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 15 / 40 页
- 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
- ICLR 2025On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning
- ICLR 2025On the Optimal Memorization Capacity of Transformers
- ICLR 2025Online Clustering with Nearly Optimal Consistency
- ICLR 2025Optimal Brain Apoptosis
- ICLR 2025Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
- ICLR 2025PaPaGei: Open Foundation Models for Optical Physiological Signals
- ICLR 2025PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
- ICLR 2025PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
- ICLR 2025PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos
- ICLR 2025Population Transformer: Learning Population-level Representations of Neural Activity
- ICLR 2025PPT: Patch Order Do Matters In Time Series Pretext Task
- ICLR 2025Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
- ICLR 2025Preserving Diversity in Supervised Fine-Tuning of Large Language Models
- ICLR 2025Progress or Regress? Self-Improvement Reversal in Post-training
- ICLR 2025Progressive distillation induces an implicit curriculum
- ICLR 2025Projection Head is Secretly an Information Bottleneck
- ICLR 2025Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
- ICLR 2025Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
- ICLR 2025Realistic Evaluation of Deep Partial-Label Learning Algorithms
- ICLR 2025Refining CLIP's Spatial Awareness: A Visual-Centric Perspective
- ICLR 2025RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
- ICLR 2025Repetition Improves Language Model Embeddings
- ICLR 2025Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance
- ICLR 2025Rethinking Multiple-Instance Learning From Feature Space to Probability Space
- ICLR 2025Rethinking Spiking Neural Networks from an Ensemble Learning Perspective
- ICLR 2025Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
- ICLR 2025Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
- ICLR 2025SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting
- ICLR 2025Scalable Universal T-Cell Receptor Embeddings from Adaptive Immune Repertoires
- ICLR 2025Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
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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?
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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。