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

每年论文数

各会议论文数

按年份和会议统计

域适应论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202336351687174
202467403765209
202581454846220
202678466970263

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

全部域适应论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 866 篇，第 4 / 18 页

  1. ICML 2026OnePO: Direct One-stage Policy Optimization for SFT-free Domain Adaptation
  2. ICML 2026Parameter-Masked Decoupled Optimization for Cross-Domain Class-Incremental Learning
  3. ICML 2026Progressive Graph Structure Adjustment for Homophily Shift Adaptation
  4. ICML 2026Prototype-Based Test-Time Adaptation of Vision-Language Models
  5. ICML 2026Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation
  6. ICML 2026Quantifying Cross-Domain Knowledge Distillation in the Presence of Domain Shift
  7. ICML 2026Regularized Discriminative Alignment for Deep Representations under Label Shift
  8. ICML 2026Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach
  9. ICML 2026Rethinking the Flow-based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective
  10. ICML 2026Return of Frustratingly Easy Unsupervised Video Domain Adaptation
  11. ICML 2026Robust Cross-Modal Retrieval via Generative Semantic Refinement and Exclusion-Guided Adaptation
  12. ICML 2026RoCA: Robust Cross-Domain End-to-End Autonomous Driving
  13. ICML 2026SaTeen: Learning Structural Alignment for Continual Test-Time Adaptation
  14. ICML 2026Scale-Aware Domain Harmonization for Domain Adaptation Person Search
  15. ICML 2026Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
  16. ICML 2026SCoA: Revisiting Domain Generalized Object Detection with Style-Conditioned Adaptation
  17. ICML 2026Semi-Supervised Noise Adaptation: Transferring Knowledge from Noise Domain
  18. ICML 2026Server-Proximal Aggregation for Federated Domain-Incremental Learning under Partial Participation: Task-Uniform Convergence and Backward Transfer
  19. ICML 2026Sobolev Regularized Score Difference Estimation in Diffusion Models
  20. ICML 2026Spike Camera Autofocus via Frequency-Domain Spectral-Centroid Migration
  21. ICML 2026Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
  22. ICML 2026SURGE: Surrogate Gradient Adaptation in Binary Neural Networks
  23. ICML 2026SyMerge: From Non-Interference to Synergistic Merging via Single-Layer Adaptation
  24. ICML 2026TiME: Test-Time Mixture-of-Experts Routing via Asymmetric CO-Optimal Transport for Continual Test-Time Adaptation
  25. ICML 2026Transport or Discard: Robust Unbalanced Optimal Transport for Cross-Domain Policy Adaptation
  26. ICML 2026Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation
  27. ICML 2026U$^3$CF: Unbiased, Unconfounding, and Unified Causal Framework for Multi-Target Domain Adaptation
  28. ICML 2026Unifying Value Alignment and Assignment in Cross-Domain Offline Reinforcement Learning with Heterogeneous Datasets
  29. ICML 2026Updating Parametric Knowledge with Context Distillation Retains Post-Training Capabilities
  30. ICML 2026Variational Adapter for Cross-modal Similarity Representation
  31. ICML 2026Variational Learning of Disentangled Representations
  32. ICML 2026Walrus: A Cross-domain Foundation Model for Continuum Dynamics
  33. ICML 2026What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
  34. ICML 2026When Do Graph Foundation Models Transfer? A Data-Centric Theory
  35. ICML 2026When More Data Doesn't Help: Limits of Adaptation in Multitask Learning
  36. NeurIPS 2026A Dual-Domain Vision Transformer with Spectral Positional Bias
  37. NeurIPS 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
  38. NeurIPS 2026A Theoretical Framework for Self-Play Theorem Proving Algorithms
  39. NeurIPS 2026A unified pairwise distribution matching framework for graph domain adaptation under structure shift
  40. NeurIPS 2026ADIS-Law: Unified Scaling Laws for Annealing-Phase Domain Injection in Large Language Models
  41. NeurIPS 2026Anchoring Physiological Invariance, Expanding Domain Plasticity: Prior-Stabilized Dynamic Adaptation for Continual rPPG Measurement
  42. NeurIPS 2026Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
  43. NeurIPS 2026AtlasULP: Domain-aware Universal Link Prediction via Relation Atlas
  44. NeurIPS 2026Better Language Models Require Better Domain-Specific Inductive Biases
  45. NeurIPS 2026Beyond Average Flatness: Domain-wise Flatness for Domain Generalization
  46. NeurIPS 2026Block-R1: Rethinking the Role of Block Size in Multi-domain Reinforcement Learning for Diffusion Large Language Models
  47. NeurIPS 2026Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time Adaptation
  48. NeurIPS 2026Bridging Sequence and Structure with Unified Domain Adaptation for Drug-Target Interaction Prediction
  49. NeurIPS 2026CENDRe: Concept Extraction with Natural Domain Representations
  50. NeurIPS 2026Class–Domain Discriminability Guided Representation Enhancement for Domain Generalization

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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"}

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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。

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