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 262 篇，第 1 / 6 页

1. NeurIPS 2026A Dual-Domain Vision Transformer with Spectral Positional Bias
2. NeurIPS 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
3. NeurIPS 2026A Theoretical Framework for Self-Play Theorem Proving Algorithms
4. NeurIPS 2026A unified pairwise distribution matching framework for graph domain adaptation under structure shift
5. NeurIPS 2026ADIS-Law: Unified Scaling Laws for Annealing-Phase Domain Injection in Large Language Models
6. NeurIPS 2026Anchoring Physiological Invariance, Expanding Domain Plasticity: Prior-Stabilized Dynamic Adaptation for Continual rPPG Measurement
7. NeurIPS 2026Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
8. NeurIPS 2026AtlasULP: Domain-aware Universal Link Prediction via Relation Atlas
9. NeurIPS 2026Better Language Models Require Better Domain-Specific Inductive Biases
10. NeurIPS 2026Beyond Average Flatness: Domain-wise Flatness for Domain Generalization
11. NeurIPS 2026Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models
12. NeurIPS 2026Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time Adaptation
13. NeurIPS 2026Bridging Sequence and Structure with Unified Domain Adaptation for Drug-Target Interaction Prediction
14. NeurIPS 2026CENDRe: Concept Extraction with Natural Domain Representations
15. NeurIPS 2026Class–Domain Discriminability Guided Representation Enhancement for Domain Generalization
16. NeurIPS 2026Combating Catastrophic Forgetting in Continual Domain Adaptation via Knowledge Recasting
17. NeurIPS 2026Communication-Efficient LLM Adaptation over Decentralized GPU Meshes
18. NeurIPS 2026Complementary Cache Guidance with Gradient Disentanglement for Continuous Test-Time Adaptation
19. NeurIPS 2026CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation
20. NeurIPS 2026Cross-Domain Knowledge Separation and Positive Transmission for Noisy Domain Incremental Learning
21. NeurIPS 2026Cross-Family Universality of Behavioral Axes via Anchor-Projected Representations
22. NeurIPS 2026CURE: Coupled User-Grouped Reinforcement Learning for Cross-Domain Recommendation with Non-Overlapping Users
23. NeurIPS 2026DARE: Dual-Level Adversarial Learning with Domain-Aware Regularization for Whole Slide Image Classification
24. NeurIPS 2026DETS: An Interval-Censored Evidential Sampling Framework for Cross-Domain Scientific Discovery
25. NeurIPS 2026DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation
26. NeurIPS 2026Distributionally Robust Domain Randomization with Learned Risk-Sensitive Dynamics Samplers
27. NeurIPS 2026DivMoE: Fine-Grained MoE Upcycling via Cross-Domain Expert Composition
28. NeurIPS 2026Does Cross-Panel Pretraining Transfer Under Marker Heterogeneity? A Large-Scale Empirical Study in Clinical Flow Cytometry
29. NeurIPS 2026Domain-Conditioned Class Imbalance: Why Global Class Balance Fails Across Domains
30. NeurIPS 2026Efficient Multi-Source Prompt Adaptation for Cross-Domain Open-Vocabulary Learning
31. NeurIPS 2026Efficient One-to-many Domain Translation via Diffusive Entropic Optimal Transport
32. NeurIPS 2026Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging
33. NeurIPS 2026Exploring Lifelong Adaptation: In-Context Reinforcement Learning in Non-Stationary Environments
34. NeurIPS 2026FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding
35. NeurIPS 2026From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
36. NeurIPS 2026Geometry over Density: Few-Shot Cross-Domain OOD Detection
37. NeurIPS 2026GIFT: Representation Geometry Matters for Single-Domain Generalized Object Detection
38. NeurIPS 2026HIFC-IQA: Train-Free Cross-Domain Image Quality Assessment via Dual-Process Cognition
39. NeurIPS 2026HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization
40. NeurIPS 2026How Finite-Rank Bottleneck Shape the Low-Rank Adaptation Landscape
41. NeurIPS 2026How Useful Is Cross-Domain Generalization for Training LLM Monitors?
42. NeurIPS 2026InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories
43. NeurIPS 2026Language-Induced Priors for Domain Adaptation
44. NeurIPS 2026LDD-RFM: Learnable Domain Decomposition for Random Feature Models via Variable Projection
45. NeurIPS 2026Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation
46. NeurIPS 2026Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
47. NeurIPS 2026Multimodal LLMs Outperform Pathology Foundation Models in Cross-Domain Histological Similarity
48. NeurIPS 2026NoTA: Normalized Tensor Adaptation for Parameter-Efficient Continual Learning
49. NeurIPS 2026On the Limits of Latent Reuse in Diffusion Models
50. NeurIPS 2026One Adapter For All: Towards Generalizable Many-To-One Domain Adaptation In Heterogeneous Collaborative Perception

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。