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 9701–9750 of 10307 papers

TitleStatusHype
End-to-end Text-to-speech for Low-resource Languages by Cross-Lingual Transfer Learning—0
End-to-end transfer learning for speaker-independent cross-language and cross-corpus speech emotion recognition—0
End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Pseudo Whisper Pre-training—0
Energy Clustering for Unsupervised Person Re-identification—0
Energy Consumption Reduction for UAV Trajectory Training : A Transfer Learning Approach—0
Energy Decay Network (EDeN)—0
Energy efficient distributed analytics at the edge of the network for IoT environments—0
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning—0
Energy Predictive Models with Limited Data using Transfer Learning—0
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods—0
Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks—0
English-Basque Statistical and Neural Machine Translation—0
Enhanced Behavioral Cloning Based self-driving Car Using Transfer Learning—0
Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment—0
Enhanced dynamic sign language recognition using slowfast networks—0
Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification—0
Enhanced Mortality Prediction In Patients With Subarachnoid Haemorrhage Using A Deep Learning Model Based On The Initial CT Scan—0
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning—0
Enhanced Q-Learning Approach to Finite-Time Reachability with Maximum Probability for Probabilistic Boolean Control Networks—0
Enhanced Transfer Learning for Autonomous Driving with Systematic Accident Simulation—0
Enhanced Transfer Learning Through Medical Imaging and Patient Demographic Data Fusion—0
Enhanced Transport Distance for Unsupervised Domain Adaptation—0
Enhance Visual Recognition under Adverse Conditions via Deep Networks—0
Enhancing Accuracy in Generative Models via Knowledge Transfer—0
Enhancing Action Recognition from Low-Quality Skeleton Data via Part-Level Knowledge Distillation—0
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training—0
Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis—0
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI—0
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation—0
Enhancing Clinical Information Extraction with Transferred Contextual Embeddings—0
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer—0
Enhancing Cocoa Pod Disease Classification via Transfer Learning and Ensemble Methods: Toward Robust Predictive Modeling—0
Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum—0
Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation—0
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge—0
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework—0
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models—0
Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction—0
Enhancing Entertainment Translation for Indian Languages using Adaptive Context, Style and LLMs—0
Enhancing Few-Shot Transfer Learning with Optimized Multi-Task Prompt Tuning through Modular Prompt Composition—0
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning—0
Enhancing Industrial Transfer Learning with Style Filter: Cost Reduction and Defect-Focus—0
Enhancing Instance-Level Image Classification with Set-Level Labels—0
Enhancing learning in spiking neural networks through neuronal heterogeneity and neuromodulatory signaling—0
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge—0
Enhancing Low Resource NER Using Assisting Language And Transfer Learning—0
Enhancing Machine Learning Potentials through Transfer Learning across Chemical Elements—0
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages—0
Enhancing Non-mass Breast Ultrasound Cancer Classification With Knowledge Transfer—0
Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology—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