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
Transferability of Natural Language Inference to Biomedical Question AnsweringCode1
The University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task—0
Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning—0
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages—0
POSTECH Submission on Duolingo Shared Task—0
Automated Scoring of Clinical Expressive Language Evaluation Tasks—0
Multi-Task Supervised Pretraining for Neural Domain Adaptation—0
\#NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media—0
Multi-Cell Compositional LSTM for NER Domain Adaptation—0
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge—0
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?—0
Research on Task Discovery for Transfer Learning in Deep Neural Networks—0
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions—0
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks—0
DoQA - Accessing Domain-Specific FAQs via Conversational QA—0
Multi-Label and Multilingual News Framing Analysis—0
In Neural Machine Translation, What Does Transfer Learning Transfer?—0
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning—0
Low Resource Sequence Tagging using Sentence Reconstruction—0
Unsupervised Paraphasia Classification in Aphasic Speech—0
Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer—0
Terahertz Pulse Shaping Using Diffractive Surfaces—0
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition—0
Model-based Reinforcement Learning: A Survey—0
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution—0
EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearnerCode1
Primary Tumor Origin Classification of Lung Nodules in Spectral CT using Transfer LearningCode1
Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices—0
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities—0
Asymmetric metric learning for knowledge transferCode1
Improving neural network predictions of material properties with limited data using transfer learning—0
A shared neural encoding model for the prediction of subject-specific fMRI responseCode0
Leveraging Subword Embeddings for Multinational Address ParsingCode1
Robustifying Sequential Neural Processes—0
Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People—0
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image SegmentationCode1
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained EmbeddingsCode1
Transfer Learning via _1 Regularization—0
Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster—0
Between-Domain Instance Transition Via the Process of Gibbs Sampling in RBM—0
SOAC: The Soft Option Actor-Critic Architecture—0
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification—0
Backdoor Attacks Against Deep Learning Systems in the Physical World—0
Uncovering the Connections Between Adversarial Transferability and Knowledge TransferabilityCode1
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction—0
AReLU: Attention-based Rectified Linear UnitCode1
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—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