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 9051–9100 of 10307 papers

TitleStatusHype
Generative Image Translation for Data Augmentation of Bone Lesion Pathology—0
Fine-Grained Temporal Relation Extraction—0
Embodied Multimodal Multitask Learning—0
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence—0
Parameter-Efficient Transfer Learning for NLPCode1
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text ClassificationCode0
Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications—0
Detection of Alzheimers Disease from MRI using Convolutional Neural Networks, Exploring Transfer Learning And BellCNN—0
CoCoNet: A Collaborative Convolutional Network—0
Generalization of feature embeddings transferred from different video anomaly detection domains—0
ADMM-SOFTMAX : An ADMM Approach for Multinomial Logistic RegressionCode0
Evaluation of Transfer Learning for Classification of: (1) Diabetic Retinopathy by Digital Fundus Photography and (2) Diabetic Macular Edema, Choroidal Neovascularization and Drusen by Optical Coherence Tomography—0
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional NetworksCode0
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data—0
Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural NetworksCode0
Federated Deep Reinforcement Learning—0
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal PredictionCode0
Transfer-Learning Oriented Class Imbalance Learning for Cross-Project Defect Prediction—0
Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning—0
Programmable Neural Network Trojan for Pre-Trained Feature Extractor—0
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks—0
Towards Compact ConvNets via Structure-Sparsity Regularized Filter PruningCode0
TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational AgentsCode2
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text—0
Transfer Learning for Image-Based Malware ClassificationCode0
Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract]—0
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems—0
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry—0
Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails—0
Truly Generalizable Radiograph Segmentation with Conditional Domain AdaptationCode0
Transfer Learning for Prosthetics Using Imitation LearningCode0
Exploring Transfer Learning for Low Resource Emotional TTSCode1
Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data—0
Disease Knowledge Transfer across Neurodegenerative DiseasesCode0
Automatic detection of passable roads after floods in remote sensed and social media data—0
Estimating Buildings' Parameters over Time Including Prior KnowledgeCode0
Low-Cost Transfer Learning of Face TasksCode0
Transfer Representation Learning with TSK Fuzzy System—0
Supervised Transfer Learning for Product Information Question Answering—0
Multi-Source Transfer Learning for Non-Stationary EnvironmentsCode0
Vector representations of text data in deep learning—0
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation LearningCode2
Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks—0
Reliable and Explainable Machine Learning Methods for Accelerated Material Discovery—0
Content-Based Brain Tumor Retrieval for MR Images Using Transfer Learning—0
Semantic Segmentation on Remotely Sensed Images Using an Enhanced Global Convolutional Network with Channel Attention and Domain Specific Transfer Learning—0
Weightless Neural Network with Transfer Learning to Detect Distress in Asphalt—0
Transfer learning from language models to image caption generators: Better models may not transfer betterCode0
An introduction to domain adaptation and transfer learning—0
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications—0
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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