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 472 篇，第 8 / 10 页
- ICML 2024SelfIE: Self-Interpretation of Large Language Model Embeddings
- ICML 2024SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
- ICML 2024SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
- ICML 2024Speech Self-Supervised Learning Using Diffusion Model Synthetic Data
- ICML 2024SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification
- ICML 2024Stereographic Spherical Sliced Wasserstein Distances
- ICML 2024Towards a Self-contained Data-driven Global Weather Forecasting Framework
- ICML 2024Towards Realistic Model Selection for Semi-supervised Learning
- ICML 2024Towards Theoretical Understandings of Self-Consuming Generative Models
- ICML 2024Unveiling the Dynamics of Information Interplay in Supervised Learning
- ICML 2024Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
- ICML 2024What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
- NeurIPS 2024(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
- NeurIPS 2024Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- NeurIPS 2024Accelerating Augmentation Invariance Pretraining
- NeurIPS 2024Activating Self-Attention for Multi-Scene Absolute Pose Regression
- NeurIPS 2024Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
- NeurIPS 2024Adversarially Robust Decision Transformer
- NeurIPS 2024AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
- NeurIPS 2024Amortized Planning with Large-Scale Transformers: A Case Study on Chess
- NeurIPS 2024Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
- NeurIPS 2024Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection
- NeurIPS 2024Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
- NeurIPS 2024bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction
- NeurIPS 2024Bootstrapping Top-down Information for Self-modulating Slot Attention
- NeurIPS 2024CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing
- NeurIPS 2024Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning
- NeurIPS 2024Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
- NeurIPS 2024Continuous Partitioning for Graph-Based Semi-Supervised Learning
- NeurIPS 2024Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT
- NeurIPS 2024Convergence of No-Swap-Regret Dynamics in Self-Play
- NeurIPS 2024Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation
- NeurIPS 2024Cross-video Identity Correlating for Person Re-identification Pre-training
- NeurIPS 2024Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
- NeurIPS 2024DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
- NeurIPS 2024DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
- NeurIPS 2024Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis
- NeurIPS 2024DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
- NeurIPS 2024Dual Lagrangian Learning for Conic Optimization
- NeurIPS 2024DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
- NeurIPS 2024EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals
- NeurIPS 2024Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
- NeurIPS 2024Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
- NeurIPS 2024From Chaos to Clarity: 3DGS in the Dark
- NeurIPS 2024Harnessing small projectors and multiple views for efficient vision pretraining
- NeurIPS 2024How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
- NeurIPS 2024Hyperbolic Embeddings of Supervised Models
- NeurIPS 2024Identify Then Recommend: Towards Unsupervised Group Recommendation
- NeurIPS 2024ImageNet3D: Towards General-Purpose Object-Level 3D Understanding
- NeurIPS 2024Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
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。