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
Transferring Knowledge from Discourse to Arguments: A Case Study with Scientific Abstracts—0
Few-Shot Meta-Denoising—0
Interior Object Detection and Color Harmonization—0
Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods—0
Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation—0
Zero-shot transfer for implicit discourse relation classificationCode0
Towards More Accurate Automatic Sleep Staging via Deep Transfer LearningCode0
Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets—0
Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks—0
Multi-task Self-Supervised Learning for Human Activity Detection—0
Learnable Parameter SimilarityCode0
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images—0
Semisupervised Adversarial Neural Networks for Cyber Security Transfer Learning—0
Gait recognition via deep learning of the center-of-pressure trajectory—0
Knowledge transfer in deep block-modular neural networks—0
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?—0
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task—0
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications—0
Automatic detection of rare pathologies in fundus photographs using few-shot learning—0
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare—0
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition—0
Latent Function Decomposition for Forecasting Li-ion Battery Cells Capacity: A Multi-Output Convolved Gaussian Process Approach—0
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs—0
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural NetworksCode0
Self-Attentional Credit Assignment for Transfer in Reinforcement LearningCode0
Post-Earthquake Assessment of Buildings Using Deep Learning—0
A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images—0
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series—0
Transfer Learning Across Simulated Robots With Different Sensors—0
Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches—0
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs—0
Low-supervision urgency detection and transfer in short crisis messages—0
The iWildCam 2019 Challenge Dataset—0
Cataloging Accreted Stars within Gaia DR2 using Deep Learning—0
Smile, Be Happy :) Emoji Embedding for Visual Sentiment Analysis—0
Cross-Lingual Transfer Learning for Question Answering—0
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera—0
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning—0
Predicting engagement in online social networks: Challenges and opportunities—0
Aesthetic Attributes Assessment of ImagesCode0
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges—0
LakhNES: Improving multi-instrumental music generation with cross-domain pre-trainingCode0
Multilingual Universal Sentence Encoder for Semantic Retrieval—0
Automatic Mass Detection in Breast Using Deep Convolutional Neural Network and SVM Classifier—0
Transfer Learning from Audio-Visual Grounding to Speech Recognition—0
Blending-target Domain Adaptation by Adversarial Meta-Adaptation NetworksCode0
A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data—0
Skin Lesion Analyser: An Efficient Seven-Way Multi-Class Skin Cancer Classification Using MobileNet—0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Best Practices for Learning Domain-Specific Cross-Lingual Embeddings—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