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 27 / 40 页
- ICLR 2024Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
- ICLR 2024Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
- ICLR 2024Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
- ICLR 2024State Representation Learning Using an Unbalanced Atlas
- ICLR 2024StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
- ICLR 2024Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
- ICLR 2024Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
- ICLR 2024Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
- ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
- ICLR 2024T-Rep: Representation Learning for Time Series using Time-Embeddings
- ICLR 2024Tailoring Self-Rationalizers with Multi-Reward Distillation
- ICLR 2024Teaching Large Language Models to Self-Debug
- ICLR 2024TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
- ICLR 2024The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
- ICLR 2024Tight Rates in Supervised Outlier Transfer Learning
- ICLR 2024Topological data analysis on noisy quantum computers
- ICLR 2024Towards a statistical theory of data selection under weak supervision
- ICLR 2024Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
- ICLR 2024Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
- ICLR 2024Training Graph Transformers via Curriculum-Enhanced Attention Distillation
- ICLR 2024Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining
- ICLR 2024Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
- ICLR 2024Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
- ICLR 2024Unsupervised Order Learning
- ICLR 2024Unsupervised Pretraining for Fact Verification by Language Model Distillation
- ICLR 2024Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
- ICLR 2024Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
- ICLR 2024Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
- ICLR 2024Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
- ICML 2024AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
- ICML 2024Auto-Linear Phenomenon in Subsurface Imaging
- ICML 2024Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
- ICML 2024Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning
- ICML 2024Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
- ICML 2024Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation
- ICML 2024Classification Under Strategic Self-Selection
- ICML 2024CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
- ICML 2024Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
- ICML 2024ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
- ICML 2024Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning
- ICML 2024Deep Neural Room Acoustics Primitive
- ICML 2024Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization
- ICML 2024Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
- ICML 2024Explorations of Self-Repair in Language Models
- ICML 2024Exploring Correlations of Self-Supervised Tasks for Graphs
- ICML 2024Federated Self-Explaining GNNs with Anti-shortcut Augmentations
- ICML 2024FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
- ICML 2024Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
- ICML 2024From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
- ICML 2024From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers
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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。