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 262 篇,第 3 / 6 页
- NeurIPS 2025EgoBridge: Domain Adaptation for Generalizable Imitation from Egocentric Human Data
- NeurIPS 2025Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World
- NeurIPS 2025FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models
- NeurIPS 2025Focus-Then-Reuse: Fast Adaptation in Visual Perturbation Environments
- NeurIPS 2025Gains: Fine-grained Federated Domain Adaptation in Open Set
- NeurIPS 2025GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation
- NeurIPS 2025Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
- NeurIPS 2025Generalized and Invariant Single-Neuron In-Vivo Activity Representation Learning
- NeurIPS 2025Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
- NeurIPS 2025GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
- NeurIPS 2025Graph Data Selection for Domain Adaptation: A Model-Free Approach
- NeurIPS 2025Graph–Smoothed Bayesian Black-Box Shift Estimator and Its Information Geometry
- NeurIPS 2025GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
- NeurIPS 2025How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
- NeurIPS 2025How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
- NeurIPS 2025Inductive Domain Transfer In Misspecified Simulation-Based Inference
- NeurIPS 2025Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
- NeurIPS 2025Learning a Cross-Modal Schrödinger Bridge for Visual Domain Generalization
- NeurIPS 2025Learning from positive and unlabeled examples -Finite size sample bounds
- NeurIPS 2025Learning Robust Spectral Dynamics for Temporal Domain Generalization
- NeurIPS 2025Learning Source-Free Domain Adaptation for Visible-Infrared Person Re-Identification
- NeurIPS 2025Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models
- NeurIPS 2025Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace
- NeurIPS 2025LoRA vs Full Fine-tuning: An Illusion of Equivalence
- NeurIPS 2025Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
- NeurIPS 2025OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain
- NeurIPS 2025OmniDraft: A cross-vocabulary, online adaptive drafter for on-device speculative decoding
- NeurIPS 2025One Prompt Fits All: Universal Graph Adaptation for Pretrained Models
- NeurIPS 2025PAID: Pairwise Angular-Invariant Decomposition for Continual Test-Time Adaptation
- NeurIPS 2025PANGEA: Projection-Based Augmentation with Non-Relevant General Data for Enhanced Domain Adaptation in LLMs
- NeurIPS 2025Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation
- NeurIPS 2025Principled Model Routing for Unknown Mixtures of Source Domains
- NeurIPS 2025ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains
- NeurIPS 2025Rethinking Entropy in Test-Time Adaptation: The Missing Piece from Energy Duality
- NeurIPS 2025Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation
- NeurIPS 2025RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models
- NeurIPS 2025RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains
- NeurIPS 2025RrED: Black-box Unsupervised Domain Adaptation via Rectifying-reasoning Errors of Diffusion
- NeurIPS 2025S-Crescendo: A Nested Transformer Weaving Framework for Scalable Nonlinear System in S-Domain Representation
- NeurIPS 2025Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation
- NeurIPS 2025SGCD: Stain-Guided CycleDiffusion for Unsupervised Domain Adaptation of Histopathology Image Classification
- NeurIPS 2025SNAP: Low-Latency Test-Time Adaptation with Sparse Updates
- NeurIPS 2025Spatiotemporal Consensus with Scene Prior for Unsupervised Domain Adaptive Person Search
- NeurIPS 2025Statistics Caching Test-Time Adaptation for Vision-Language Models
- NeurIPS 2025StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold
- NeurIPS 2025Synergy over Discrepancy: A Partition-Based Approach to Multi-Domain LLM Fine-Tuning
- NeurIPS 2025Synthetic-powered predictive inference
- NeurIPS 2025The Primacy of Magnitude in Low-Rank Adaptation
- NeurIPS 2025Towards foundational LiDAR world models with efficient latent flow matching
- NeurIPS 2025Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
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。