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 8701–8750 of 10307 papers

TitleStatusHype
On The Power of Curriculum Learning in Training Deep NetworksCode0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
SocialIQA: Commonsense Reasoning about Social InteractionsCode0
Free the Plural: Unrestricted Split-Antecedent Anaphora ResolutionCode0
ThanosNet: A Novel Trash Classification Method Using MetadataCode0
Few-shot classification in Named Entity Recognition TaskCode0
Addressee and Response Selection for Multilingual ConversationCode0
Few-shot calibration of low-cost air pollution (PM2.5) sensors using meta-learningCode0
Feudal Graph Reinforcement LearningCode0
Deep Transfer Learning for Static Malware ClassificationCode0
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning TechniquesCode0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
FedRef: Communication-Efficient Bayesian Fine Tuning with Reference ModelCode0
Self-Supervised Convolutional Audio Models are Flexible Acoustic Feature Learners: A Domain Specificity and Transfer-Learning StudyCode0
From Colors to Classes: Emergence of Concepts in Vision TransformersCode0
From English to Code-Switching: Transfer Learning with Strong Morphological CluesCode0
Deep Transfer Learning for Source Code ModelingCode0
AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and NobiinCode0
Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting MethodsCode0
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic EnvironmentsCode0
Soft Language Prompts for Language TransferCode0
Action Quality Assessment Across Multiple ActionsCode0
A Framework of Transfer Learning in Object Detection for Embedded SystemsCode0
Transferring Robustness for Graph Neural Network Against Poisoning AttacksCode0
Deep Transfer Learning for Multi-source Entity Linkage via Domain AdaptationCode0
Self-supervised Knowledge Distillation Using Singular Value DecompositionCode0
Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning MethodCode0
From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal ImagesCode0
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things ApplicationCode0
From Video Game to Real Robot: The Transfer between Action SpacesCode0
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain RecommendationCode0
Federated Machine Learning: Concept and ApplicationsCode0
LSTD: A Low-Shot Transfer Detector for Object DetectionCode0
Federated Domain Generalization via Prompt Learning and AggregationCode0
Deep Transfer Learning for Multiple Class Novelty DetectionCode0
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence MatchingCode0
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided DecodingCode0
Federated Continual Learning for Text Classification via Selective Inter-client TransferCode0
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition SystemsCode0
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image ClassificationCode0
Deep Transfer Learning for Automated Diagnosis of Skin Lesions from PhotographsCode0
FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural NetworksCode0
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformationsCode0
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO SystemsCode0
ANNA: Abstractive Text-to-Image Synthesis with Filtered News CaptionsCode0
Lung cancer detection from thoracic CT scans using an ensemble of deep learning modelsCode0
Federated Continual Graph LearningCode0
ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake ImagesCode0
Lung Nodule Classification using Deep Local-Global NetworksCode0
Deep Residual Network based Automatic Image Grading for Diabetic Macular EdemaCode0
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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