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 174 篇，第 3 / 4 页

101. ICLR 2023Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
102. ICLR 2023Energy-Based Test Sample Adaptation for Domain Generalization
103. ICLR 2023FedDAR: Federated Domain-Aware Representation Learning
104. ICLR 2023Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
105. ICLR 2023Few-Shot Domain Adaptation For End-to-End Communication
106. ICLR 2023Free Lunch for Domain Adversarial Training: Environment Label Smoothing
107. ICLR 2023Graph Domain Adaptation via Theory-Grounded Spectral Regularization
108. ICLR 2023Information-Theoretic Analysis of Unsupervised Domain Adaptation
109. ICLR 2023Interpretations of Domain Adaptations via Layer Variational Analysis
110. ICLR 2023Learning Domain-Agnostic Representation for Disease Diagnosis
111. ICLR 2023Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
112. ICLR 2023PGrad: Learning Principal Gradients For Domain Generalization
113. ICLR 2023Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer
114. ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
115. ICLR 2023SIMPLE: Specialized Model-Sample Matching for Domain Generalization
116. ICLR 2023Sparse Mixture-of-Experts are Domain Generalizable Learners
117. ICLR 2023Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
118. ICLR 2023Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
119. ICLR 2023Test-Time Adaptation via Self-Training with Nearest Neighbor Information
120. ICLR 2023TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
121. ICLR 2023Using Language to Extend to Unseen Domains
122. ICLR 2023When Source-Free Domain Adaptation Meets Learning with Noisy Labels
123. ICML 2023Beyond In-Domain Scenarios: Robust Density-Aware Calibration
124. ICML 2023Distribution Free Domain Generalization
125. ICML 2023Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
126. ICML 2023Domain Adaptation for Time Series Under Feature and Label Shifts
127. ICML 2023Double-Weighting for Covariate Shift Adaptation
128. ICML 2023Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
129. ICML 2023In Search for a Generalizable Method for Source Free Domain Adaptation
130. ICML 2023InfoOT: Information Maximizing Optimal Transport
131. ICML 2023Leveraging Proxy of Training Data for Test-Time Adaptation
132. ICML 2023Moderately Distributional Exploration for Domain Generalization
133. ICML 2023On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
134. ICML 2023RLSbench: Domain Adaptation Under Relaxed Label Shift
135. ICML 2023Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation
136. ICML 2023Structural Re-weighting Improves Graph Domain Adaptation
137. ICML 2023Target-Aware Generative Augmentations for Single-Shot Adaptation
138. ICML 2023Taxonomy-Structured Domain Adaptation
139. NeurIPS 2023(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
140. NeurIPS 2023Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation
141. NeurIPS 2023Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
142. NeurIPS 2023Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations
143. NeurIPS 2023Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs
144. NeurIPS 2023Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
145. NeurIPS 2023Convolution Monge Mapping Normalization for learning on sleep data
146. NeurIPS 2023Convolutional Visual Prompt for Robust Visual Perception
147. NeurIPS 2023Cross-Domain Policy Adaptation via Value-Guided Data Filtering
148. NeurIPS 2023Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
149. NeurIPS 2023Domain Re-Modulation for Few-Shot Generative Domain Adaptation
150. NeurIPS 2023DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

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。