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 10 / 40 页

451. NeurIPS 2026Few-Step Diffusion Language Models via Trajectory Self-Distillation
452. NeurIPS 2026Fine-Detail Monocular Geometry Estimation with Self-Guided Sparse Volumetric Refinement
453. NeurIPS 2026FlashEvolve: Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration
454. NeurIPS 2026From Contexts to Conditionals: Statistical Self-Consistency of Persona Prompting
455. NeurIPS 2026GaitLingo: Self-Supervised Gait Representation Learning with Language Priors
456. NeurIPS 2026GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models
457. NeurIPS 2026Geometry-Aware Self-Supervised Electrophysiology Representation Learning
458. NeurIPS 2026H-Flow: Self-supervised Human Scene Flow via Physics-inspired Joint Multi-modal Learning
459. NeurIPS 2026HALO: Homotopy-Augmented Layer Optimization for Stable LLM Supervised Post-training
460. NeurIPS 2026HPE: Hallucinated Positive Entanglement for Backdoor Attacks in Federated Self-Supervised Learning
461. NeurIPS 2026Improved Weakly Supervised Semantic Segmentation with A Relationally Optimized Prototype Memory Bank Framework
462. NeurIPS 2026Improving Self-Supervised Vision Transformers with Cross Distillation
463. NeurIPS 2026Inpainting physics: self-supervised learning for context-driven fluid simulation
464. NeurIPS 2026Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators
465. NeurIPS 2026IRIS: Interpolative Rényi Iterative Self-play for Large Language Model Fine-Tuning
466. NeurIPS 2026It Takes Two: Complementary Self-Distillation for Contextual Integrity in LLMs
467. NeurIPS 2026Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling
468. NeurIPS 2026Laplacian Heads Improve Transformers by Smoothing Token Representations
469. NeurIPS 2026Learn from Your Mistakes: Self-Correcting Masked Diffusion Models
470. NeurIPS 2026Learning to Commit: Next-Commit Prediction via Online Supervised Contrastive Reflection
471. NeurIPS 2026Learning to Discover Iterative Spectral Algorithms
472. NeurIPS 2026Learning to Discriminate Scene Structures Makes Self-Supervised Depth Learning Scalable
473. NeurIPS 2026Learning to Follow In-Context Watermark Instructions via Self-Distillation
474. NeurIPS 2026Learning to Group and Order: Cross-Instance Self-Supervised RL for Vision-Centric MLLMs
475. NeurIPS 2026Less Structure is More: Minimal Representations for Supervised Learning
476. NeurIPS 2026Less Supervision, Better Generalization: Weakly Supervised Fake Region Localization in Diffusion-Edited Images
477. NeurIPS 2026Looped Transformers with Layer Normalization Provably Learn the Power Method
478. NeurIPS 2026LoRAcles: Self-Supervised Weight-Space Interpretability at Scale
479. NeurIPS 2026Managing Self-Learning Experts under Per-Round Budget Constraints
480. NeurIPS 2026Measure Less, Know More: Self-Supervised Test-Time Feature Acquisition
481. NeurIPS 2026Memory-Driven Contrastive Embedding Enhancement for Fine-Grained Open-Set Semi-Supervised Learning
482. NeurIPS 2026Meta$^n$: Recursive Self-Improvement through Emergent Depth
483. NeurIPS 2026MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents
484. NeurIPS 2026Mitigating Confidence Miscalibration in Open-World Semi-Supervised Learning
485. NeurIPS 2026Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
486. NeurIPS 2026Power Distribution Bridges Sampling, Self-Reward RL, and Self-Distillation
487. NeurIPS 2026Predictive Surprise as Self-Grounding Concept Bottleneck for Interpretable Time Series
488. NeurIPS 2026PriFT: Prior-Support Guided Token Reweighting for Supervised Fine-Tuning
489. NeurIPS 2026PRISM: Prior Relational Information for Self-supervised Modeling to Enhance Solubility OOD Generalization
490. NeurIPS 2026Prospective Hindsight: Self-Calibrating Reinforcement Learning via Prediction–Reality Gaps
491. NeurIPS 2026Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
492. NeurIPS 2026RATS! Patches Talk Through Registers: Emergent Parts in Register Attention Transformers
493. NeurIPS 2026ReflectDrive-2: Reinforcement-Learning-Aligned Self-Editing for Discrete Diffusion Driving
494. NeurIPS 2026Renoise Consistency: Unlocking Efficient Self-Correction for Diffusion Large Language Models
495. NeurIPS 2026Resilient Semi-Supervised Inference with Heterogeneous Unlabeled Data
496. NeurIPS 2026S-EDL: Eliciting Self-Evidence from Sequence Likelihoods for Semantic Calibration of LLMs
497. NeurIPS 2026Saddle-to-Saddle Dynamics in Self-Supervised Shortcut Learning
498. NeurIPS 2026SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
499. NeurIPS 2026SCTI: Self-Calibrated Trident Identification of Black-Box LLM Watermarks
500. NeurIPS 2026Self-Calibrated GUI Reward Model via Inverse Dynamic Modeling

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。