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 5 / 6 页

  1. NeurIPS 2024Nuclear Fusion Diamond Polishing Dataset
  2. NeurIPS 2024Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
  3. NeurIPS 2024On $f$-Divergence Principled Domain Adaptation: An Improved Framework
  4. NeurIPS 2024One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation
  5. NeurIPS 2024Partial Transportability for Domain Generalization
  6. NeurIPS 2024Persistent Test-time Adaptation in Recurring Testing Scenarios
  7. NeurIPS 2024Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach
  8. NeurIPS 2024Reinforced Cross-Domain Knowledge Distillation on Time Series Data
  9. NeurIPS 2024Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
  10. NeurIPS 2024SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain
  11. NeurIPS 2024Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
  12. NeurIPS 2024SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network
  13. NeurIPS 2024Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation
  14. NeurIPS 2024SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery
  15. NeurIPS 2024Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
  16. NeurIPS 2024Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs
  17. NeurIPS 2024Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment
  18. NeurIPS 2024TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
  19. NeurIPS 2024Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
  20. NeurIPS 2024Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
  21. NeurIPS 2024Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
  22. NeurIPS 2024Towards Unsupervised Model Selection for Domain Adaptive Object Detection
  23. NeurIPS 2024UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
  24. NeurIPS 2024UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior
  25. NeurIPS 2024Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection
  26. NeurIPS 2024WATT: Weight Average Test Time Adaptation of CLIP
  27. NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
  28. NeurIPS 2023Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
  29. NeurIPS 2023Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
  30. NeurIPS 2023Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
  31. NeurIPS 2023Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
  32. NeurIPS 2023Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
  33. NeurIPS 2023Convolution Monge Mapping Normalization for learning on sleep data
  34. NeurIPS 2023Convolutional Visual Prompt for Robust Visual Perception
  35. NeurIPS 2023Cross-Domain Policy Adaptation via Value-Guided Data Filtering
  36. NeurIPS 2023Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
  37. NeurIPS 2023Domain Re-Modulation for Few-Shot Generative Domain Adaptation
  38. NeurIPS 2023DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
  39. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
  40. NeurIPS 2023Equivariant Adaptation of Large Pretrained Models
  41. NeurIPS 2023Extremal Domain Translation with Neural Optimal Transport
  42. NeurIPS 2023Frequency Domain-Based Dataset Distillation
  43. NeurIPS 2023Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
  44. NeurIPS 2023Improving Language Plasticity via Pretraining with Active Forgetting
  45. NeurIPS 2023Learning Domain-Aware Detection Head with Prompt Tuning
  46. NeurIPS 2023Learning List-Level Domain-Invariant Representations for Ranking
  47. NeurIPS 2023Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search
  48. NeurIPS 2023MADG: Margin-based Adversarial Learning for Domain Generalization
  49. NeurIPS 2023Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
  50. NeurIPS 2023Minimum-Risk Recalibration of Classifiers

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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