深度学习 · transfer learning论文趋势 2023–2026

主要结论

• 深度学习 · transfer learning论文从 2023 年的 56 篇降到 2026 年的 54 篇，热度在回落。
• NeurIPS 是发深度学习 · transfer learning论文最多的会议，2023–2026 年共 71 篇，占四个会议总量的 36%。
• 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 2 篇增至 2026 年的 5 篇。
• 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 11；同组增长最快的扩散模型是 4.1 倍，深度学习 · transfer learning是 1.0 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 2026Emergent Misalignment as Data-Mediated Transfer
• ICML 2026Transfer Learning in High-dimensional Ising Models
• ICLR 2026TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
• CVPR 2026Unlocking Positive Transfer in Incrementally Learning Surgical Instruments A Self-reflection
• NeurIPS 2025Asymmetric Duos: Sidekicks Improve Uncertainty
• ICML 2025An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer
• ICLR 2025GraphBridge: Towards Arbitrary Transfer Learning in GNNs
• CVPR 2025A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
• NeurIPS 2024Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported
• ICML 2024Adversarially Robust Hypothesis Transfer Learning
• ICLR 2024Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
• CVPR 2024Geometry Transfer for Stylizing Radiance Fields
• NeurIPS 2023Diffused Redundancy in Pre-trained Representations
• ICML 2023Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability
• ICLR 2023Transfer Learning with Deep Tabular Models
• CVPR 2023A Data-Based Perspective on Transfer Learning
• NeurIPS 2026Learning Rate Transfer for Hybrid Transformer-SSM Architectures
• ICML 2026Transfer Learning in Nonparametric Regression with Deep ReLU Networks
• ICLR 2026Detect, Decide, Unlearn: A Transfer-Aware Framework for Continual Learning
• CVPR 2026Nonlinear Color Transfer via Learnable Bezier Flows

全部深度学习 · transfer learning论文

共 33 篇，第 1 / 1 页

1. ICLR 2026Delay Flow Matching
2. ICLR 2026Detect, Decide, Unlearn: A Transfer-Aware Framework for Continual Learning
3. ICLR 2026Masked Skill Token Training for Hierarchical Off-Dynamics Transfer
4. ICLR 2026On Optimal Hyperparameters for Differentially Private Deep Transfer Learning
5. ICLR 2026Residual Feature Integration is Sufficient to Prevent Negative Transfer
6. ICLR 2026TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
7. ICLR 2026Transfer Learning in Infinite Width Feature Learning Networks
8. ICLR 2026Understanding the Mechanisms of Fast Hyperparameter Transfer
9. ICLR 2026Weight Decay may matter more than µP for Learning Rate Transfer in Practice
10. ICLR 2025A Transfer Attack to Image Watermarks
11. ICLR 2025A transfer learning framework for weak to strong generalization
12. ICLR 2025GraphBridge: Towards Arbitrary Transfer Learning in GNNs
13. ICLR 2025Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models
14. ICLR 2025Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
15. ICLR 2025Query-based Knowledge Transfer for Heterogeneous Learning Environments
16. ICLR 2025Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer
17. ICLR 2025Semantix: An Energy-guided Sampler for Semantic Style Transfer
18. ICLR 2025The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
19. ICLR 2024Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
20. ICLR 2024Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
21. ICLR 2024Principled Architecture-aware Scaling of Hyperparameters
22. ICLR 2024Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
23. ICLR 2024Tight Rates in Supervised Outlier Transfer Learning
24. ICLR 2024Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
25. ICLR 2023Decompose to Generalize: Species-Generalized Animal Pose Estimation
26. ICLR 2023Is Forgetting Less a Good Inductive Bias for Forward Transfer?
27. ICLR 2023Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
28. ICLR 2023Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning
29. ICLR 2023Provable Sim-to-real Transfer in Continuous Domain with Partial Observations
30. ICLR 2023Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings
31. ICLR 2023Teacher Guided Training: An Efficient Framework for Knowledge Transfer
32. ICLR 2023Transfer Learning with Deep Tabular Models
33. ICLR 2023Transfer NAS with Meta-learned Bayesian Surrogates

常见问题

2023–2026 年四大会议一共有多少篇深度学习 · transfer learning论文？

共 197 篇，按年份分别是 2023 年 56 篇、2024 年 44 篇、2025 年 43 篇、2026 年 54 篇。

NeurIPS 2026 有多少篇深度学习 · transfer learning论文？

NeurIPS 2026 有 18 篇深度学习 · transfer learning论文，上一届是 16 篇。

ICLR 2026 有多少篇深度学习 · transfer learning论文？

ICLR 2026 有 9 篇深度学习 · transfer learning论文，上一届是 9 篇。

ICML 2026 有多少篇深度学习 · transfer learning论文？

ICML 2026 有 13 篇深度学习 · transfer learning论文，上一届是 10 篇。

CVPR 2026 有多少篇深度学习 · transfer learning论文？

CVPR 2026 有 14 篇深度学习 · transfer learning论文，上一届是 8 篇。

哪个会议的深度学习 · transfer learning论文最多？

NeurIPS，2023–2026 年共 71 篇。