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 7751–7800 of 10307 papers

TitleStatusHype
Human Instruction-Following with Deep Reinforcement Learning via Transfer-Learning from Text—0
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification—0
Information-theoretic analysis for transfer learning—0
Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer—0
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformationsCode0
A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation—0
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric ModelsCode1
KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive Tweets Using Weighted Ensemble and Fine-Tuned BERT—0
Movement Pruning: Adaptive Sparsity by Fine-TuningCode1
Neural Entity Linking on Technical Service Tickets—0
On Using Transfer Learning For Plant Disease Detection—0
Convolutional Neural Networks for Classifying Melanoma Images—0
An Evaluation of Recent Neural Sequence Tagging Models in Turkish Named Entity Recognition—0
Pre-training technique to localize medical BERT and enhance biomedical BERTCode1
Industrial Federated Learning -- Requirements and System Design—0
NIT-Agartala-NLP-Team at SemEval-2020 Task 8: Building Multimodal Classifiers to tackle Internet Humor—0
Temperate Fish Detection and Classification: a Deep Learning based Approach—0
Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response—0
A network-based transfer learning approach to improve sales forecasting of new products—0
Modularizing Deep Learning via Pairwise Learning With KernelsCode1
A Framework for Hierarchical Multilingual Machine Translation—0
Neural Architecture TransferCode1
High-Fidelity Accelerated MRI Reconstruction by Scan-Specific Fine-Tuning of Physics-Based Neural Networks—0
Multi-Channel Transfer Learning of Chest X-ray Images for Screening of COVID-19—0
SciANN: A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks—0
On the Generation of Medical Dialogues for COVID-19Code0
Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled DataCode0
Prototypical Contrastive Learning of Unsupervised RepresentationsCode1
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation—0
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine TeachingCode1
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian PortugueseCode1
Pretraining Federated Text Models for Next Word PredictionCode1
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification—0
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback ConstraintCode1
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions—0
Generative Model-driven Structure Aligning Discriminative Embeddings for Transductive Zero-shot Learning—0
Understanding Dynamic Scenes using Graph Convolution NetworksCode1
Visually Impaired Aid using Convolutional Neural Networks, Transfer Learning, and Particle Competition and CooperationCode0
Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls—0
Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks—0
Automatic Organization of Neural Modules for Enhanced Collaboration in Neural Networks—0
Planning from Images with Deep Latent Gaussian Process DynamicsCode0
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine TranslationCode1
A Multifactorial Optimization Paradigm for Linkage Tree Genetic AlgorithmCode0
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT ImageCode1
Subdomain Adaptation with Manifolds Discrepancy Alignment—0
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)Code1
Adaptive Invariance for Molecule Property Prediction—0
End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Pseudo Whisper Pre-training—0
3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors—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