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

71 papers, page 2 of 2

51. NeurIPS 2023Data-Centric Learning from Unlabeled Graphs with Diffusion Model
52. NeurIPS 2023Diffused Redundancy in Pre-trained Representations
53. NeurIPS 2023Does progress on ImageNet transfer to real-world datasets?
54. NeurIPS 2023Doubly Robust Augmented Transfer for Meta-Reinforcement Learning
55. NeurIPS 2023Easy Bayesian Transfer Learning with Informative Priors
56. NeurIPS 2023Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
57. NeurIPS 2023Fast Trainable Projection for Robust Fine-tuning
58. NeurIPS 2023ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
59. NeurIPS 2023Graph-Structured Gaussian Processes for Transferable Graph Learning
60. NeurIPS 2023Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
61. NeurIPS 2023LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer
62. NeurIPS 2023LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
63. NeurIPS 2023Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
64. NeurIPS 2023ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction
65. NeurIPS 2023Robust Knowledge Transfer in Tiered Reinforcement Learning
66. NeurIPS 2023Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning
67. NeurIPS 2023To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning
68. NeurIPS 2023Transfer Learning with Affine Model Transformation
69. NeurIPS 2023Transportability for Bandits with Data from Different Environments
70. NeurIPS 2023URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
71. NeurIPS 2023VPGTrans: Transfer Visual Prompt Generator across LLMs

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.