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 7476–7500 of 10307 papers

TitleStatusHype
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis—0
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks—0
Med-Tuning: A New Parameter-Efficient Tuning Framework for Medical Volumetric Segmentation—0
A Named Entity Recognition Shootout for German—0
Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets—0
The Application of Deep Learning for Lymph Node Segmentation: A Systematic Review—0
MEG Decoding Across Subjects—0
Analyzing Urdu Social Media for Sentiments using Transfer Learning with Controlled Translations—0
Analyzing the Variations in Emergency Department Boarding and Testing the Transferability of Forecasting Models across COVID-19 Pandemic Waves in Hong Kong: Hybrid CNN-LSTM approach to quantifying building-level socioecological risk—0
SOAC: The Soft Option Actor-Critic Architecture—0
MelNet: A Real-Time Deep Learning Algorithm for Object Detection—0
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models—0
SoccerKDNet: A Knowledge Distillation Framework for Action Recognition in Soccer Videos—0
Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models—0
Memory Efficient Class-Incremental Learning for Image Classification—0
Memory-efficient Continual Learning with Neural Collapse Contrastive—0
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models—0
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model—0
Memory Oriented Transfer Learning for Semi-Supervised Image Deraining—0
MemoSYS at SemEval-2020 Task 8: Multimodal Emotion Analysis in Memes—0
Mental Illness Classification on Social Media Texts using Deep Learning and Transfer Learning—0
MENTOR: Human Perception-Guided Pretraining for Increased Generalization—0
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities—0
Merging Language and Domain Specific Models: The Impact on Technical Vocabulary Acquisition—0
Analyzing the Effect of Multi-task Learning for Biomedical Named Entity Recognition—0
Show:102550
← PrevPage 300 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