SOTAVerified

Transfer Learning

Transfer Learning is a machine learning technique where a model trained on one task is re-purposed and fine-tuned for a related, but different task. The idea behind transfer learning is to leverage the knowledge learned from a pre-trained model to solve a new, but related problem. This can be useful in situations where there is limited data available to train a new model from scratch, or when the new task is similar enough to the original task that the pre-trained model can be adapted to the new problem with only minor modifications.

( Image credit: Subodh Malgonde )

Papers

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Showing 1651–1700 of 10307 papers

TitleStatusHype
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift—0
Reward-Aware Proto-Representations in Reinforcement Learning—0
Scalable and Interpretable Contextual Bandits: A Literature Review and Retail Offer Prototype—0
Mitigating Overfitting in Medical Imaging: Self-Supervised Pretraining vs. ImageNet Transfer Learning for Dermatological Diagnosis—0
End-to-End Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries—0
ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy—0
An Exploratory Approach Towards Investigating and Explaining Vision Transformer and Transfer Learning for Brain Disease Detection—0
Inter-Subject Variance Transfer Learning for EMG Pattern Classification Based on Bayesian Inference—0
Geometrically Regularized Transfer Learning with On-Manifold and Off-Manifold Perturbation—0
Reinforcement Twinning for Hybrid Control of Flapping-Wing Drones—0
SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation—0
An Approach Towards Identifying Bangladeshi Leaf Diseases through Transfer Learning and XAI—0
Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI—0
GAMA++: Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer—0
Transfer of Structural Knowledge from Synthetic LanguagesCode0
On the Generalization vs Fidelity Paradox in Knowledge DistillationCode0
FlowBERT: Prompt-tuned BERT for variable flow field prediction—0
Domain Adaptation of VLM for Soccer Video Understanding—0
Transfer Learning from Visual Speech Recognition to Mouthing Recognition in German Sign LanguageCode0
Dual Decomposition of Weights and Singular Value Low Rank Adaptation—0
LOD1 3D City Model from LiDAR: The Impact of Segmentation Accuracy on Quality of Urban 3D Modeling and Morphology ExtractionCode0
Contrastive Consolidation of Top-Down Modulations Achieves Sparsely Supervised Continual Learning—0
MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation TasksCode0
DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models—0
Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data—0
HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems ImmunityCode0
Towards A Generalist Code Embedding Model Based On Massive Data Synthesis—0
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition—0
Bi-level Unbalanced Optimal Transport for Partial Domain Adaptation—0
Understanding Cross-Lingual Inconsistency in Large Language Models—0
On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning—0
Adaptive Image Restoration for Video Surveillance: A Real-Time Approach—0
Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR—0
A Hybrid Quantum Classical Pipeline for X Ray Based Fracture Diagnosis—0
InnateCoder: Learning Programmatic Options with Foundation ModelsCode0
CLIP-aware Domain-Adaptive Super-Resolution—0
Efficient Federated Class-Incremental Learning of Pre-Trained Models via Task-agnostic Low-rank Residual Adaptation—0
Residual Feature Integration is Sufficient to Prevent Negative TransferCode0
FiGKD: Fine-Grained Knowledge Distillation via High-Frequency Detail Transfer—0
Relation-Aware Graph Foundation Model—0
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles—0
Towards Cultural Bridge by Bahnaric-Vietnamese Translation Using Transfer Learning of Sequence-To-Sequence Pre-training Language Model—0
Assessing the Performance of Analog Training for Transfer Learning—0
Privacy-Aware Lifelong LearningCode0
Programmable metasurfaces for future photonic artificial intelligence—0
Knowledge capture, adaptation and composition (KCAC): A framework for cross-task curriculum learning in robotic manipulation—0
Logos as a Well-Tempered Pre-train for Sign Language Recognition—0
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting—0
An AI-driven framework for the prediction of personalised health response to air pollution—0
Community-based Multi-Agent Reinforcement Learning with Transfer and Active Exploration—0
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All datasetsOffice-Home100 sleep nights of 8 caregiversBanglaLekha Isolated DatasetCOCO70KITTI Object Tracking Evaluation 2012Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2—Unverified
2DFA-ENTAccuracy69.2—Unverified
3DFA-SAFNAccuracy69.1—Unverified
4EasyTLAccuracy63.3—Unverified
5MEDAAccuracy60.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74—Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95—Unverified