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
- 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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 36 | 35 | 16 | 87 | 174 |
| 2024 | 67 | 40 | 37 | 65 | 209 |
| 2025 | 81 | 45 | 48 | 46 | 220 |
| 2026 | 78 | 46 | 69 | 70 | 263 |
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 69 篇，第 2 / 2 页
- ICML 2026Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
- ICML 2026Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
- ICML 2026Sobolev Regularized Score Difference Estimation in Diffusion Models
- ICML 2026Spike Camera Autofocus via Frequency-Domain Spectral-Centroid Migration
- ICML 2026Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
- ICML 2026SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
- ICML 2026SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
- ICML 2026TiME: Test-Time Mixture-of-Experts Routing via Asymmetric CO-Optimal Transport for Continual Test-Time Adaptation
- ICML 2026Transport or Discard: Robust Unbalanced Optimal Transport for Cross-Domain Policy Adaptation
- ICML 2026Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
- ICML 2026U$^3$CF: Unbiased, Unconfounding, and Unified Causal Framework for Multi-Target Domain Adaptation
- ICML 2026Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
- ICML 2026Updating Parametric Knowledge with Context Distillation Retains Post-Training Capabilities
- ICML 2026Variational Adapter for Cross-modal Similarity Representation
- ICML 2026Variational Learning of Disentangled Representations
- ICML 2026Walrus: A Cross-domain Foundation Model for Continuum Dynamics
- ICML 2026What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
- ICML 2026When Do Graph Foundation Models Transfer? A Data-Centric Theory
- ICML 2026When More Data Doesn't Help: Limits of Adaptation in Multitask Learning
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"}
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。