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 5 / 18 页

  1. NeurIPS 2026Combating Catastrophic Forgetting in Continual Domain Adaptation via Knowledge Recasting
  2. NeurIPS 2026Communication-Efficient LLM Adaptation over Decentralized GPU Meshes
  3. NeurIPS 2026Complementary Cache Guidance with Gradient Disentanglement for Continuous Test-Time Adaptation
  4. NeurIPS 2026CORA: Per-Slice Coherent Orthogonal Rotation for SVD-based Low-Rank Adaptation
  5. NeurIPS 2026Cross-Domain Knowledge Separation and Positive Transmission for Noisy Domain Incremental Learning
  6. NeurIPS 2026Cross-Family Universality of Behavioral Axes via Anchor-Projected Representations
  7. NeurIPS 2026CURE: Coupled User-Grouped Reinforcement Learning for Cross-Domain Recommendation with Non-Overlapping Users
  8. NeurIPS 2026DARE: Dual-Level Adversarial Learning with Domain-Aware Regularization for Whole Slide Image Classification
  9. NeurIPS 2026DETS: An Interval-Censored Evidential Sampling Framework for Cross-Domain Scientific Discovery
  10. NeurIPS 2026DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation
  11. NeurIPS 2026Distributionally Robust Domain Randomization with Learned Risk-Sensitive Dynamics Samplers
  12. NeurIPS 2026DivMoE: Fine-Grained MoE Upcycling via Cross-Domain Expert Composition
  13. NeurIPS 2026Does Cross-Panel Pretraining Transfer Under Marker Heterogeneity? A Large-Scale Empirical Study in Clinical Flow Cytometry
  14. NeurIPS 2026Domain-Conditioned Class Imbalance: Why Global Class Balance Fails Across Domains
  15. NeurIPS 2026Efficient Multi-Source Prompt Adaptation for Cross-Domain Open-Vocabulary Learning
  16. NeurIPS 2026Efficient One-to-many Domain Translation via Diffusive Entropic Optimal Transport
  17. NeurIPS 2026Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging
  18. NeurIPS 2026Exploring Lifelong Adaptation: In-Context Reinforcement Learning in Non-Stationary Environments
  19. NeurIPS 2026FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding
  20. NeurIPS 2026From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills
  21. NeurIPS 2026Geometry over Density: Few-Shot Cross-Domain OOD Detection
  22. NeurIPS 2026GIFT: Representation Geometry Matters for Single-Domain Generalized Object Detection
  23. NeurIPS 2026HIFC-IQA: Train-Free Cross-Domain Image Quality Assessment via Dual-Process Cognition
  24. NeurIPS 2026HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization
  25. NeurIPS 2026How Finite-Rank Bottleneck Shape the Low-Rank Adaptation Landscape
  26. NeurIPS 2026How Useful Is Cross-Domain Generalization for Training LLM Monitors?
  27. NeurIPS 2026InduceKV: Fixed-Footprint Continual Adaptation of Multimodal LLMs via Inducing KV Memories
  28. NeurIPS 2026Language-Induced Priors for Domain Adaptation
  29. NeurIPS 2026LDD-RFM: Learnable Domain Decomposition for Random Feature Models via Variable Projection
  30. NeurIPS 2026Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation
  31. NeurIPS 2026Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
  32. NeurIPS 2026Multimodal LLMs Outperform Pathology Foundation Models in Cross-Domain Histological Similarity
  33. NeurIPS 2026NoTA: Normalized Tensor Adaptation for Parameter-Efficient Continual Learning
  34. NeurIPS 2026On the Limits of Latent Reuse in Diffusion Models
  35. NeurIPS 2026One Adapter For All: Towards Generalizable Many-To-One Domain Adaptation In Heterogeneous Collaborative Perception
  36. NeurIPS 2026One for All: A Non-Linear Transformer can enable Cross-Domain Generalization for In-Context Reinforcement Learning
  37. NeurIPS 2026Partially Performative Prediction
  38. NeurIPS 2026Phantom Transfer: Data Poisoning can Survive Data-Level Defences
  39. NeurIPS 2026PRISM: Priority-Guided Scanning in the Wavelet Domain for UAV Maritime Small Object Detection
  40. NeurIPS 2026Prompt-Conditioned Semantic Bottleneck for Cross-Domain Face Attack Detection
  41. NeurIPS 2026Query as a Resource: Activity-Cost Guided Remote Sensing Domain-Incremental Object Detection
  42. NeurIPS 2026Random-Effects Centroids for Domain Generalization
  43. NeurIPS 2026Relative Energy Barriers for Copyright-Aware Language Model Adaptation
  44. NeurIPS 2026RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting
  45. NeurIPS 2026Safeguarding Mutual Correction in Source-Free Domain Adaptation via Cut Statistics
  46. NeurIPS 2026SaMA: Morpho Adaptation via Asymmetric Expansion of Kronecker Product
  47. NeurIPS 2026Semantic Freedom Bottleneck for Domain-Generalized Multimodal Face Anti-Spoofing
  48. NeurIPS 2026SGD Provably Prioritizes a Shortcut Spurious Feature in the XOR Model
  49. NeurIPS 2026Skipping Domain Shifts: Domain Memory Retention Enhanced Hyperspectral Single-Source Domain Generalization
  50. NeurIPS 2026Slide P2V-Bench: A Cross-Domain Benchmark for Slide-Centric Scientific Paper-to-Presentation Video Generation

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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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