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 693 篇，第 6 / 14 页
- ICLR 2025Exploring Learning Complexity for Efficient Downstream Dataset Pruning
- ICLR 2025FACTS: A Factored State-Space Framework for World Modelling
- ICLR 2025For Better or For Worse? Learning Minimum Variance Features With Label Augmentation
- ICLR 2025Formation of Representations in Neural Networks
- ICLR 2025Forte : Finding Outliers with Representation Typicality Estimation
- ICLR 2025Frequency-Guided Masking for Enhanced Vision Self-Supervised Learning
- ICLR 2025From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions
- ICLR 2025Generalized Behavior Learning from Diverse Demonstrations
- ICLR 2025Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions
- ICLR 2025GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
- ICLR 2025Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Transformers
- ICLR 2025GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching
- ICLR 2025Group Downsampling with Equivariant Anti-aliasing
- ICLR 2025HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
- ICLR 2025I-Con: A Unifying Framework for Representation Learning
- ICLR 2025Identification of Intermittent Temporal Latent Process
- ICLR 2025Improving Deep Regression with Tightness
- ICLR 2025Improving Neural Network Accuracy by Concurrently Training with a Twin Network
- ICLR 2025In-Context Editing: Learning Knowledge from Self-Induced Distributions
- ICLR 2025Instance-dependent Early Stopping
- ICLR 2025Integrative Decoding: Improving Factuality via Implicit Self-consistency
- ICLR 2025Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
- ICLR 2025Isometric Regularization for Manifolds of Functional Data
- ICLR 2025JPEG Inspired Deep Learning
- ICLR 2025Language Imbalance Driven Rewarding for Multilingual Self-improving
- ICLR 2025Large Convolutional Model Tuning via Filter Subspace
- ICLR 2025Large Language Models can Become Strong Self-Detoxifiers
- ICLR 2025Learn hybrid prototypes for multivariate time series anomaly detection
- ICLR 2025Learning Mask Invariant Mutual Information for Masked Image Modeling
- ICLR 2025Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
- ICLR 2025Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving
- ICLR 2025LLaRA: Supercharging Robot Learning Data for Vision-Language Policy
- ICLR 2025Looped Transformers for Length Generalization
- ICLR 2025MAESTRO: Masked Encoding Set Transformer with Self-Distillation
- ICLR 2025Matérn Kernels for Tunable Implicit Surface Reconstruction
- ICLR 2025Memory Mosaics
- ICLR 2025MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
- ICLR 2025MIND over Body: Adaptive Thinking using Dynamic Computation
- ICLR 2025Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
- ICLR 2025Mitigate the Gap: Improving Cross-Modal Alignment in CLIP
- ICLR 2025Mixture of In-Context Prompters for Tabular PFNs
- ICLR 2025More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing
- ICLR 2025Morphing Tokens Draw Strong Masked Image Models
- ICLR 2025Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment
- ICLR 2025Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
- ICLR 2025Near, far: Patch-ordering enhances vision foundation models' scene understanding
- ICLR 2025NEAR: A Training-Free Pre-Estimator of Machine Learning Model Performance
- ICLR 2025Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
- ICLR 2025Object-Centric Pretraining via Target Encoder Bootstrapping
- ICLR 2025On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding
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。