Towards Self-Supervised Spatial Audio Representation Models
• ICML 20263DPoV: Improving 3D understanding via Patch Ordering on Videos
• ICLR 2026Angle K-Means
• CVPR 2026Action Motifs Self-Supervised Hierarchical Representation of Human Body Movements

全部深度学习 · self supervised learning论文

共 426 篇，第 6 / 9 页

251. CVPR 2024Self-Supervised Dual Contouring
252. CVPR 2024Self-Supervised Facial Representation Learning with Facial Region Awareness
253. CVPR 2024Self-Supervised Multi-Object Tracking with Path Consistency
254. CVPR 2024Self-Supervised Representation Learning from Arbitrary Scenarios
255. CVPR 2024SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
256. CVPR 2024SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
257. CVPR 2024Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
258. CVPR 2024ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation
259. CVPR 2024SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
260. CVPR 2024Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
261. CVPR 2024Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
262. CVPR 2024SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
263. CVPR 2024SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
264. CVPR 2024Supervised Anomaly Detection for Complex Industrial Images
265. CVPR 2024Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification
266. CVPR 2024Targeted Representation Alignment for Open-World Semi-Supervised Learning
267. CVPR 2024Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
268. CVPR 2024ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
269. CVPR 2024Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
270. CVPR 2024Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
271. CVPR 2024Training Vision Transformers for Semi-Supervised Semantic Segmentation
272. CVPR 2024U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
273. CVPR 2024Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
274. CVPR 2024Unsupervised Blind Image Deblurring Based on Self-Enhancement
275. CVPR 2024Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning
276. CVPR 2024VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
277. CVPR 2024Weakly Supervised Monocular 3D Detection with a Single-View Image
278. CVPR 2024Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle
279. CVPR 2024Weakly Supervised Video Individual Counting
280. CVPR 2024What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
281. CVPR 2023ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion
282. CVPR 2023ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
283. CVPR 2023Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
284. CVPR 2023Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
285. CVPR 2023AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation
286. CVPR 2023Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
287. CVPR 2023Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
288. CVPR 2023Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
289. CVPR 2023BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos
290. CVPR 2023Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
291. CVPR 2023Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
292. CVPR 2023BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
293. CVPR 2023Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
294. CVPR 2023Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
295. CVPR 2023CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
296. CVPR 2023CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation
297. CVPR 2023Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
298. CVPR 2023Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
299. CVPR 2023Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection
300. CVPR 2023Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · self supervised learning论文？

共 1,958 篇，按年份分别是 2023 年 455 篇、2024 年 472 篇、2025 年 497 篇、2026 年 534 篇。

NeurIPS 2026 有多少篇深度学习 · self supervised learning论文？

NeurIPS 2026 有 110 篇深度学习 · self supervised learning论文，上一届是 147 篇。

ICLR 2026 有多少篇深度学习 · self supervised learning论文？

ICLR 2026 有 195 篇深度学习 · self supervised learning论文，上一届是 195 篇。

ICML 2026 有多少篇深度学习 · self supervised learning论文？

ICML 2026 有 135 篇深度学习 · self supervised learning论文，上一届是 72 篇。

CVPR 2026 有多少篇深度学习 · self supervised learning论文？

CVPR 2026 有 94 篇深度学习 · self supervised learning论文，上一届是 83 篇。

哪个会议的深度学习 · self supervised learning论文最多？

ICLR，2023–2026 年共 693 篇。