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 8351–8375 of 10307 papers

TitleStatusHype
Unsupervised Discriminative Learning of Sounds for Audio Event Classification—0
Unsupervised Domain Adaptation By Optimal Transportation Of Clusters Between Domains—0
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning—0
Unsupervised Domain Adaptation for Zero-Shot Learning—0
Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning—0
Unsupervised domain adaptation via double classifiers based on high confidence pseudo label—0
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain—0
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction—0
Unsupervised Inflection Generation Using Neural Language Modeling—0
Unsupervised Knowledge-Transfer for Learned Image Reconstruction—0
Unsupervised Learning of Sentence Representations Using Sequence Consistency—0
Robust Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models—0
Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters—0
Unsupervised Paraphasia Classification in Aphasic Speech—0
Unsupervised Paraphrasing with Pretrained Language Models—0
Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech—0
Unsupervised Person Re-identification via Multi-label Classification—0
Transfer Learning using Spectral Convolutional Autoencoders on Semi-Regular Surface MeshesCode0
Transfer Learning for Cross-dataset Isolated Sign Language Recognition in Under-Resourced DatasetsCode0
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News DocumentsCode0
Towards Optimal Patch Size in Vision Transformers for Tumor SegmentationCode0
Transfer learning for conflict and duplicate detection in software requirement pairsCode0
Spatial Transfer Learning for Estimating PM2.5 in Data-poor RegionsCode0
When & How to Transfer with Transfer LearningCode0
Transfer learning for chemically accurate interatomic neural network potentialsCode0
Show:102550
← PrevPage 335 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