域适应论文趋势 2023–2026

跨域迁移

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 866 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

域适应论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202336351687174
202467403765209
202581454846220
202678466970263

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

全部域适应论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 866 篇，第 17 / 18 页

  1. ICLR 2023Interpretations of Domain Adaptations via Layer Variational Analysis
  2. ICLR 2023Learning Domain-Agnostic Representation for Disease Diagnosis
  3. ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
  4. ICLR 2023PGrad: Learning Principal Gradients For Domain Generalization
  5. ICLR 2023Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
  6. ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
  7. ICLR 2023SIMPLE: Specialized Model-Sample Matching for Domain Generalization
  8. ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
  9. ICLR 2023Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
  10. ICLR 2023Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
  11. ICLR 2023Test-Time Adaptation via Self-Training with Nearest Neighbor Information
  12. ICLR 2023TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
  13. ICLR 2023Using Language to Extend to Unseen Domains
  14. ICLR 2023When Source-Free Domain Adaptation Meets Learning with Noisy Labels
  15. ICML 2023Beyond In-Domain Scenarios: Robust Density-Aware Calibration
  16. ICML 2023Distribution Free Domain Generalization
  17. ICML 2023Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
  18. ICML 2023Domain Adaptation for Time Series Under Feature and Label Shifts
  19. ICML 2023Double-Weighting for Covariate Shift Adaptation
  20. ICML 2023Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
  21. ICML 2023In Search for a Generalizable Method for Source Free Domain Adaptation
  22. ICML 2023InfoOT: Information Maximizing Optimal Transport
  23. ICML 2023Leveraging Proxy of Training Data for Test-Time Adaptation
  24. ICML 2023Moderately Distributional Exploration for Domain Generalization
  25. ICML 2023On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
  26. ICML 2023RLSbench: Domain Adaptation Under Relaxed Label Shift
  27. ICML 2023Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
  28. ICML 2023Structural Re-weighting Improves Graph Domain Adaptation
  29. ICML 2023Target-Aware Generative Augmentations for Single-Shot Adaptation
  30. ICML 2023Taxonomy-Structured Domain Adaptation
  31. NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
  32. NeurIPS 2023Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
  33. NeurIPS 2023Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
  34. NeurIPS 2023Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
  35. NeurIPS 2023Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
  36. NeurIPS 2023Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
  37. NeurIPS 2023Convolution Monge Mapping Normalization for learning on sleep data
  38. NeurIPS 2023Convolutional Visual Prompt for Robust Visual Perception
  39. NeurIPS 2023Cross-Domain Policy Adaptation via Value-Guided Data Filtering
  40. NeurIPS 2023Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
  41. NeurIPS 2023Domain Re-Modulation for Few-Shot Generative Domain Adaptation
  42. NeurIPS 2023DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
  43. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
  44. NeurIPS 2023Equivariant Adaptation of Large Pretrained Models
  45. NeurIPS 2023Extremal Domain Translation with Neural Optimal Transport
  46. NeurIPS 2023Frequency Domain-Based Dataset Distillation
  47. NeurIPS 2023Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
  48. NeurIPS 2023Improving Language Plasticity via Pretraining with Active Forgetting
  49. NeurIPS 2023Learning Domain-Aware Detection Head with Prompt Tuning
  50. NeurIPS 2023Learning List-Level Domain-Invariant Representations for Ranking

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查域适应在 CVPR 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": "domain-adaptation"}

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常见问题

2023–2026 年四大会议一共有多少篇域适应论文？
共 866 篇，按年份分别是 2023 年 174 篇、2024 年 209 篇、2025 年 220 篇、2026 年 263 篇。
NeurIPS 2026 有多少篇域适应论文？
NeurIPS 2026 有 78 篇域适应论文，上一届是 81 篇。
ICLR 2026 有多少篇域适应论文？
ICLR 2026 有 46 篇域适应论文，上一届是 45 篇。
ICML 2026 有多少篇域适应论文？
ICML 2026 有 69 篇域适应论文，上一届是 48 篇。
CVPR 2026 有多少篇域适应论文？
CVPR 2026 有 70 篇域适应论文，上一届是 46 篇。
哪个会议的域适应论文最多？
CVPR，2023–2026 年共 268 篇。

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