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 83 篇,第 1 / 2 页
- CVPR 2025A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
- CVPR 2025A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions
- CVPR 2025A Unified Framework for Heterogeneous Semi-supervised Learning
- CVPR 2025AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction
- CVPR 2025Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models
- CVPR 2025ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3D Gaussian Splatting
- CVPR 2025Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
- CVPR 2025AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
- CVPR 2025AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning
- CVPR 2025BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
- CVPR 2025Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation
- CVPR 2025CGMatch: A Different Perspective of Semi-supervised Learning
- CVPR 2025CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning
- CVPR 2025Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
- CVPR 2025Consistency-aware Self-Training for Iterative-based Stereo Matching
- CVPR 2025COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
- CVPR 2025DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation
- CVPR 2025DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension
- CVPR 2025FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation
- CVPR 2025FFR: Frequency Feature Rectification for Weakly Supervised Semantic Segmentation
- CVPR 2025Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions
- CVPR 2025FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning
- CVPR 2025GaussTR: Foundation Model-Aligned Gaussian Transformer for Self-Supervised 3D Spatial Understanding
- CVPR 2025Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
- CVPR 2025Generating 3D-Consistent Videos from Unposed Internet Photos
- CVPR 2025GeoDepth: From Point-to-Depth to Plane-to-Depth Modeling for Self-Supervised Monocular Depth Estimation
- CVPR 2025GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction
- CVPR 2025Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks
- CVPR 2025Invisible Backdoor Attack against Self-supervised Learning
- CVPR 2025Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection
- CVPR 2025Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection
- CVPR 2025Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation
- CVPR 2025Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes
- CVPR 2025Learning Person-Specific Animatable Face Models from In-the-Wild Images via a Shared Base Model
- CVPR 2025Learning Textual Prompts for Open-World Semi-Supervised Learning
- CVPR 2025Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition
- CVPR 2025Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
- CVPR 2025Masking meets Supervision: A Strong Learning Alliance
- CVPR 2025Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
- CVPR 2025Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation
- CVPR 2025Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
- CVPR 2025MVDoppler-Pose: Multi-Modal Multi-View mmWave Sensing for Long-Distance Self-Occluded Human Walking Pose Estimation
- CVPR 2025Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising
- CVPR 2025ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining
- CVPR 2025On-Device Self-Supervised Learning of Low-Latency Monocular Depth from Only Events
- CVPR 2025ONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation
- CVPR 2025Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
- CVPR 2025Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
- CVPR 2025PointSR: Self-Regularized Point Supervision for Drone-View Object Detection
- CVPR 2025Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
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。