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

Showing 351400 of 10307 papers

TitleStatusHype
Exploring Cultural Nuances in Emotion Perception Across 15 African Languages0
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust FusionCode0
The Coralscapes Dataset: Semantic Scene Understanding in Coral ReefsCode1
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification0
Untangling the Influence of Typology, Data and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging0
Anomaly Detection Using Computer Vision: A Comparative Analysis of Class Distinction and Performance Metrics0
Pitch Contour Exploration Across Audio Domains: A Vision-Based Transfer Learning Approach0
Continual Reinforcement Learning for HVAC Systems Control: Integrating Hypernetworks and Transfer LearningCode0
Enhancing Dataset Distillation via Non-Critical Region RefinementCode0
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning0
k-NN as a Simple and Effective Estimator of Transferability0
PNN: A Novel Progressive Neural Network for Fault Classification in Rotating Machinery under Small Dataset Constraint0
PAD: Towards Efficient Data Generation for Transfer Learning Using Phrase Alignment0
Efficient Continual Adaptation of Pretrained Robotic Policy with Online Meta-Learned Adapters0
Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish0
FedSKD: Aggregation-free Model-heterogeneous Federated Learning using Multi-dimensional Similarity Knowledge Distillation0
Cross-Domain Underwater Image Enhancement Guided by No-Reference Image Quality Assessment: A Transfer Learning Approach0
Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles0
Adaptive Physics-informed Neural Networks: A Survey0
Adaptive Multi-Fidelity Reinforcement Learning for Variance Reduction in Engineering Design Optimization0
Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction0
Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction0
Efficient Deployment of Deep MIMO Detection Using Learngene0
Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation0
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation0
Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation0
UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report GenerationCode0
Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization0
Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent Approach0
PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions0
Boosting HDR Image Reconstruction via Semantic Knowledge Transfer0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection0
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis0
Entity-aware Cross-lingual Claim Detection for Automated Fact-checkingCode0
Sequential learning based PINNs to overcome temporal domain complexities in unsteady flow past flapping wings0
ELTEX: A Framework for Domain-Driven Synthetic Data GenerationCode0
Cross-Environment Transfer Learning for Location-Aided Beam Prediction in 5G and Beyond Millimeter-Wave Networks0
Multi-task Learning for Identification of Porcelain in Song and Yuan Dynasties0
SCJD: Sparse Correlation and Joint Distillation for Efficient 3D Human Pose EstimationCode0
LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data GenerationCode0
Island-Based Evolutionary Computation with Diverse Surrogates and Adaptive Knowledge Transfer for High-Dimensional Data-Driven OptimizationCode0
An Optimization Framework for Differentially Private Sparse Fine-Tuning0
Edit Transfer: Learning Image Editing via Vision In-Context Relations0
Uncertainty-Aware Knowledge Distillation for Compact and Efficient 6DoF Pose Estimation0
Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach0
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions DatasetCode1
Lifelong Reinforcement Learning with Similarity-Driven Weighting by Large Models0
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems0
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Benchmark Results

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