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

每年论文数

各会议论文数

按年份和会议统计

深度学习 · self supervised learning论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202316010841146455
202411019562105472
20251471957283497
202611019513594534

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

全部深度学习 · self supervised learning论文

共 146 篇,第 3 / 3 页

  1. CVPR 2023Self-Supervised Representation Learning for CAD
  2. CVPR 2023Self-Supervised Super-Plane for Neural 3D Reconstruction
  3. CVPR 2023Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
  4. CVPR 2023SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
  5. CVPR 2023Semantic Scene Completion With Cleaner Self
  6. CVPR 2023Semi-DETR: Semi-Supervised Object Detection With Detection Transformers
  7. CVPR 2023Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
  8. CVPR 2023Semi-Supervised Learning Made Simple With Self-Supervised Clustering
  9. CVPR 2023Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus
  10. CVPR 2023Semi-Supervised Video Inpainting With Cycle Consistency Constraints
  11. CVPR 2023Semi-Weakly Supervised Object Kinematic Motion Prediction
  12. CVPR 2023SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction
  13. CVPR 2023Siamese DETR
  14. CVPR 2023Siamese Image Modeling for Self-Supervised Vision Representation Learning
  15. CVPR 2023Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
  16. CVPR 2023SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
  17. CVPR 2023Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention
  18. CVPR 2023SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
  19. CVPR 2023SMPConv: Self-Moving Point Representations for Continuous Convolution
  20. CVPR 2023SOOD: Towards Semi-Supervised Oriented Object Detection
  21. CVPR 2023Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence
  22. CVPR 2023Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising
  23. CVPR 2023Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild
  24. CVPR 2023StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos
  25. CVPR 2023SUDS: Scalable Urban Dynamic Scenes
  26. CVPR 2023Supervised Masked Knowledge Distillation for Few-Shot Transformers
  27. CVPR 2023Switchable Representation Learning Framework With Self-Compatibility
  28. CVPR 2023T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection
  29. CVPR 2023Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
  30. CVPR 2023TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
  31. CVPR 2023The Devil Is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
  32. CVPR 2023The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
  33. CVPR 2023Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
  34. CVPR 2023Token Boosting for Robust Self-Supervised Visual Transformer Pre-Training
  35. CVPR 2023Token Contrast for Weakly-Supervised Semantic Segmentation
  36. CVPR 2023Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need
  37. CVPR 2023Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
  38. CVPR 2023Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity
  39. CVPR 2023Vector Quantization With Self-Attention for Quality-Independent Representation Learning
  40. CVPR 2023Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition
  41. CVPR 2023VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
  42. CVPR 2023Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving
  43. CVPR 2023Weakly Supervised Posture Mining for Fine-Grained Classification
  44. CVPR 2023Weakly Supervised Segmentation With Point Annotations for Histopathology Images via Contrast-Based Variational Model
  45. CVPR 2023Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training
  46. 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"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

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。

「深度学习」下的其他主题