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 1851–1900 of 10307 papers

TitleStatusHype
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification—0
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust FusionCode0
Hierarchical Adaptive Expert for Multimodal Sentiment Analysis—0
Exploring Cultural Nuances in Emotion Perception Across 15 African Languages—0
Untangling the Influence of Typology, Data and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging—0
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer LearningCode0
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning—0
k-NN as a Simple and Effective Estimator of Transferability—0
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics—0
PAD: Towards Efficient Data Generation for Transfer Learning Using Phrase Alignment—0
Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish—0
Enhancing Dataset Distillation via Non-Critical Region RefinementCode0
PNN: A Novel Progressive Neural Network for Fault Classification in Rotating Machinery under Small Dataset Constraint—0
Pitch Contour Exploration Across Audio Domains: A Vision-Based Transfer Learning Approach—0
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters—0
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation—0
Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction—0
Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles—0
Adaptive Physics-informed Neural Networks: A Survey—0
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach—0
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization—0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction—0
Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification—0
Efficient Deployment of Deep MIMO Detection Using Learngene—0
Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation—0
Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation—0
Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization—0
Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach—0
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation—0
UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report GenerationCode0
Sequential learning based PINNs to overcome temporal domain complexities in unsteady flow past flapping wings—0
ELTEX: A Framework for Domain-Driven Synthetic Data GenerationCode0
Entity-aware Cross-lingual Claim Detection for Automated Fact-checkingCode0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
Boosting HDR Image Reconstruction via Semantic Knowledge Transfer—0
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis—0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks—0
Cross-Environment Transfer Learning for Location-Aided Beam Prediction in 5G and Beyond Millimeter-Wave Networks—0
Multi-task Learning for Identification of Porcelain in Song and Yuan Dynasties—0
SCJD: Sparse Correlation and Joint Distillation for Efficient 3D Human Pose EstimationCode0
LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data GenerationCode0
Uncertainty-Aware Knowledge Distillation for Compact and Efficient 6DoF Pose Estimation—0
An Optimization Framework for Differentially Private Sparse Fine-Tuning—0
Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach—0
Edit Transfer: Learning Image Editing via Vision In-Context Relations—0
Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven OptimizationCode0
Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models—0
Realized Volatility Forecasting for New Issues and Spin-Offs using Multi-Source Transfer Learning—0
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems—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