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 10 / 18 页

  1. NeurIPS 2025OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding
  2. NeurIPS 2025One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
  3. NeurIPS 2025PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation
  4. NeurIPS 2025PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
  5. NeurIPS 2025Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation
  6. NeurIPS 2025Principled Model Routing for Unknown Mixtures of Source Domains
  7. NeurIPS 2025ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains
  8. NeurIPS 2025Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality
  9. NeurIPS 2025Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation
  10. NeurIPS 2025RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models
  11. NeurIPS 2025RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains
  12. NeurIPS 2025RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion
  13. NeurIPS 2025S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
  14. NeurIPS 2025Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
  15. NeurIPS 2025SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
  16. NeurIPS 2025SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
  17. NeurIPS 2025Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search
  18. NeurIPS 2025Statistics Caching Test-Time Adaptation for Vision-Language Models
  19. NeurIPS 2025StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold
  20. NeurIPS 2025Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
  21. NeurIPS 2025Synthetic-powered predictive inference
  22. NeurIPS 2025The Primacy of Magnitude in Low-Rank Adaptation
  23. NeurIPS 2025Towards foundational LiDAR world models with efficient latent flow matching
  24. NeurIPS 2025Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
  25. NeurIPS 2025Towards Unsupervised Domain Bridging via Image Degradation in Semantic Segmentation
  26. NeurIPS 2025Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming
  27. NeurIPS 2025Training-Free Test-Time Adaptation via Shape and Style Guidance for Vision-Language Models
  28. NeurIPS 2025Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
  29. NeurIPS 2025Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding
  30. NeurIPS 2025UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring
  31. NeurIPS 2025Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching
  32. NeurIPS 2025Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
  33. NeurIPS 2025Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
  34. CVPR 2024A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
  35. CVPR 2024A2XP: Towards Private Domain Generalization
  36. CVPR 2024Active Domain Adaptation with False Negative Prediction for Object Detection
  37. CVPR 2024Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation
  38. CVPR 2024AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
  39. CVPR 2024APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
  40. CVPR 2024Backpropagation-free Network for 3D Test-time Adaptation
  41. CVPR 2024Boosting Diffusion Models with Moving Average Sampling in Frequency Domain
  42. CVPR 2024Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
  43. CVPR 2024Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
  44. CVPR 2024CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection
  45. CVPR 2024Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation
  46. CVPR 2024Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
  47. CVPR 2024Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining
  48. CVPR 2024D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection
  49. CVPR 2024Day-Night Cross-domain Vehicle Re-identification
  50. CVPR 2024DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors

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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