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 8301–8350 of 10307 papers

TitleStatusHype
Liver Steatosis Segmentation with Deep Learning Methods—0
QC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images—0
Deep Discriminative Fine-Tuning for Cancer Type Classification—0
Deep Learning for Over-the-Air Non-Orthogonal Signal Classification—0
BiNet: Degraded-Manuscript Binarization in Diverse Document Textures and Layouts using Deep Encoder-Decoder Networks—0
A Smartphone-Based Skin Disease Classification Using MobileNet CNN—0
AMPL: A Data-Driven Modeling Pipeline for Drug DiscoveryCode0
Random Projections of Mel-Spectrograms as Low-Level Features for Automatic Music Genre Classification—0
Transfer Value Iteration Networks—0
NegBERT: A Transfer Learning Approach for Negation Detection and Scope ResolutionCode0
Data Efficient Direct Speech-to-Text Translation with Modality Agnostic Meta-Learning—0
On Architectures for Including Visual Information in Neural Language Models for Image DescriptionCode0
Missing Features Reconstruction and Its Impact on Classification Accuracy—0
Instance-based Transfer Learning for Multilingual Deep Retrieval—0
Cross-subject Decoding of Eye Movement Goals from Local Field Potentials—0
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging—0
Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field—0
Towards a General Model of Knowledge for Facial Analysis by Multi-Source Transfer Learning—0
Deep Transfer Learning for Thermal Dynamics Modeling in Smart Buildings—0
How Language-Neutral is Multilingual BERT?Code0
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized OptimizationCode1
Feature discriminativity estimation in CNNs for transfer learning—0
Extracting temporal features into a spatial domain using autoencoders for sperm video analysisCode0
Model Adaption Object Detection System for Robot—0
A Comprehensive Survey on Transfer LearningCode1
Option Compatible Reward Inverse Reinforcement Learning—0
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain MixingCode0
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
Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks—0
Predictive modeling of brain tumor: A Deep learning approach—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
Social IQa: Commonsense Reasoning about Social Interactions—0
Leveraging Medical Literature for Section Prediction in Electronic Health Records—0
Improving Neural Machine Translation by Achieving Knowledge Transfer with Sentence Alignment Learning—0
Contextualized Cross-Lingual Event Trigger Extraction with Minimal Resources—0
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised DataCode0
PRADO: Projection Attention Networks for Document Classification On-Device—0
Cross-Cultural Transfer Learning for Text Classification—0
Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation—0
Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding—0
Sentence-Level Propaganda Detection in News Articles with Transfer Learning and BERT-BiLSTM-Capsule Model—0
BERT is Not an Interlingua and the Bias of TokenizationCode0
Natural Language Generation for Effective Knowledge DistillationCode0
Cross-Task Knowledge Transfer for Query-Based Text Summarization—0
Hello, It's GPT-2 - How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems—0
NSIT@NLP4IF-2019: Propaganda Detection from News Articles using 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