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 13 / 18 页

  1. ICML 2024DOGE: Domain Reweighting with Generalization Estimation
  2. ICML 2024Domain Generalisation via Imprecise Learning
  3. ICML 2024Domain-wise Data Acquisition to Improve Performance under Distribution Shift
  4. ICML 2024DoRA: Weight-Decomposed Low-Rank Adaptation
  5. ICML 2024DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection
  6. ICML 2024Getting the most out of your tokenizer for pre-training and domain adaptation
  7. ICML 2024Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method
  8. ICML 2024Hyperbolic Active Learning for Semantic Segmentation under Domain Shift
  9. ICML 2024Incorporating probabilistic domain knowledge into deep multiple instance learning
  10. ICML 2024IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation
  11. ICML 2024Large Scale Dataset Distillation with Domain Shift
  12. ICML 2024Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
  13. ICML 2024LoRA+: Efficient Low Rank Adaptation of Large Models
  14. ICML 2024MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
  15. ICML 2024Pairwise Alignment Improves Graph Domain Adaptation
  16. ICML 2024Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
  17. ICML 2024Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
  18. ICML 2024Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
  19. ICML 2024RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
  20. ICML 2024Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
  21. ICML 2024SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors
  22. ICML 2024TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
  23. ICML 2024Test-Time Model Adaptation with Only Forward Passes
  24. ICML 2024Time Series Diffusion in the Frequency Domain
  25. ICML 2024Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images
  26. NeurIPS 2024A Bayesian Approach to Data Point Selection
  27. NeurIPS 2024A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
  28. NeurIPS 2024A Cross-Domain Benchmark for Active Learning
  29. NeurIPS 2024Adaptive Domain Learning for Cross-domain Image Denoising
  30. NeurIPS 2024Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
  31. NeurIPS 2024Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
  32. NeurIPS 2024Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
  33. NeurIPS 2024AUC Maximization under Positive Distribution Shift
  34. NeurIPS 2024Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
  35. NeurIPS 2024BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
  36. NeurIPS 2024Boosting Transferability and Discriminability for Time Series Domain Adaptation
  37. NeurIPS 2024Cloud Object Detector Adaptation by Integrating Different Source Knowledge
  38. NeurIPS 2024CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
  39. NeurIPS 2024Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
  40. NeurIPS 2024Continual Learning in the Frequency Domain
  41. NeurIPS 2024Continuous Temporal Domain Generalization
  42. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
  43. NeurIPS 2024Cross-modal Representation Flattening for Multi-modal Domain Generalization
  44. NeurIPS 2024D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
  45. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
  46. NeurIPS 2024DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
  47. NeurIPS 2024DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
  48. NeurIPS 2024DDK: Distilling Domain Knowledge for Efficient Large Language Models
  49. NeurIPS 2024DiffuBox: Refining 3D Object Detection with Point Diffusion
  50. NeurIPS 2024Domain Adaptation for Large-Vocabulary Object Detectors

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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