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 18 / 40 页

851. ICML 2025Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning
852. ICML 2025QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
853. ICML 2025Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
854. ICML 2025Rethinking Chain-of-Thought from the Perspective of Self-Training
855. ICML 2025Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
856. ICML 2025Robust Autonomy Emerges from Self-Play
857. ICML 2025Sample-Optimal Agnostic Boosting with Unlabeled Data
858. ICML 2025scSSL-Bench: Benchmarking Self-Supervised Learning for Single-Cell Data
859. ICML 2025SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
860. ICML 2025Self-Consistency Preference Optimization
861. ICML 2025Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
862. ICML 2025Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisoner's Dilemma
863. ICML 2025Self-supervised Adversarial Purification for Graph Neural Networks
864. ICML 2025Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
865. ICML 2025Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
866. ICML 2025Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
867. ICML 2025SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
868. ICML 2025Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images
869. ICML 2025Simplifying DINO via Coding Rate Regularization
870. ICML 2025SPMC: Self-Purifying Federated Backdoor Defense via Margin Contribution
871. ICML 2025Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation
872. ICML 2025Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching
873. ICML 2025The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning
874. ICML 2025The underlying structures of self-attention: symmetry, directionality, and emergent dynamics in Transformer training
875. ICML 2025TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
876. ICML 2025TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
877. ICML 2025Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning
878. ICML 2025Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration
879. ICML 2025Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
880. ICML 2025Tree-Sliced Wasserstein Distance with Nonlinear Projection
881. ICML 2025Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
882. ICML 2025Weakly-Supervised Contrastive Learning for Imprecise Class Labels
883. NeurIPS 2025$\epsilon$-Seg: Sparsely Supervised Semantic Segmentation of Microscopy Data
884. NeurIPS 2025$\textit{HiMaCon:}$ Discovering Hierarchical Manipulation Concepts from Unlabeled Multi-Modal Data
885. NeurIPS 20251000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities
886. NeurIPS 20253D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
887. NeurIPS 20254DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos
888. NeurIPS 2025A Geometric Analysis of PCA
889. NeurIPS 2025A multiscale analysis of mean-field transformers in the moderate interaction regime
890. NeurIPS 2025AdaTS: Learning Adaptive Time Series Representations via Dynamic Soft Contrasts
891. NeurIPS 2025Adv-SSL: Adversarial Self-Supervised Representation Learning with Theoretical Guarantees
892. NeurIPS 2025Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
893. NeurIPS 2025Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning
894. NeurIPS 2025Asymptotically Stable Quaternion-valued Hopfield-structured Neural Network with Periodic Projection-based Supervised Learning Rules
895. NeurIPS 2025BaRISTA: Brain Scale Informed Spatiotemporal Representation of Human Intracranial Neural Activity
896. NeurIPS 2025Bayes optimal learning of attention-indexed models
897. NeurIPS 2025BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization
898. NeurIPS 2025Bipolar Self-attention for Spiking Transformers
899. NeurIPS 2025BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
900. NeurIPS 2025CG-SSL: Concept-Guided 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。