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 497 篇,第 2 / 10 页
- CVPR 2025POT: Prototypical Optimal Transport for Weakly Supervised Semantic Segmentation
- CVPR 2025Probing the Mid-level Vision Capabilities of Self-Supervised Learning
- CVPR 2025PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
- CVPR 2025Rethinking Spiking Self-Attention Mechanism: Implementing a-XNOR Similarity Calculation in Spiking Transformers
- CVPR 2025Rotation-Equivariant Self-Supervised Method in Image Denoising
- CVPR 2025S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation
- CVPR 2025Sea-ing in Low-light
- CVPR 2025Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
- CVPR 2025Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
- CVPR 2025Self-Supervised Cross-View Correspondence with Predictive Cycle Consistency
- CVPR 2025Self-Supervised Large Scale Point Cloud Completion for Archaeological Site Restoration
- CVPR 2025Self-Supervised Learning for Color Spike Camera Reconstruction
- CVPR 2025Self-Supervised Spatial Correspondence Across Modalities
- CVPR 2025SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
- CVPR 2025Shading Meets Motion: Self-supervised Indoor 3D Reconstruction Via Simultaneous Shape-from-Shading and Structure-from-Motion
- CVPR 2025Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
- CVPR 2025Sonata: Self-Supervised Learning of Reliable Point Representations
- CVPR 2025SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts
- CVPR 2025SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
- CVPR 2025Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer
- CVPR 2025SplatFlow: Self-Supervised Dynamic Gaussian Splatting in Neural Motion Flow Field for Autonomous Driving
- CVPR 2025Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
- CVPR 2025STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
- CVPR 2025Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors
- CVPR 2025TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
- CVPR 2025Transformers without Normalization
- CVPR 2025Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
- CVPR 2025VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
- CVPR 2025Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
- CVPR 2025Weakly Supervised Semantic Segmentation via Progressive Confidence Region Expansion
- CVPR 2025Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models
- CVPR 2025When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
- CVPR 2025WISH: Weakly Supervised Instance Segmentation using Heterogeneous Labels
- ICLR 2025A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
- ICLR 2025A Differentiable Rank-Based Objective for Better Feature Learning
- ICLR 2025A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
- ICLR 2025A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
- ICLR 2025Advancing Out-of-Distribution Detection via Local Neuroplasticity
- ICLR 2025Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation
- ICLR 2025Affine Steerable Equivariant Layer for Canonicalization of Neural Networks
- ICLR 2025An Information Criterion for Controlled Disentanglement of Multimodal Data
- ICLR 2025Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
- ICLR 2025Artificial Kuramoto Oscillatory Neurons
- ICLR 2025ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks
- ICLR 2025AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations
- ICLR 2025BANGS: Game-theoretic Node Selection for Graph Self-Training
- ICLR 2025Bayesian Regularization of Latent Representation
- ICLR 2025Beyond Random Augmentations: Pretraining with Hard Views
- ICLR 2025Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
- ICLR 2025Breaking the Reclustering Barrier in Centroid-based Deep Clustering
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。