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 1,956 篇，第 23 / 40 页
- CVPR 2024Self-correcting LLM-controlled Diffusion Models
- CVPR 2024Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
- CVPR 2024Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
- CVPR 2024Self-supervised Debiasing Using Low Rank Regularization
- CVPR 2024Self-Supervised Dual Contouring
- CVPR 2024Self-Supervised Facial Representation Learning with Facial Region Awareness
- CVPR 2024Self-Supervised Multi-Object Tracking with Path Consistency
- CVPR 2024Self-Supervised Representation Learning from Arbitrary Scenarios
- CVPR 2024SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction
- CVPR 2024SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation
- CVPR 2024Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language
- CVPR 2024ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation
- CVPR 2024SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
- CVPR 2024Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
- CVPR 2024Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
- CVPR 2024SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers
- CVPR 2024SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation
- CVPR 2024Supervised Anomaly Detection for Complex Industrial Images
- CVPR 2024Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification
- CVPR 2024Targeted Representation Alignment for Open-World Semi-Supervised Learning
- CVPR 2024Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
- CVPR 2024ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
- CVPR 2024Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
- CVPR 2024Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
- CVPR 2024Training Vision Transformers for Semi-Supervised Semantic Segmentation
- CVPR 2024U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
- CVPR 2024Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
- CVPR 2024Unsupervised Blind Image Deblurring Based on Self-Enhancement
- CVPR 2024Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning
- CVPR 2024VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
- CVPR 2024Weakly Supervised Monocular 3D Detection with a Single-View Image
- CVPR 2024Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle
- CVPR 2024Weakly Supervised Video Individual Counting
- CVPR 2024What When and Where? Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions
- ICLR 20243D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
- ICLR 2024A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
- ICLR 2024A Mutual Information Perspective on Federated Contrastive Learning
- ICLR 2024A Recipe for Improved Certifiable Robustness
- ICLR 2024A representation-learning game for classes of prediction tasks
- ICLR 2024Accelerated Sampling with Stacked Restricted Boltzmann Machines
- ICLR 2024An Investigation of Representation and Allocation Harms in Contrastive Learning
- ICLR 2024Annealing Self-Distillation Rectification Improves Adversarial Training
- ICLR 2024Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
- ICLR 2024Attention-based Iterative Decomposition for Tensor Product Representation
- ICLR 2024AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning
- ICLR 2024Batch normalization is sufficient for universal function approximation in CNNs
- ICLR 2024BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
- ICLR 2024Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- ICLR 2024Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
- ICLR 2024Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
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。