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 9451–9500 of 10307 papers

TitleStatusHype
Self-supervised Knowledge Distillation Using Singular Value DecompositionCode0
Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models—0
Towards Single-phase Single-stage Detection of Pulmonary Nodules in Chest CT Imaging—0
Multi-task dialog act and sentiment recognition on MastodonCode0
Neural Networks Regularization Through Representation LearningCode0
State-of-the-art and gaps for deep learning on limited training data in remote sensing—0
AI Reasoning Systems: PAC and Applied Methods—0
Multi-Task Learning with Incomplete Data for Healthcare—0
Towards more Reliable Transfer Learning—0
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection—0
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks—0
Neonatal Pain Expression Recognition Using Transfer Learning—0
End-to-End Learning on 3D Protein Structure for Interface PredictionCode0
Mammography Dual View Mass Correspondence—0
Balanced Distribution Adaptation for Transfer Learning—0
Structured Variationally Auto-encoded Optimization—0
Detecting Offensive Tweets in Hindi-English Code-Switched Language—0
BioAMA: Towards an End to End BioMedical Question Answering System—0
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification—0
A Food Photography App with Image Recognition for Thai Food—0
A Helping Hand: Transfer Learning for Deep Sentiment Analysis—0
Breast cancer histology classification using Deep Residual NetworksCode0
Coherence Modeling Improves Implicit Discourse Relation Recognition—0
Deep Residual Network based Automatic Image Grading for Diabetic Macular EdemaCode0
A Situated Dialogue System for Learning Structural Concepts in Blocks World—0
A Multi-lingual Multi-task Architecture for Low-resource Sequence LabelingCode0
A Named Entity Recognition Shootout for German—0
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP—0
Transfer Learning via Learning to Transfer—0
Unsupervised Random Walk Sentence Embeddings: A Strong but Simple Baseline—0
Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly ApplicableCode0
Neural Networks Trained to Solve Differential Equations Learn General Representations—0
TextWorld: A Learning Environment for Text-based GamesCode0
A probabilistic constrained clustering for transfer learning and image category discovery—0
A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce—0
Data Efficient Lithography Modeling with Transfer Learning and Active Data Selection—0
Estimating Bicycle Route Attractivity from Image Data—0
Cross-position Activity Recognition with Stratified Transfer Learning—0
Considerations for a PAP Smear Image Analysis System with CNN Features—0
Zeta Distribution and Transfer Learning Problem—0
Domain Adaptation for Infection Prediction from Symptoms Based on Data from Different Study Designs and Contexts—0
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural NetworksCode0
Uncertainty in Multitask Transfer Learning—0
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer—0
A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation—0
Towards an efficient deep learning model for musical onset detectionCode0
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and GeometryCode0
Motion Planning NetworksCode0
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable RepresentationsCode0
Action Learning for 3D Point Cloud Based Organ 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