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 263 篇，第 3 / 6 页

  1. ICLR 2026MoSA: Mosaic Shared Adaptation of Large Language Models
  2. ICLR 2026NEO — No-Optimization Test-Time Adaptation through Latent Re-Centering
  3. ICLR 2026PARD: Accelerating LLM Inference with Low‑Cost PARallel Draft Model Adaptation
  4. ICLR 2026PAS: Estimating the target accuracy before domain adaptation
  5. ICLR 2026Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method
  6. ICLR 2026Prior-free Tabular Test-time Adaptation
  7. ICLR 2026Reasoning-Driven Multimodal LLM for Domain Generalization
  8. ICLR 2026S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
  9. ICLR 2026SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without Training
  10. ICLR 2026SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation
  11. ICLR 2026Test-Time Adaptation without Source Data for Out-of-Domain Bioactivity Prediction
  12. ICLR 2026TRAC: Tensor-Train based Across-layer Compression for Parameter-Efficient Fine-Tuning
  13. ICLR 2026TRIDENT: Cross-Domain Trajectory Spatio-Temporal Representation via Distance-Preserving Triplet Learning
  14. ICLR 2026Unlearning during Training: Domain-Specific Gradient Ascent for Domain Generalization
  15. ICLR 2026VeriTrail: Closed-Domain Hallucination Detection with Traceability
  16. ICLR 2026XIL: Cross-Expanding Incremental Learning
  17. ICML 2026AvAtar: Learning to Align via Active Optimal Transport
  18. ICML 2026Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
  19. ICML 2026BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
  20. ICML 2026Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transform
  21. ICML 2026CELL: A Causal Perspective for Fairness-aware Graph Adaptation
  22. ICML 2026COBRA: Contribution-Based Bayesian Rank Allocation for Parameter-Efficient Fine-Tuning
  23. ICML 2026Content-Style Identification via Differential Independence
  24. ICML 2026DADP: Domain Adaptive Diffusion Policy
  25. ICML 2026Diffract: Spectral View of LLM Domain Adaptation
  26. ICML 2026Discretized Density-Guided Source-Free Domain Adaptation for Regression
  27. ICML 2026Domain Adaptation with Adaptive $f$-Divergence: Tighter Variational Representation and Generalization Bounds
  28. ICML 2026Domain Adaptive Object Detection via Dynamic Causal Refinement
  29. ICML 2026Domain Transfer Becomes Identifiable via a Single Alignment
  30. ICML 2026Domain-Shift-Aware Conformal Prediction for Large Language Models
  31. ICML 2026DomED: Redesigning Ensemble Distillation for Domain Generalization
  32. ICML 2026Energy-Structured Low-Rank Adaptation for Continual Learning
  33. ICML 2026Entangled No More: Multi-Domain Decoupling for Robust Dynamic Graph Neural Networks
  34. ICML 2026Estimating Continuous Treatment Effects with Two-Stage Kernel Ridge Regression
  35. ICML 2026Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference
  36. ICML 2026Federated Manifold Learning (FML): Tackling Domain Heterogeneity with Structural Knowledge Transfer
  37. ICML 2026FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection
  38. ICML 2026Geometric Rate–Distortion Invariance for Domain Generalization
  39. ICML 2026GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
  40. ICML 2026GR-LoRA: Gradient-Recycling Low-Rank Adaptation for Class-Incremental Learning
  41. ICML 2026Hedging on the Frontier: Learning New Tasks with Few Samples
  42. ICML 2026HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
  43. ICML 2026Identifying dependent components from multi-domain linear mixtures
  44. ICML 2026Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
  45. ICML 2026Incorporating Importance Weighting in Optimal Transport Based Domain Alignment
  46. ICML 2026Learning the ESG Geometry with Domain Aware Language Models
  47. ICML 2026LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
  48. ICML 2026MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
  49. ICML 2026Mining Useful General Data for Low-Resource Domain Adaptation
  50. ICML 2026Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains

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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