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 45 篇,第 1 / 1 页
- ICLR 2025A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
- ICLR 2025Adaptive Energy Alignment for Accelerating Test-Time Adaptation
- ICLR 2025Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval-Augmented Generation
- ICLR 2025Binary Losses for Density Ratio Estimation
- ICLR 2025Chunk-Distilled Language Modeling
- ICLR 2025Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint
- ICLR 2025DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
- ICLR 2025Decoupled Finetuning for Domain Generalizable Semantic Segmentation
- ICLR 2025Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration
- ICLR 2025Do Deep Neural Network Solutions Form a Star Domain?
- ICLR 2025Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model
- ICLR 2025DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
- ICLR 2025Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
- ICLR 2025Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
- ICLR 2025Federated Domain Generalization with Data-free On-server Matching Gradient
- ICLR 2025FreDF: Learning to Forecast in the Frequency Domain
- ICLR 2025HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models
- ICLR 2025Is Large-scale Pretraining the Secret to Good Domain Generalization?
- ICLR 2025Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
- ICLR 2025LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
- ICLR 2025LoRA-X: Bridging Foundation Models with Training-Free Cross-Model Adaptation
- ICLR 2025Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
- ICLR 2025Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment
- ICLR 2025On the Benefits of Attribute-Driven Graph Domain Adaptation
- ICLR 2025On the Performance Analysis of Momentum Method: A Frequency Domain Perspective
- ICLR 2025OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees
- ICLR 2025Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios
- ICLR 2025PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
- ICLR 2025pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation
- ICLR 2025Proxy Denoising for Source-Free Domain Adaptation
- ICLR 2025RaSA: Rank-Sharing Low-Rank Adaptation
- ICLR 2025RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
- ICLR 2025Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control
- ICLR 2025SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
- ICLR 2025Selective Aggregation for Low-Rank Adaptation in Federated Learning
- ICLR 2025Selective Label Enhancement Learning for Test-Time Adaptation
- ICLR 2025Selective Unlearning via Representation Erasure Using Domain Adversarial Training
- ICLR 2025Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises
- ICLR 2025STAMP: Scalable Task- And Model-agnostic Collaborative Perception
- ICLR 2025Task-Adaptive Pretrained Language Models via Clustered-Importance Sampling
- ICLR 2025Test-time Adaptation for Cross-modal Retrieval with Query Shift
- ICLR 2025Test-time Adaptation for Image Compression with Distribution Regularization
- ICLR 2025Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation
- ICLR 2025Towards Domain Adaptive Neural Contextual Bandits
- ICLR 2025Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
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。