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 9 / 10 页
- NeurIPS 2024In-Context Symmetries: Self-Supervised Learning through Contextual World Models
- NeurIPS 2024Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
- NeurIPS 2024Intrinsic Self-Supervision for Data Quality Audits
- NeurIPS 2024Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
- NeurIPS 2024Label Noise: Ignorance Is Bliss
- NeurIPS 2024Large Pre-trained time series models for cross-domain Time series analysis tasks
- NeurIPS 2024LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling
- NeurIPS 2024Learning from Pattern Completion: Self-supervised Controllable Generation
- NeurIPS 2024Learning predictable and robust neural representations by straightening image sequences
- NeurIPS 2024Learning to Edit Visual Programs with Self-Supervision
- NeurIPS 2024Localizing Memorization in SSL Vision Encoders
- NeurIPS 2024LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss
- NeurIPS 2024Masked Pre-training Enables Universal Zero-shot Denoiser
- NeurIPS 2024Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning
- NeurIPS 2024Memorize What Matters: Emergent Scene Decomposition from Multitraverse
- NeurIPS 2024Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs
- NeurIPS 2024MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
- NeurIPS 2024Moving Off-the-Grid: Scene-Grounded Video Representations
- NeurIPS 2024Multi-Scale Representation Learning for Protein Fitness Prediction
- NeurIPS 2024Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis
- NeurIPS 2024Neuronal Competition Groups with Supervised STDP for Spike-Based Classification
- NeurIPS 2024No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations
- NeurIPS 2024On the Complexity of Teaching a Family of Linear Behavior Cloning Learners
- NeurIPS 2024Open-Vocabulary Object Detection via Language Hierarchy
- NeurIPS 2024OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
- NeurIPS 2024PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
- NeurIPS 2024Persistence Homology Distillation for Semi-supervised Continual Learning
- NeurIPS 2024Persistent Test-time Adaptation in Recurring Testing Scenarios
- NeurIPS 2024Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization
- NeurIPS 2024Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising
- NeurIPS 2024QueST: Self-Supervised Skill Abstractions for Learning Continuous Control
- NeurIPS 2024RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
- NeurIPS 2024Reciprocal Learning
- NeurIPS 2024Reinforcement Learning Guided Semi-Supervised Learning
- NeurIPS 2024Resource-Aware Federated Self-Supervised Learning with Global Class Representations
- NeurIPS 2024Return of Unconditional Generation: A Self-supervised Representation Generation Method
- NeurIPS 2024Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
- NeurIPS 2024SAM-Guided Masked Token Prediction for 3D Scene Understanding
- NeurIPS 2024Scalable Early Childhood Reading Performance Prediction
- NeurIPS 2024Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
- NeurIPS 2024SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
- NeurIPS 2024Self-Calibrating Conformal Prediction
- NeurIPS 2024Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
- NeurIPS 2024Self-Distilled Depth Refinement with Noisy Poisson Fusion
- NeurIPS 2024Self-Guided Masked Autoencoder
- NeurIPS 2024Self-Guiding Exploration for Combinatorial Problems
- NeurIPS 2024Self-Labeling the Job Shop Scheduling Problem
- NeurIPS 2024Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations
- NeurIPS 2024Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation
- NeurIPS 2024Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels
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。