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 8151–8200 of 10307 papers

TitleStatusHype
A Supervised Machine Learning Model For Imputing Missing Boarding Stops In Smart Card Data—0
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey—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
Generalizable semi-supervised learning method to estimate mass from sparsely annotated images—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
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors—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
Discover Your Social Identity from What You Tweet: a Content Based Approach—0
Transfer Learning for Context-Aware Spoken Language Understanding—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
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift—0
An Audio-Based Fault Diagnosis Method for Quadrotors Using Convolutional Neural Network and Transfer Learning—0
Inferring the source of official texts: can SVM beat ULMFiT?Code0
DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry—0
Two-Level Attention-based Fusion Learning for RGB-D Face RecognitionCode0
Modelling the Neuroanatomical Progression of Alzheimer's Disease and Posterior Cortical Atrophy—0
The Utility of Feature Reuse: Transfer Learning in Data-Starved RegimesCode0
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning—0
LEEP: A New Measure to Evaluate Transferability of Learned Representations—0
Adapted tree boosting for Transfer Learning—0
A Free-Energy Principle for Representation Learning—0
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic EnvironmentsCode0
Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras—0
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance NormalizationCode0
Towards Learning a Universal Non-Semantic Representation of SpeechCode0
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization—0
Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning—0
How Transferable are the Representations Learned by Deep Q Agents?—0
Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks—0
Knowledge Transfer between Buildings for Seismic Damage Diagnosis through Adversarial Learning—0
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes—0
oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions—0
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models—0
Efficient Deep Reinforcement Learning via Adaptive Policy TransferCode0
A Systematic Comparison of Architectures for Document-Level Sentiment ClassificationCode0
CNN-based approach for glaucoma diagnosis using transfer learning and LBP-based data augmentation—0
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN—0
Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths—0
SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection—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