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 166 篇，第 1 / 4 页

1. ICLR 2026Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models
2. ICLR 2026Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation
3. ICLR 2026Adaptive Domain Shift in Diffusion Models for Cross-Modality Image Translation
4. ICLR 2026Adaptive Test-Time Training for Predicting Need for Invasive Mechanical Ventilation in Multi-Center Cohorts
5. ICLR 2026Architecture-Agnostic Test-Time Adaptation via Backprop-Free Embedding Alignment
6. ICLR 2026Bayesian Evidence-Driven Prototype Evolution for Federated Domain Adaptation
7. ICLR 2026Beyond In-Domain Detection: SpikeScore for Cross-Domain Hallucination Detection
8. ICLR 2026CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detections
9. ICLR 2026CoMem: Compositional Concept-Graph Memory for Vision–Language Adaptation
10. ICLR 2026Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing
11. ICLR 2026Cross-Domain Policy Optimization via Bellman Consistency and Hybrid Critics
12. ICLR 2026DADA: Dual Averaging with Distance Adaptation
13. ICLR 2026Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation
14. ICLR 2026Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts
15. ICLR 2026Elastic Optimal Transport: Theory, Application, and Empirical Evaluation
16. ICLR 2026Exploring Mode Connectivity in Krylov Subspace for Domain Generalization
17. ICLR 2026FlexLoRA: Entropy-Guided Flexible Low-Rank Adaptation
18. ICLR 2026GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings
19. ICLR 2026GOOD: Geometry-guided Out-of-Distribution Modeling for Open-set Test-time Adaptation in Point Cloud Semantic Segmentation
20. ICLR 2026HEEGNet: Hyperbolic Embeddings for EEG
21. ICLR 2026HSIC Bottleneck for Cross-Generator and Domain-Incremental Synthetic Image Detection
22. ICLR 2026Latent Adaptation of Foundation Policies for Sim-to-Real Transfer
23. ICLR 2026LDT: Layer-Decomposition Training Makes Networks More Generalizable
24. ICLR 2026Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
25. ICLR 2026Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
26. ICLR 2026LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
27. ICLR 2026LoFT: Low-Rank Adaptation That Behaves Like Full Fine-Tuning
28. ICLR 2026Merge before Forget: A Single LoRA Continual Learning via Continual Merging
29. ICLR 2026Minimax-Optimal Aggregation for Density Ratio Estimation
30. ICLR 2026MOBODY: Model-Based Off-Dynamics Offline Reinforcement Learning
31. ICLR 2026MoSA: Mosaic Shared Adaptation of Large Language Models
32. ICLR 2026NEO — No-Optimization Test-Time Adaptation through Latent Re-Centering
33. ICLR 2026PARD: Accelerating LLM Inference with Low‑Cost PARallel Draft Model Adaptation
34. ICLR 2026PAS: Estimating the target accuracy before domain adaptation
35. ICLR 2026Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method
36. ICLR 2026Prior-free Tabular Test-time Adaptation
37. ICLR 2026Reasoning-Driven Multimodal LLM for Domain Generalization
38. ICLR 2026S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
39. ICLR 2026SAE as a Crystal Ball: Interpretable Features Predict Cross-domain Transferability of LLMs without Training
40. ICLR 2026SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation
41. ICLR 2026Test-Time Adaptation without Source Data for Out-of-Domain Bioactivity Prediction
42. ICLR 2026TRAC: Tensor-Train based Across-layer Compression for Parameter-Efficient Fine-Tuning
43. ICLR 2026TRIDENT: Cross-Domain Trajectory Spatio-Temporal Representation via Distance-Preserving Triplet Learning
44. ICLR 2026Unlearning during Training: Domain-Specific Gradient Ascent for Domain Generalization
45. ICLR 2026VeriTrail: Closed-Domain Hallucination Detection with Traceability
46. ICLR 2026XIL: Cross-Expanding Incremental Learning
47. ICLR 2025A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
48. ICLR 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation
49. ICLR 2025Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
50. ICLR 2025Binary Losses for Density Ratio Estimation

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。