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 7551–7600 of 10307 papers

TitleStatusHype
ADARES: Adaptive Resource Management for Virtual Machines—0
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning—0
A Data Augmented Approach to Transfer Learning for Covid-19 Detection—0
A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks—0
A Data-Driven Approach to Improve 3D Head-Pose Estimation—0
A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments—0
A Dataset for Sanskrit Word Segmentation—0
A Dataset of Offensive Language in Kosovo Social Media—0
AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression—0
AdaVocoder: Adaptive Vocoder for Custom Voice—0
Ada-VSR: Adaptive Video Super-Resolution with Meta-Learning—0
Adding more data does not always help: A study in medical conversation summarization with PEGASUS—0
Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification—0
Additional Positive Enables Better Representation Learning for Medical Images—0
Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering—0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection—0
Addressing Data Scarcity in Optical Matrix Multiplier Modeling Using Transfer Learning—0
Addressing Dynamic and Sparse Qualitative Data: A Hilbert Space Embedding of Categorical Variables—0
Addressing materials' microstructure diversity using transfer learning—0
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages—0
A decision framework for selecting information-transfer strategies in population-based SHM—0
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images—0
A deep convolutional neural network for classification of Aedes albopictus mosquitoes—0
A Deeper Look at 3D Shape Classifiers—0
A Deep Generative Framework for Joint Households and Individuals Population Synthesis—0
A Deep Learning and Knowledge Transfer Based Architecture for Social Media User Characteristic Determination—0
A Deep Learning Approach for Diabetic Retinopathy detection using Transfer Learning—0
A Deep Learning Approach for Network-wide Dynamic Traffic Prediction during Hurricane Evacuation—0
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data—0
A Deep Learning Architectures for Kidney Disease Classification—0
A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images—0
A Deep Learning-Based GPR Forward Solver for Predicting B-Scans of Subsurface Objects—0
A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation—0
A Deep Learning Framework for Lifelong Machine Learning—0
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors—0
A Deep Learning Perspective on the Origin of Facial Expressions—0
A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning—0
A Deep Learning Study on Osteosarcoma Detection from Histological Images—0
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis—0
A Deep Q-Network for the Beer Game: A Deep Reinforcement Learning algorithm to Solve Inventory Optimization Problems—0
A Deep Reinforcement Learning Approach for Audio-based Navigation and Audio Source Localization in Multi-speaker Environments—0
A Deep Transfer Learning-based Edge Computing Method for Home Health Monitoring—0
A Deep Transfer Learning Method for Cross-Lingual Natural Language Inference—0
A Deep Value-network Based Approach for Multi-Driver Order Dispatching—0
A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods—0
A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring—0
Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning—0
A Distributed Reinforcement Learning Solution With Knowledge Transfer Capability for A Bike Rebalancing Problem—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