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 8151–8175 of 10307 papers

TitleStatusHype
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey—0
A Supervised Machine Learning Model For Imputing Missing Boarding Stops In Smart Card Data—0
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay—0
Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian ResponseCode0
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis—0
Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation—0
SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature ExtractionCode0
Automatic Recognition of the General-Purpose Communicative Functions defined by the ISO 24617-2 Standard for Dialog Act Annotation—0
Demographic Bias in Presentation Attack Detection of Iris Recognition Systems—0
Transfer Learning for Information Extraction with Limited Data—0
Traffic Signs Detection and Recognition System using Deep Learning—0
Plant Disease Detection from Images—0
Guided Generative Adversarial Neural Network for Representation Learning and High Fidelity Audio Generation using Fewer Labelled Audio Data—0
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images—0
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors—0
Discover Your Social Identity from What You Tweet: a Content Based Approach—0
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts—0
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification—0
Trained Model Fusion for Object Detection using Gating Network—0
Watch and learn -- a generalized approach for transferrable learning in deep neural networks via physical principlesCode0
Transfer Learning for Context-Aware Spoken Language Understanding—0
Inferring the source of official texts: can SVM beat ULMFiT?Code0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift—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