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 262 篇，第 4 / 6 页

  1. NeurIPS 2025Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
  2. NeurIPS 2025Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
  3. NeurIPS 2025Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models
  4. NeurIPS 2025Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
  5. NeurIPS 2025Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding
  6. NeurIPS 2025UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring
  7. NeurIPS 2025Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching
  8. NeurIPS 2025Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
  9. NeurIPS 2025Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
  10. NeurIPS 2024A Bayesian Approach to Data Point Selection
  11. NeurIPS 2024A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
  12. NeurIPS 2024A Cross-Domain Benchmark for Active Learning
  13. NeurIPS 2024Adaptive Domain Learning for Cross-domain Image Denoising
  14. NeurIPS 2024Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models
  15. NeurIPS 2024Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology
  16. NeurIPS 2024Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
  17. NeurIPS 2024AUC Maximization under Positive Distribution Shift
  18. NeurIPS 2024Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
  19. NeurIPS 2024BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping
  20. NeurIPS 2024Boosting Transferability and Discriminability for Time Series Domain Adaptation
  21. NeurIPS 2024Cloud Object Detector Adaptation by Integrating Different Source Knowledge
  22. NeurIPS 2024CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
  23. NeurIPS 2024Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
  24. NeurIPS 2024Continual Learning in the Frequency Domain
  25. NeurIPS 2024Continuous Temporal Domain Generalization
  26. NeurIPS 2024Cross-Device Collaborative Test-Time Adaptation
  27. NeurIPS 2024Cross-modal Representation Flattening for Multi-modal Domain Generalization
  28. NeurIPS 2024D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
  29. NeurIPS 2024DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
  30. NeurIPS 2024DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
  31. NeurIPS 2024DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain
  32. NeurIPS 2024DDK: Distilling Domain Knowledge for Efficient Large Language Models
  33. NeurIPS 2024DiffuBox: Refining 3D Object Detection with Point Diffusion
  34. NeurIPS 2024Domain Adaptation for Large-Vocabulary Object Detectors
  35. NeurIPS 2024EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
  36. NeurIPS 2024Enhancing Domain Adaptation through Prompt Gradient Alignment
  37. NeurIPS 2024Federated Graph Learning for Cross-Domain Recommendation
  38. NeurIPS 2024Fine-Tuning is Fine, if Calibrated
  39. NeurIPS 2024Geodesic Optimization for Predictive Shift Adaptation on EEG data
  40. NeurIPS 2024Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization
  41. NeurIPS 2024Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching
  42. NeurIPS 2024Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
  43. NeurIPS 2024IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution
  44. NeurIPS 2024L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer
  45. NeurIPS 2024Label Noise: Ignorance Is Bliss
  46. NeurIPS 2024LaSCal: Label-Shift Calibration without target labels
  47. NeurIPS 2024Learning De-Biased Representations for Remote-Sensing Imagery
  48. NeurIPS 2024Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
  49. NeurIPS 2024Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning
  50. NeurIPS 2024Mind the Gap Between Prototypes and Images in Cross-domain Finetuning

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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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