深度学习 · self supervised learning论文趋势 2023–2026
ICML/NeurIPS 深度学习方向:self_supervised_learning
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,958 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 160 | 108 | 41 | 146 | 455 |
| 2024 | 110 | 195 | 62 | 105 | 472 |
| 2025 | 147 | 195 | 72 | 83 | 497 |
| 2026 | 110 | 195 | 135 | 94 | 534 |
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 146 篇,第 3 / 3 页
- CVPR 2023Self-Supervised Representation Learning for CAD
- CVPR 2023Self-Supervised Super-Plane for Neural 3D Reconstruction
- CVPR 2023Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
- CVPR 2023SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
- CVPR 2023Semantic Scene Completion With Cleaner Self
- CVPR 2023Semi-DETR: Semi-Supervised Object Detection With Detection Transformers
- CVPR 2023Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
- CVPR 2023Semi-Supervised Learning Made Simple With Self-Supervised Clustering
- CVPR 2023Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus
- CVPR 2023Semi-Supervised Video Inpainting With Cycle Consistency Constraints
- CVPR 2023Semi-Weakly Supervised Object Kinematic Motion Prediction
- CVPR 2023SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction
- CVPR 2023Siamese DETR
- CVPR 2023Siamese Image Modeling for Self-Supervised Vision Representation Learning
- CVPR 2023Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
- CVPR 2023SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
- CVPR 2023Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention
- CVPR 2023SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
- CVPR 2023SMPConv: Self-Moving Point Representations for Continuous Convolution
- CVPR 2023SOOD: Towards Semi-Supervised Oriented Object Detection
- CVPR 2023Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence
- CVPR 2023Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising
- CVPR 2023Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
- CVPR 2023StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos
- CVPR 2023SUDS: Scalable Urban Dynamic Scenes
- CVPR 2023Supervised Masked Knowledge Distillation for Few-Shot Transformers
- CVPR 2023Switchable Representation Learning Framework With Self-Compatibility
- CVPR 2023T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection
- CVPR 2023Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
- CVPR 2023TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
- CVPR 2023The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
- CVPR 2023The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
- CVPR 2023Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
- CVPR 2023Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training
- CVPR 2023Token Contrast for Weakly-Supervised Semantic Segmentation
- CVPR 2023Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need
- CVPR 2023Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
- CVPR 2023Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity
- CVPR 2023Vector Quantization With Self-Attention for Quality-Independent Representation Learning
- CVPR 2023Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition
- CVPR 2023VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
- CVPR 2023Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving
- CVPR 2023Weakly Supervised Posture Mining for Fine-Grained Classification
- CVPR 2023Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model
- CVPR 2023Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training
- CVPR 2023Weakly-Supervised Single-View Image Relighting
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 查深度学习 · self supervised learning在 ICLR 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": "dl-self-supervised-learning"}
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。