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 2601–2610 of 10307 papers

TitleStatusHype
Detecting Bias in Transfer Learning Approaches for Text Classification—0
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning—0
Bayesian Experience Reuse for Learning from Multiple Demonstrators—0
Bayesian Discovery of Multiple Bayesian Networks via Transfer Learning—0
An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning—0
Bayesian adaptive learning to latent variables via Variational Bayes and Maximum a Posteriori—0
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation—0
An Automated Deep Learning Approach for Bacterial Image Classification—0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection—0
An Audio-Video Deep and Transfer Learning Framework for Multimodal Emotion Recognition in the wild—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