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 8401–8450 of 10307 papers

TitleStatusHype
Instance-based Transfer Learning for Multilingual Deep Retrieval—0
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials—0
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings—0
Feature discriminativity estimation in CNNs for transfer learning—0
Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning—0
Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field—0
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging—0
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain MixingCode0
Option Compatible Reward Inverse Reinforcement Learning—0
Model Adaption Object Detection System for Robot—0
Change your singer: a transfer learning generative adversarial framework for song to song conversion—0
Methods for Stabilizing Models across Large Samples of Projects (with case studies on Predicting Defect and Project Health)Code0
Predictive modeling of brain tumor: A Deep learning approach—0
Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks—0
Lesson Learnt: Modularization of Deep Networks Allow Cross-Modality Reuse—0
Federated Adversarial Domain Adaptation—0
CloudifierNet -- Deep Vision Models for Artificial Image Processing—0
Data Augmentation for End-to-End Speech Translation: FBK@IWSLT ‘19—0
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Contextualized Cross-Lingual Event Trigger Extraction with Minimal Resources—0
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding—0
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised DataCode0
Cross-Cultural Transfer Learning for Text Classification—0
Hello, It's GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems—0
Natural Language Generation for Effective Knowledge DistillationCode0
NSIT@NLP4IF-2019: Propaganda Detection from News Articles using Transfer Learning—0
PRADO: Projection Attention Networks for Document Classification On-Device—0
Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model—0
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning—0
Social IQa: Commonsense Reasoning about Social Interactions—0
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
BERT is Not an Interlingua and the Bias of TokenizationCode0
Leveraging Medical Literature for Section Prediction in Electronic Health Records—0
Transfer Learning in Biomedical Named Entity Recognition: An Evaluation of BERT in the PharmaCoNER task—0
Transfer Learning from Transformers to Fake News Challenge Stance Detection (FNC-1) Task—0
Naver Labs Europe's Systems for the Document-Level Generation and Translation Task at WNGT 2019—0
Positional Attention-based Frame Identification with BERT: A Deep Learning Approach to Target Disambiguation and Semantic Frame Selection—0
Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph—0
Cross lingual transfer learning for zero-resource domain adaptation—0
Adversarial Multitask Learning for Joint Multi-Feature and Multi-Dialect Morphological Modeling—0
Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels—0
A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social MediaCode0
Thieves on Sesame Street! Model Extraction of BERT-based APIsCode0
Decoding Neural Responses in Mouse Visual Cortex through a Deep Neural NetworkCode0
Secost: Sequential co-supervision for large scale weakly labeled audio event detection—0
FineText: Text Classification via Attention-based Language Model Fine-tuning—0
Exploring Multilingual Syntactic Sentence RepresentationsCode0
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection—0
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition—0
Deep Learning of Subsurface Flow via Theory-guided Neural Network—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