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 36 篇，第 1 / 1 页

1. NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
2. NeurIPS 2023Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
3. NeurIPS 2023Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
4. NeurIPS 2023Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
5. NeurIPS 2023Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
6. NeurIPS 2023Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
7. NeurIPS 2023Convolution Monge Mapping Normalization for learning on sleep data
8. NeurIPS 2023Convolutional Visual Prompt for Robust Visual Perception
9. NeurIPS 2023Cross-Domain Policy Adaptation via Value-Guided Data Filtering
10. NeurIPS 2023Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
11. NeurIPS 2023Domain Re-Modulation for Few-Shot Generative Domain Adaptation
12. NeurIPS 2023DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
13. NeurIPS 2023Eliminating Domain Bias for Federated Learning in Representation Space
14. NeurIPS 2023Equivariant Adaptation of Large Pretrained Models
15. NeurIPS 2023Extremal Domain Translation with Neural Optimal Transport
16. NeurIPS 2023Frequency Domain-Based Dataset Distillation
17. NeurIPS 2023Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
18. NeurIPS 2023Improving Language Plasticity via Pretraining with Active Forgetting
19. NeurIPS 2023Learning Domain-Aware Detection Head with Prompt Tuning
20. NeurIPS 2023Learning List-Level Domain-Invariant Representations for Ranking
21. NeurIPS 2023Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search
22. NeurIPS 2023MADG: Margin-based Adversarial Learning for Domain Generalization
23. NeurIPS 2023Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
24. NeurIPS 2023Minimum-Risk Recalibration of Classifiers
25. NeurIPS 2023Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
26. NeurIPS 2023Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation
27. NeurIPS 2023Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation
28. NeurIPS 2023Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
29. NeurIPS 2023ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction
30. NeurIPS 2023SPA: A Graph Spectral Alignment Perspective for Domain Adaptation
31. NeurIPS 2023Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
32. NeurIPS 2023Subspace Identification for Multi-Source Domain Adaptation
33. NeurIPS 2023Synthetic-to-Real Pose Estimation with Geometric Reconstruction
34. NeurIPS 2023Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval
35. NeurIPS 2023Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
36. NeurIPS 2023When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation

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。