域适应论文趋势 2023–2026

主要结论

• 域适应论文从 2023 年的 174 篇增长到 2026 年的 263 篇，三年间扩大到约 1.5 倍。
• CVPR 是发域适应论文最多的会议，2023–2026 年共 268 篇，占四个会议总量的 31%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 7 篇增至 2026 年的 38 篇。
• 在「元学习与迁移」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的基础模型适配是 3.8 倍，域适应是 1.5 倍。

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

• NeurIPS 2026A Dual-Domain Vision Transformer with Spectral Positional Bias
• ICML 2026Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
• ICLR 2026Bayesian Evidence-Driven Prototype Evolution for Federated Domain Adaptation
• CVPR 2026Anatomical Domain Shifts Test-time Heterogeneous Adaptation for 3D Human Pose
• NeurIPS 20253DPE-Gaze:Unlocking the Potential of 3D Facial Priors for Generalized Gaze Estimation
• ICML 2025A General Representation-Based Approach to Multi-Source Domain Adaptation
• ICLR 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation
• CVPR 2025A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
• NeurIPS 2024A Cross-Domain Benchmark for Active Learning
• ICML 2024Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation
• ICLR 2024Adapting Large Language Models via Reading Comprehension
• CVPR 2024Day-Night Cross-domain Vehicle Re-identification
• NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
• ICML 2023In Search for a Generalizable Method for Source Free Domain Adaptation
• ICLR 2023Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
• CVPR 2023A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation
• NeurIPS 2026A unified pairwise distribution matching framework for graph domain adaptation under structure shift
• ICML 2026Content-Style Identification via Differential Independence
• ICLR 2026Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
• CVPR 2026Bridge Basis-Driven Causal Inference Marries VFMs for Domain Generalization

全部域适应论文

共 170 篇，第 1 / 4 页

1. ICML 2026AvAtar: Learning to Align via Active Optimal Transport
2. ICML 2026Bayesian Meta-Learning with Expert Feedback for Task-Shift Adaptation through Causal Embeddings
3. ICML 2026BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series
4. ICML 2026Breaking the Scale Barrier: One-Shot Knowledge Transfer via Frequency Transform
5. ICML 2026CELL: A Causal Perspective for Fairness-aware Graph Adaptation
6. ICML 2026COBRA: Contribution-Based Bayesian Rank Allocation for Parameter-Efficient Fine-Tuning
7. ICML 2026Content-Style Identification via Differential Independence
8. ICML 2026DADP: Domain Adaptive Diffusion Policy
9. ICML 2026Diffract: Spectral View of LLM Domain Adaptation
10. ICML 2026Discretized Density-Guided Source-Free Domain Adaptation for Regression
11. ICML 2026Domain Adaptation with Adaptive $f$-Divergence: Tighter Variational Representation and Generalization Bounds
12. ICML 2026Domain Adaptive Object Detection via Dynamic Causal Refinement
13. ICML 2026Domain Transfer Becomes Identifiable via a Single Alignment
14. ICML 2026Domain-Shift-Aware Conformal Prediction for Large Language Models
15. ICML 2026DomED: Redesigning Ensemble Distillation for Domain Generalization
16. ICML 2026Energy-Structured Low-Rank Adaptation for Continual Learning
17. ICML 2026Entangled No More: Multi-Domain Decoupling for Robust Dynamic Graph Neural Networks
18. ICML 2026Estimating Continuous Treatment Effects with Two-Stage Kernel Ridge Regression
19. ICML 2026Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference
20. ICML 2026Federated Manifold Learning (FML): Tackling Domain Heterogeneity with Structural Knowledge Transfer
21. ICML 2026FiSeR: Fine-Grained Source Representations for Cross-Domain AI Image Detection
22. ICML 2026Geometric Rate–Distortion Invariance for Domain Generalization
23. ICML 2026GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks
24. ICML 2026GR-LoRA: Gradient-Recycling Low-Rank Adaptation for Class-Incremental Learning
25. ICML 2026Hedging on the Frontier: Learning New Tasks with Few Samples
26. ICML 2026HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
27. ICML 2026Identifying dependent components from multi-domain linear mixtures
28. ICML 2026Improving CLIP Adaptation by Breaking Tail Alignment for Source-Free Cross-Domain Few-Shot Learning
29. ICML 2026Incorporating Importance Weighting in Optimal Transport Based Domain Alignment
30. ICML 2026Learning the ESG Geometry with Domain Aware Language Models
31. ICML 2026LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
32. ICML 2026MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
33. ICML 2026Mining Useful General Data for Low-Resource Domain Adaptation
34. ICML 2026Negatives-Dominant Contrastive Learning for Generalization in Imbalanced Domains
35. ICML 2026OnePO: Direct One-stage Policy Optimization for SFT-free Domain Adaptation
36. ICML 2026Parameter-Masked Decoupled Optimization for Cross-Domain Class-Incremental Learning
37. ICML 2026Progressive Graph Structure Adjustment for Homophily Shift Adaptation
38. ICML 2026Prototype-Based Test-Time Adaptation of Vision-Language Models
39. ICML 2026Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation
40. ICML 2026Quantifying Cross-Domain Knowledge Distillation in the Presence of Domain Shift
41. ICML 2026Regularized Discriminative Alignment for Deep Representations under Label Shift
42. ICML 2026Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach
43. ICML 2026Rethinking the Flow-based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective
44. ICML 2026Return of Frustratingly Easy Unsupervised Video Domain Adaptation
45. ICML 2026Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation
46. ICML 2026RoCA: Robust Cross-Domain End-to-End Autonomous Driving
47. ICML 2026SaTeen: Learning Structural Alignment for Continual Test-Time Adaptation
48. ICML 2026Scale-Aware Domain Harmonization for Domain Adaptation Person Search
49. ICML 2026Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
50. ICML 2026SCoA: Revisiting Domain Generalized Object Detection with Style-Conditioned Adaptation

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。