深度学习 · self supervised learning论文趋势 2023–2026

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。

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 310 篇，第 6 / 7 页

251. ICML 2024Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction
252. ICML 2024Self-Correcting Self-Consuming Loops for Generative Model Training
253. ICML 2024Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning
254. ICML 2024Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
255. ICML 2024Self-Rewarding Language Models
256. ICML 2024Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
257. ICML 2024Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity
258. ICML 2024SelfIE: Self-Interpretation of Large Language Model Embeddings
259. ICML 2024SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
260. ICML 2024SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
261. ICML 2024Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
262. ICML 2024SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
263. ICML 2024Stereographic Spherical Sliced Wasserstein Distances
264. ICML 2024Towards a Self-contained Data-driven Global Weather Forecasting Framework
265. ICML 2024Towards Realistic Model Selection for Semi-supervised Learning
266. ICML 2024Towards Theoretical Understandings of Self-Consuming Generative Models
267. ICML 2024Unveiling the Dynamics of Information Interplay in Supervised Learning
268. ICML 2024Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
269. ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
270. ICML 2023A Closer Look at Self-Supervised Lightweight Vision Transformers
271. ICML 2023A Model-free Closeness-of-influence Test for Features in Supervised Learning
272. ICML 2023Contrastive Learning Meets Homophily: Two Birds with One Stone
273. ICML 2023CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
274. ICML 2023Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
275. ICML 2023Dink-Net: Neural Clustering on Large Graphs
276. ICML 2023Distance Weighted Supervised Learning for Offline Interaction Data
277. ICML 2023Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
278. ICML 2023EM-Network: Oracle Guided Self-distillation for Sequence Learning
279. ICML 2023Evaluating Self-Supervised Learning via Risk Decomposition
280. ICML 2023Few-Sample Feature Selection via Feature Manifold Learning
281. ICML 2023Improving Visual Prompt Tuning for Self-supervised Vision Transformers
282. ICML 2023LeadFL: Client Self-Defense against Model Poisoning in Federated Learning
283. ICML 2023Learning Instance-Specific Augmentations by Capturing Local Invariances
284. ICML 2023Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs
285. ICML 2023Loss Balancing for Fair Supervised Learning
286. ICML 2023Mimetic Initialization of Self-Attention Layers
287. ICML 2023Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
288. ICML 2023NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation
289. ICML 2023On the Stepwise Nature of Self-Supervised Learning
290. ICML 2023On Uni-Modal Feature Learning in Supervised Multi-Modal Learning
291. ICML 2023Random Teachers are Good Teachers
292. ICML 2023RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank
293. ICML 2023Recasting Self-Attention with Holographic Reduced Representations
294. ICML 2023Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction
295. ICML 2023Self-Interpretable Time Series Prediction with Counterfactual Explanations
296. ICML 2023Self-supervised learning of Split Invariant Equivariant representations
297. ICML 2023Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
298. ICML 2023Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series
299. ICML 2023Simplified Temporal Consistency Reinforcement Learning
300. ICML 2023SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series

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。