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

每年论文数

各会议论文数

按年份和会议统计

深度学习 · self supervised learning论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202316010841146455
202411019562105472
20251471957283497
202611019513594534

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

全部深度学习 · self supervised learning论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 1,956 篇，第 24 / 40 页

  1. ICLR 2024Bridging State and History Representations: Understanding Self-Predictive RL
  2. ICLR 2024CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
  3. ICLR 2024Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
  4. ICLR 2024CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
  5. ICLR 2024Cauchy-Schwarz Divergence Information Bottleneck for Regression
  6. ICLR 2024Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
  7. ICLR 2024CODE REPRESENTATION LEARNING AT SCALE
  8. ICLR 2024Compressing Latent Space via Least Volume
  9. ICLR 2024ConR: Contrastive Regularizer for Deep Imbalanced Regression
  10. ICLR 2024Consistent Multi-Class Classification from Multiple Unlabeled Datasets
  11. ICLR 2024Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
  12. ICLR 2024Contrastive Learning is Spectral Clustering on Similarity Graph
  13. ICLR 2024CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
  14. ICLR 2024DAFA: Distance-Aware Fair Adversarial Training
  15. ICLR 2024Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data
  16. ICLR 2024Deep Orthogonal Hypersphere Compression for Anomaly Detection
  17. ICLR 2024Deep Temporal Graph Clustering
  18. ICLR 2024Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
  19. ICLR 2024Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
  20. ICLR 2024Distinguished In Uniform: Self-Attention Vs. Virtual Nodes
  21. ICLR 2024Diving Segmentation Model into Pixels
  22. ICLR 2024Do Generated Data Always Help Contrastive Learning?
  23. ICLR 2024Does CLIP’s generalization performance mainly stem from high train-test similarity?
  24. ICLR 2024Dual-Encoders for Extreme Multi-label Classification
  25. ICLR 2024Early Stopping Against Label Noise Without Validation Data
  26. ICLR 2024Effective pruning of web-scale datasets based on complexity of concept clusters
  27. ICLR 2024Efficient Score Matching with Deep Equilibrium Layers
  28. ICLR 2024Enabling Lanuguage Models to Implicitly Learn Self-Improvement
  29. ICLR 2024Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
  30. ICLR 2024Exploring Target Representations for Masked Autoencoders
  31. ICLR 2024Fast Hyperboloid Decision Tree Algorithms
  32. ICLR 2024Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
  33. ICLR 2024Feature-aligned N-BEATS with Sinkhorn divergence
  34. ICLR 2024FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
  35. ICLR 2024Finite Scalar Quantization: VQ-VAE Made Simple
  36. ICLR 2024Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
  37. ICLR 2024Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
  38. ICLR 2024From Sparse to Soft Mixtures of Experts
  39. ICLR 2024Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
  40. ICLR 2024Generating Pragmatic Examples to Train Neural Program Synthesizers
  41. ICLR 2024GraphPulse: Topological representations for temporal graph property prediction
  42. ICLR 2024Grounded Object-Centric Learning
  43. ICLR 2024Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram
  44. ICLR 2024How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
  45. ICLR 2024How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
  46. ICLR 2024Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
  47. ICLR 2024HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
  48. ICLR 2024Hypergraph Dynamic System
  49. ICLR 2024iGraphMix: Input Graph Mixup Method for Node Classification
  50. ICLR 2024Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models

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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？

AI 会调用的工具：get_topic_stats {"topic": "dl-self-supervised-learning"}

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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。

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