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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7801–7850 of 10307 papers

TitleStatusHype
Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer—0
Predicting the Difficulty and Response Time of Multiple Choice Questions Using Transfer Learning—0
\#NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media—0
Research on Task Discovery for Transfer Learning in Deep Neural Networks—0
Multi-Label and Multilingual News Framing Analysis—0
Handling Variable-Dimensional Time Series with Graph Neural Networks—0
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal DistributionsCode0
Enabling Low-Resource Transfer Learning across COVID-19 Corpora by Combining Event-Extraction and Co-Training—0
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages—0
Automated Scoring of Clinical Expressive Language Evaluation Tasks—0
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions—0
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?—0
POSTECH Submission on Duolingo Shared Task—0
DoQA - Accessing Domain-Specific FAQs via Conversational QA—0
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks—0
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning—0
Multi-Task Supervised Pretraining for Neural Domain Adaptation—0
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge—0
Low Resource Sequence Tagging using Sentence Reconstruction—0
Multi-Cell Compositional LSTM for NER Domain Adaptation—0
Multi-Action Dialog Policy Learning with Interactive Human Teaching—0
Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction—0
The University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task—0
Unsupervised Paraphasia Classification in Aphasic Speech—0
TRANSFER :- DEEP INDUCTIVE NETWORK FOR FACIAL EMOTION RECOGNITIONCode0
Dose Prediction with Deep Learning for Prostate Cancer Radiation Therapy: Model Adaptation to Different Treatment Planning Practices—0
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition—0
Terahertz Pulse Shaping Using Diffractive Surfaces—0
Model-based Reinforcement Learning: A Survey—0
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution—0
A shared neural encoding model for the prediction of subject-specific fMRI responseCode0
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities—0
Robustifying Sequential Neural Processes—0
Improving neural network predictions of material properties with limited data using transfer learning—0
Adversarial Multi-Source Transfer Learning in Healthcare: Application to Glucose Prediction for Diabetic People—0
Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster—0
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
Transfer Learning via _1 Regularization—0
Between-Domain Instance Transition Via the Process of Gibbs Sampling in RBM—0
SOAC: The Soft Option Actor-Critic Architecture—0
Backdoor Attacks Against Deep Learning Systems in the Physical World—0
Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification—0
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction—0
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data—0
Supervised Understanding of Word Embeddings—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
A General Class of Transfer Learning Regression without Implementation Cost—0
ELSIM: End-to-end learning of reusable skills through intrinsic motivation—0
Limits of Transfer Learning—0
Show:102550
← PrevPage 157 of 207Next →
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