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 8651–8700 of 10307 papers

TitleStatusHype
Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Task—0
WinoGrande: An Adversarial Winograd Schema Challenge at ScaleCode1
Zero-Shot Sign Language Recognition: Can Textual Data Uncover Sign Languages?—0
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications—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
Automatic detection of rare pathologies in fundus photographs using few-shot learning—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
An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series—0
Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural NetworksCode0
A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images—0
Self-Attentional Credit Assignment for Transfer in Reinforcement LearningCode0
Post-Earthquake Assessment of Buildings Using Deep Learning—0
Transfer Learning Across Simulated Robots With Different Sensors—0
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs—0
Low-Shot Classification: A Comparison of Classical and Deep Transfer Machine Learning Approaches—0
Cataloging Accreted Stars within Gaia DR2 using Deep Learning—0
Low-supervision urgency detection and transfer in short crisis messages—0
The iWildCam 2019 Challenge Dataset—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
Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue SystemsCode1
Aesthetic Attributes Assessment of ImagesCode0
Predicting engagement in online social networks: Challenges and opportunities—0
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges—0
LakhNES: Improving multi-instrumental music generation with cross-domain pre-trainingCode0
Automatic Mass Detection in Breast Using Deep Convolutional Neural Network and SVM Classifier—0
Transfer Learning from Audio-Visual Grounding to Speech Recognition—0
Multilingual Universal Sentence Encoder for Semantic Retrieval—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
Best Practices for Learning Domain-Specific Cross-Lingual Embeddings—0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Attentive Multi-Task Deep Reinforcement LearningCode0
A Methodology for Controlling the Emotional Expressiveness in Synthetic Speech -- a Deep Learning approach—0
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation StudyCode0
Transfer learning enhanced physics informed neural network for phase-field modeling of fracture—0
Sim2real transfer learning for 3D human pose estimation: motion to the rescue—0
Graph-based Knowledge Distillation by Multi-head Attention NetworkCode0
Measuring the Data Efficiency of Deep Learning Methods—0
Low-Rank Subspace Override for Unsupervised Domain AdaptationCode0
Rethinking Continual Learning for Autonomous Agents and Robots—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
Deep Transfer Learning For Whole-Brain fMRI Analyses—0
A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer LearningCode0
A Minimax Game for Instance based Selective Transfer Learning—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