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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8626–8650 of 10307 papers

TitleStatusHype
Multi-lingual Wikipedia Summarization and Title Generation On Low Resource Corpus—0
Energy Clustering for Unsupervised Person Re-identification—0
Detecting floodwater on roadways from image data with handcrafted features and deep transfer learningCode0
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment ClassificationCode0
TGG: Transferable Graph Generation for Zero-shot and Few-shot LearningCode0
Defeating Misclassification Attacks Against Transfer Learning—0
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning—0
Ellipsis Resolution as Question Answering: An EvaluationCode0
DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic LandslidesCode0
Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification—0
Analyzing Customer Feedback for Product Fit Prediction—0
Transfer Learning from Partial Annotations for Whole Brain Segmentation—0
Unsupervised Deep Feature Transfer for Low Resolution Image Classification—0
MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken ConversationsCode0
A Semantics-Guided Class Imbalance Learning Model for Zero-Shot Classification—0
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans—0
Improving Automatic Jazz Melody Generation by Transfer Learning TechniquesCode0
Urban flows prediction from spatial-temporal data using machine learning: A survey—0
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with HanjaCode0
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity RecognizersCode0
LEAP nets for power grid perturbationsCode0
Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning—0
Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs—0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation—0
Transferring Robustness for Graph Neural Network Against Poisoning AttacksCode0
Show:102550
← PrevPage 346 of 413Next →
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