Deep learning · transfer learning papers, 2023–2026
Deep learning area: transfer_learning
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 197 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 23 | 9 | 2 | 22 | 56 |
| 2024 | 14 | 6 | 12 | 12 | 44 |
| 2025 | 16 | 9 | 10 | 8 | 43 |
| 2026 | 18 | 9 | 13 | 14 | 54 |
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
56 papers, page 1 of 2
- CVPR 2026A Unified Framework for Knowledge Transfer in Bidirectional Model Scaling
- CVPR 2026Diffusion-Based Makeup Transfer with Facial Region-Aware Makeup Features
- CVPR 2026Experience Transfer for Multimodal LLM Agents in Minecraft Game
- CVPR 2026FlowMotion Training-Free Flow Guidance for Video Motion Transfer
- CVPR 2026Harmonic Canvas Inversion-Free Editing for Visually-Guided Music Style Transfer
- CVPR 2026Hearing the Room Through the Shape of the Drum Modal-Guided
- CVPR 2026Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual
- CVPR 2026MimiCAT Mimic with Correspondence-Aware Cascade-Transformer for Category-Free 3D Pose Transfer
- CVPR 2026Nonlinear Color Transfer via Learnable Bezier Flows
- CVPR 2026PhysIR-Splat Physically Consistent Thermal Infrared Radiative Transfer in 3D Gaussian
- CVPR 2026RegionRoute Regional Style Transfer with Diffusion Model
- CVPR 2026Rethinking Knowledge Transfer in Image Quality Assessment A Perceptual Preference
- CVPR 2026Unlocking Positive Transfer in Incrementally Learning Surgical Instruments A Self-reflection
- CVPR 2026WPT World-to-Policy Transfer via Online World Model Distillation
- CVPR 2025A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
- CVPR 2025Attention Distillation: A Unified Approach to Visual Characteristics Transfer
- CVPR 2025HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving
- CVPR 2025HSI: A Holistic Style Injector for Arbitrary Style Transfer
- CVPR 2025ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning
- CVPR 2025OmniStyle: Filtering High Quality Style Transfer Data at Scale
- CVPR 2025StyleSSP: Sampling StartPoint Enhancement for Training-free Diffusion-based Method for Style Transfer
- CVPR 2025Video Motion Transfer with Diffusion Transformers
- CVPR 2024Cinematic Behavior Transfer via NeRF-based Differentiable Filming
- CVPR 2024Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
- CVPR 2024Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
- CVPR 2024Geometry Transfer for Stylizing Radiance Fields
- CVPR 2024Initialization Matters for Adversarial Transfer Learning
- CVPR 2024Model Inversion Robustness: Can Transfer Learning Help?
- CVPR 2024NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
- CVPR 2024Robust Synthetic-to-Real Transfer for Stereo Matching
- CVPR 2024Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization
- CVPR 2024Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
- CVPR 2024Towards Robust 3D Pose Transfer with Adversarial Learning
- CVPR 2024Transfer CLIP for Generalizable Image Denoising
- CVPR 2023A Data-Based Perspective on Transfer Learning
- CVPR 2023BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
- CVPR 2023CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer
- CVPR 2023Class Attention Transfer Based Knowledge Distillation
- CVPR 2023DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
- CVPR 2023ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer
- CVPR 2023Few-Shot Semantic Image Synthesis With Class Affinity Transfer
- CVPR 2023Inversion-Based Style Transfer With Diffusion Models
- CVPR 2023JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields
- CVPR 2023Learning Dynamic Style Kernels for Artistic Style Transfer
- CVPR 2023Manipulating Transfer Learning for Property Inference
- CVPR 2023Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer
- CVPR 2023Neural Preset for Color Style Transfer
- CVPR 2023QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
- CVPR 2023Representation Learning for Visual Object Tracking by Masked Appearance Transfer
- CVPR 2023Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains
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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.
More in Deep Learning
- Diffusion Models 6,900
- Deep learning · generative models and autoencoders 4,314
- Deep learning · large language models 2,334
- Deep learning · self supervised learning 1,958
- Deep learning · graph neural networks 1,648
- Deep learning · optimization 953
- Deep learning · representation learning 802
- Deep learning · probabilistic methods 637
- Deep learning · foundation models 536
- Deep learning · causal inference 316