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 3401–3410 of 10307 papers

TitleStatusHype
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space—0
Deepfake Video Forensics based on Transfer Learning—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks—0
Efficient Transfer Learning for Quality Estimation with Bottleneck Adapter Layer—0
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products—0
Deepfake Detection of Face Images based on a Convolutional Neural Network—0
Efficient Transfer Learning in Diffusion Models via Adversarial Noise—0
Efficient Transfer Learning Schemes for Personalized Language Modeling using Recurrent Neural Network—0
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models—0
Show:102550
← PrevPage 341 of 1031Next →
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