Deep learning · transfer learning papers, 2023–2026

Key findings

• Deep learning · transfer learning fell from 56 papers in 2023 to 54 in 2026, so interest is cooling.
• NeurIPS publishes the most Deep learning · transfer learning work: 71 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 2 in 2023 to 5 in 2026.
• Among the 11 topics under Deep Learning, it ranks #11 by 2026 paper count; the fastest grower in the group, Diffusion Models, is up 4.1x versus 1.0x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Deep learning · transfer learning papers

197 papers, page 1 of 4

1. CVPR 2026A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
2. CVPR 2026Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features
3. CVPR 2026Experience Transfer for Multimodal LLM Agents in Minecraft Game
4. CVPR 2026FlowMotion Training-Free Flow Guidance for Video Motion Transfer
5. CVPR 2026Harmonic Canvas Inversion-Free Editing for Visually-Guided Music Style Transfer
6. CVPR 2026Hearing the Room Through the Shape of the Drum Modal-Guided
7. CVPR 2026Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual
8. CVPR 2026MimiCAT Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfer
9. CVPR 2026Nonlinear Color Transfer via Learnable Bezier Flows
10. CVPR 2026PhysIR-Splat Physically Consistent Thermal Infrared Radiative Transfer in 3D Gaussian
11. CVPR 2026RegionRoute Regional Style Transfer with Diffusion Model
12. CVPR 2026Rethinking Knowledge Transfer in Image Quality Assessment A Perceptual Preference
13. CVPR 2026Unlocking Positive Transfer in Incrementally Learning Surgical Instruments A Self-reflection
14. CVPR 2026WPT World-to-Policy Transfer via Online World Model Distillation
15. ICLR 2026Delay Flow Matching
16. ICLR 2026Detect, Decide, Unlearn: A Transfer-Aware Framework for Continual Learning
17. ICLR 2026Masked Skill Token Training for Hierarchical Off-Dynamics Transfer
18. ICLR 2026On Optimal Hyperparameters for Differentially Private Deep Transfer Learning
19. ICLR 2026Residual Feature Integration is Sufficient to Prevent Negative Transfer
20. ICLR 2026TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
21. ICLR 2026Transfer Learning in Infinite Width Feature Learning Networks
22. ICLR 2026Understanding the Mechanisms of Fast Hyperparameter Transfer
23. ICLR 2026Weight Decay may matter more than µP for Learning Rate Transfer in Practice
24. ICML 2026Conformal Calibration Transfer
25. ICML 2026Geometric Embedding Alignment via Curvature Matching in Transfer Learning
26. ICML 2026Hierarchical Successor Representation for Robust Transfer
27. ICML 2026Hyperparameter Transfer with Mixture-of-Expert Layers
28. ICML 2026Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge
29. ICML 2026Protein Language Model Embeddings Improve Generalization of Implicit Transfer Operators
30. ICML 2026SMAC: Score-Matched Actor-Critics for Robust Offline-to-Online Transfer
31. ICML 2026Stable Localized Conformal Prediction via Transduction
32. ICML 2026The Geometry of Sequential Learning: Lie-Bracket Prediction of Transfer Order
33. ICML 2026Train Once, Reuse Everywhere: Generalizable Implicit ICL by Routing Attention
34. ICML 2026Transfer Learning in High-dimensional Ising Models
35. ICML 2026Transfer Learning in Nonparametric Regression with Deep ReLU Networks
36. ICML 2026What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
37. NeurIPS 2026CLeaR: A Unified Framework for Resolving the Leakage–Degradation Dilemma in Style Transfer
38. NeurIPS 2026Counterfactual Debugging the World Model Transfer Gap
39. NeurIPS 2026Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill Reuse
40. NeurIPS 2026Emergent Misalignment as Data-Mediated Transfer
41. NeurIPS 2026Exploring MLLM-Diffusion Information Transfer with MetaCanvas
42. NeurIPS 2026Hyperparameter Transfer for Dense Associative Memories
43. NeurIPS 2026Information Parity for Code: The Scope of Transfer in Multilingual Code Models
44. NeurIPS 2026Learning Rate Transfer for Hybrid Transformer-SSM Architectures
45. NeurIPS 2026Learning Rate Transfer in Normalized Transformers
46. NeurIPS 2026Learning to Undo: Transfer Reinforcement Learning under State Space Transformations
47. NeurIPS 2026Model-Aware Tokenizer Transfer
48. NeurIPS 2026On the Effect of Token Correlations on Semantic Transfer in Transformers
49. NeurIPS 2026Phantom Transfer: Data Poisoning can Survive Data-Level Defences
50. NeurIPS 2026Shared Truth: Emergent Truth Properties in Large Language Models via Heterogeneous Injection-based Transfer

FAQ

How many Deep learning · transfer learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

197 in total: 56 in 2023, 44 in 2024, 43 in 2025, 54 in 2026.

How many Deep learning · transfer learning papers are at NeurIPS 2026?

NeurIPS 2026 has 18 Deep learning · transfer learning papers, versus 16 the year before.

How many Deep learning · transfer learning papers are at ICLR 2026?

ICLR 2026 has 9 Deep learning · transfer learning papers, versus 9 the year before.

How many Deep learning · transfer learning papers are at ICML 2026?

ICML 2026 has 13 Deep learning · transfer learning papers, versus 10 the year before.

How many Deep learning · transfer learning papers are at CVPR 2026?

CVPR 2026 has 14 Deep learning · transfer learning papers, versus 8 the year before.

Which conference publishes the most Deep learning · transfer learning papers?

NeurIPS, with 71 papers from 2023 to 2026.