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 8851–8900 of 10307 papers

TitleStatusHype
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learningCode0
Mapping of Land Use and Land Cover (LULC) using EuroSAT and Transfer LearningCode0
A Unified Framework for Domain Adaptation using Metric Learning on ManifoldsCode0
Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and RecognitionCode0
Generating Gameplay-Relevant Art Assets with Transfer LearningCode0
Knowledge Distillation with Deep SupervisionCode0
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social MediaCode0
An Information-Geometric Distance on the Space of TasksCode0
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning ModelsCode0
Deep Learning Models for Colloidal Nanocrystal SynthesisCode0
Source-Free Collaborative Domain Adaptation via Multi-Perspective Feature Enrichment for Functional MRI AnalysisCode0
Generating Thermal Human Faces for Physiological Assessment Using Thermal Sensor Auxiliary LabelsCode0
AugWard: Augmentation-Aware Representation Learning for Accurate Graph ClassificationCode0
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionCode0
Deep Learning MacroeconomicsCode0
Deep Learning for Identifying Iran's Cultural Heritage Buildings in Need of Conservation Using Image Classification and Grad-CAMCode0
Masked Autoencoders are Efficient Continual Federated LearnersCode0
Augmenting semantic lexicons using word embeddings and transfer learningCode0
Substrate Prediction for RiPP Biosynthetic Enzymes via Masked Language Modeling and Transfer LearningCode0
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer LearningCode0
Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingCode0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
Animal Detection in Man-made EnvironmentsCode0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
Optimizing Mario Adventures in a Constrained EnvironmentCode0
Deep Learning for Detecting Cyberbullying Across Multiple Social Media PlatformsCode0
The Performance of Transferability Metrics does not Translate to Medical TasksCode0
ANGOFA: Leveraging OFA Embedding Initialization and Synthetic Data for Angolan Language ModelCode0
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP ModelsCode0
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelCode0
Generative Transfer Learning: Covid-19 Classification with a few Chest X-ray ImagesCode0
Augmenting Knowledge Transfer across GraphsCode0
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few LabelsCode0
Deep learning for Chemometric and non-translational dataCode0
Self-supervised Transfer Learning for Instance Segmentation through Physical InteractionCode0
Deep Learning Classification of Lake ZooplanktonCode0
GenSF: Simultaneous Adaptation of Generative Pre-trained Models and Slot FillingCode0
GenTL: A General Transfer Learning Model for Building Thermal DynamicsCode0
fairseq S2T: Fast Speech-to-Text Modeling with fairseqCode0
Deep learning-based spatio-temporal fusion for high-fidelity ultra-high-speed x-ray radiographyCode0
Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine TranslationCode0
Augmenting Biomedical Named Entity Recognition with General-domain ResourcesCode0
Fair Generative Models via Transfer LearningCode0
OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement LearningCode0
AugFL: Augmenting Federated Learning with Pretrained ModelsCode0
E-Sort: Empowering End-to-end Neural Network for Multi-channel Spike Sorting with Transfer Learning and Fast Post-processingCode0
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer LearningCode0
Facilitating the sharing of electrophysiology data analysis results through in-depth provenance captureCode0
A Tulu Resource for Machine TranslationCode0
Orientation recognition and correction of Cardiac MRI with deep neural networkCode0
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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