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 14 / 18 页

  1. NeurIPS 2024EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
  2. NeurIPS 2024Enhancing Domain Adaptation through Prompt Gradient Alignment
  3. NeurIPS 2024Federated Graph Learning for Cross-Domain Recommendation
  4. NeurIPS 2024Fine-Tuning is Fine, if Calibrated
  5. NeurIPS 2024Geodesic Optimization for Predictive Shift Adaptation on EEG data
  6. NeurIPS 2024Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
  7. NeurIPS 2024Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
  8. NeurIPS 2024Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
  9. NeurIPS 2024IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
  10. NeurIPS 2024L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
  11. NeurIPS 2024Label Noise: Ignorance Is Bliss
  12. NeurIPS 2024LaSCal: Label-Shift Calibration without target labels
  13. NeurIPS 2024Learning De-Biased Representations for Remote-Sensing Imagery
  14. NeurIPS 2024Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
  15. NeurIPS 2024Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
  16. NeurIPS 2024Mind the Gap Between Prototypes and Images in Cross-domain Finetuning
  17. NeurIPS 2024Nuclear Fusion Diamond Polishing Dataset
  18. NeurIPS 2024Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
  19. NeurIPS 2024On $f$-Divergence Principled Domain Adaptation: An Improved Framework
  20. NeurIPS 2024One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation
  21. NeurIPS 2024Partial Transportability for Domain Generalization
  22. NeurIPS 2024Persistent Test-time Adaptation in Recurring Testing Scenarios
  23. NeurIPS 2024Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
  24. NeurIPS 2024Reinforced Cross-Domain Knowledge Distillation on Time Series Data
  25. NeurIPS 2024Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
  26. NeurIPS 2024SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
  27. NeurIPS 2024Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
  28. NeurIPS 2024SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
  29. NeurIPS 2024Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation
  30. NeurIPS 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
  31. NeurIPS 2024Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
  32. NeurIPS 2024Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
  33. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
  34. NeurIPS 2024TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
  35. NeurIPS 2024Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
  36. NeurIPS 2024Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
  37. NeurIPS 2024Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
  38. NeurIPS 2024Towards Unsupervised Model Selection for Domain Adaptive Object Detection
  39. NeurIPS 2024UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
  40. NeurIPS 2024UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior
  41. NeurIPS 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
  42. NeurIPS 2024WATT: Weight Average Test Time Adaptation of CLIP
  43. CVPR 20232PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
  44. CVPR 2023A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
  45. CVPR 2023A Probabilistic Framework for Lifelong Test-Time Adaptation
  46. CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
  47. CVPR 2023ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization
  48. CVPR 2023AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection
  49. CVPR 2023AutoLabel: CLIP-Based Framework for Open-Set Video Domain Adaptation
  50. CVPR 2023Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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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