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 1,956 篇，第 8 / 40 页

351. ICML 2026Maximum-Likelihood Learning of Latent Dynamics Without Reconstruction
352. ICML 2026MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
353. ICML 2026MOES-Pred: Molecular Structural Representation Learning by Adaptive Energy-Sentinel Vibration for Generalized Property Prediction
354. ICML 2026Multi-Label Learning with Contrastive Cluster Self-Supervision for 3D Hierarchical Semantic Segmentation
355. ICML 2026Multiview Self-Representation Learning across Heterogeneous Views
356. ICML 2026Negative Sampling From the Ground Up: A Redesign for Recommendation
357. ICML 2026Newton-coupled Dual-Teacher Semi-supervised Learning Framework
358. ICML 2026NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
359. ICML 2026Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements
360. ICML 2026OCNR: Stabilizing Self-Play by Mitigating Iteration-Collapse With One-Class Novelty Rewards
361. ICML 2026Optimal Self-Consistency for Efficient Reasoning with Large Language Models
362. ICML 2026Physiology-Aware Masked Cross-Modal Reconstruction for Biosignal Representation Learning
363. ICML 2026Pianist Transformer: Towards Expressive Piano Performance Rendering via Scalable Self-Supervised Pre-Training
364. ICML 2026Pix2Key: Controllable Open-Vocabulary Retrieval with Semantic Decomposition and Self-Supervised Visual Dictionary Learning
365. ICML 2026Predicting evolutionary rate as a pretraining task improves genome language model representations
366. ICML 2026Prompt Optimization with Minimal Unlabeled Input via Meta-Reasoning
367. ICML 2026Quantitative Estimation of Target Task Performance from Unsupervised Pretext Task in Semi/Self-Supervised Learning
368. ICML 2026Quaternion Self-Attention with Shared Scores
369. ICML 2026R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
370. ICML 2026Reconstruction Outcomes Look Similar but Processes Differ: Improving Context Consistency and Coverage in Graph Masked Auto-Encoder
371. ICML 2026Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations
372. ICML 2026RECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning
373. ICML 2026Regret Pre-training: Bridging Prior and Posterior Views for Enhanced Knowledge Grounding
374. ICML 2026Reinforcement Learning via Self-Distillation
375. ICML 2026Rethinking Temporal Consistency in Video Object-Centric Learning: From Prediction to Correspondence
376. ICML 2026Rethinking Thinking Tokens: LLMs as Improvement Operators
377. ICML 2026Return-to-Go Is More Than a Number: Q-Guided Alignment for Return-Conditioned Supervised Learning
378. ICML 2026RLSF-V: Mitigating Hallucinations in MLLMs via Fuzzy Semantic Self-Feedback
379. ICML 2026Robust Filter Attention: Self-Attention as Precision-Weighted State Estimation
380. ICML 2026Robust Self-reflective Hashing for Cross-modal Retrieval with Noisy Label
381. ICML 2026Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding?
382. ICML 2026RSPO: Regularized Self-Play Alignment of Large Language Models
383. ICML 2026SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport
384. ICML 2026Scaling Prompt Synthesis for Large Language Model Reasoning
385. ICML 2026Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models
386. ICML 2026Self-Distillation Enables Continual Learning
387. ICML 2026Self-Soupervision: Cooking Model Soups without Labels
388. ICML 2026Self-Supervised Dynamical System Representations for Physiological Time-Series
389. ICML 2026Self-supervised Hierarchical Visual Reasoning with World Model
390. ICML 2026Self-Supervised Learning as Discrete Communication
391. ICML 2026Self-Supervised Weight Templates for Scalable Vision Model Initialization
392. ICML 2026SelfJudge: Faster Speculative Decoding via Self-Supervised Judge Verification
393. ICML 2026Semi-LAR: Semi-supervised Contrastive Learning with Linear Attention for Removal of Nighttime Flares
394. ICML 2026Semi-Supervised Hypothesis Testing by Betting on Predictions
395. ICML 2026Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations
396. ICML 2026SIGMA-PPG: Statistical-prior Informed Generative Masking Architecture for PPG Foundation Model
397. ICML 2026SIMPC: Learning Self-Induced Mirror-Point Consistency for Unsupervised Point Cloud Denoising
398. ICML 2026SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval
399. ICML 2026SPEAR: A Unified SSL Framework for Learning Speech and Audio Representations
400. ICML 2026Spectral Guidance for Flexible and Efficient Control of Diffusion Models

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。