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 9401–9450 of 10307 papers

TitleStatusHype
How emotional are you? Neural Architectures for Emotion Intensity Prediction in MicroblogsCode1
Convolutional Neural Network for Universal Sentence Embeddings—0
Farewell Freebase: Migrating the SimpleQuestions Dataset to DBpediaCode0
Transfer Learning for Entity Recognition of Novel ClassesCode0
Transfer Learning for a Letter-Ngrams to Word Decoder in the Context of Historical Handwriting Recognition with Scarce Resources—0
Transferred Embeddings for Igbo Similarity, Analogy, and Diacritic Restoration Tasks—0
Using Neural Transfer Learning for Morpho-syntactic Tagging of South-Slavic Languages Tweets—0
TRAC-1 Shared Task on Aggression Identification: IIT(ISM)@COLING'18—0
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)Code0
Brain MRI Image Super Resolution using Phase Stretch Transform and Transfer LearningCode0
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning—0
Deep Recurrent Neural Networks for ECG Signal DenoisingCode1
Improving Transferability of Deep Neural Networks—0
Semi-supervised Transfer Learning for Image Rain RemovalCode0
Visual Analogies between Atari Games for Studying Transfer Learning in RL—0
Do Better ImageNet Models Transfer Better... for Image Recommendation?—0
Attend Before you Act: Leveraging human visual attention for continual learningCode0
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks—0
Asynchronous Advantage Actor-Critic Agent for Starcraft II—0
Knowledge-based Transfer Learning ExplanationCode0
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding—0
Surgical Phase Recognition of Short Video Shots Based on Temporal Modeling of Deep Features—0
Deep Transfer Learning for Cross-domain Activity Recognition—0
Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning—0
Transfer Learning for Action Unit Recognition—0
Visual Domain Adaptation with Manifold Embedded Distribution Alignment—0
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning—0
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement—0
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
Balanced Distribution Adaptation for Transfer Learning—0
Mammography Dual View Mass Correspondence—0
Breast cancer histology classification using Deep Residual NetworksCode0
Deep Residual Network based Automatic Image Grading for Diabetic Macular EdemaCode0
A Food Photography App with Image Recognition for Thai Food—0
Structured Variationally Auto-encoded Optimization—0
Transfer Learning via Learning to Transfer—0
Coherence Modeling Improves Implicit Discourse Relation Recognition—0
A Situated Dialogue System for Learning Structural Concepts in Blocks World—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