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 3751–3775 of 10307 papers

TitleStatusHype
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media—0
ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts—0
Automatically Score Tissue Images Like a Pathologist by Transfer Learning—0
Exploration in Knowledge Transfer Utilizing Reinforcement Learning—0
Exploration of Adapter for Noise Robust Automatic Speech Recognition—0
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology—0
Exploration of Various Deep Learning Models for Increased Accuracy in Automatic Polyp Detection—0
Explorative Curriculum Learning for Strongly Correlated Electron Systems—0
A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce—0
Automatically Predict Material Properties with Microscopic Image Example Polymer Compatibility—0
Exploring bat song syllable representations in self-supervised audio encoders—0
Exploring Benefits of Transfer Learning in Neural Machine Translation—0
Exploring Bottom-up and Top-down Cues with Attentive Learning for Webly Supervised Object Detection—0
Exploring CausalWorld: Enhancing robotic manipulation via knowledge transfer and curriculum learning—0
Exploring connections of spectral analysis and transfer learning in medical imaging—0
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation—0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition—0
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers—0
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets—0
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features—0
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning—0
Adaptive Transfer Learning in Deep Neural Networks: Wind Power Prediction using Knowledge Transfer from Region to Region and Between Different Task Domains—0
Deep 3D-Zoom Net: Unsupervised Learning of Photo-Realistic 3D-Zoom—0
Deep 3D Face Identification—0
Show:102550
← PrevPage 151 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