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 6651–6700 of 10307 papers

TitleStatusHype
Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning—0
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learningCode0
Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning—0
Clustered Hierarchical Anomaly and Outlier Detection AlgorithmsCode1
Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification—0
Transfer Learning Approach for Arabic Offensive Language Detection System -- BERT-Based Model—0
Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural networkCode1
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface—0
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks—0
Point-set Distances for Learning Representations of 3D Point CloudsCode1
Improving filling level classification with adversarial training—0
Rapid Classification of Glaucomatous Fundus Images—0
Overhead MNIST: A Benchmark Satellite Dataset—0
Contrastive Embeddings for Neural ArchitecturesCode1
Damage detection using in-domain and cross-domain transfer learning—0
Functional optimal transport: map estimation and domain adaptation for functional dataCode1
MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management—0
A bandit approach to curriculum generation for automatic speech recognition—0
Unsupervised Audio-Visual Subspace Alignment for High-Stakes Deception Detection—0
Show, Attend and Distill:Knowledge Distillation via Attention-based Feature MatchingCode1
Transfer Learning in Bandits with Latent Continuity—0
Deep CNNs for large scale species classification—0
Learning Graph Embeddings for Compositional Zero-shot LearningCode1
Data Generation Using Pass-phrase-dependent Deep Auto-encoders for Text-Dependent Speaker Verification—0
Introduction to Neural Transfer Learning with Transformers for Social Science Text Analysis—0
Detecting Bias in Transfer Learning Approaches for Text Classification—0
A Novel Transfer Learning-Based Approach for Screening Pre-existing Heart Diseases Using Synchronized ECG Signals and Heart Sounds—0
Recurrent Neural Network for MoonBoard Climbing Route Classification and Generation—0
Real-time detection of uncalibrated sensors using Neural Networks—0
Scaling Laws for Transfer—0
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review—0
Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detectionCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
CODE-AE: A Coherent De-confounding Autoencoder for Predicting Patient-Specific Drug Response From Cell Line TranscriptomicsCode1
Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models—0
Short Text Clustering with Transformers—0
Ultrasound Image Classification using ACGAN with Small Training DatasetCode0
Cross-domain Activity Recognition via Substructural Optimal Transport—0
Gesture Recognition in Robotic Surgery: a Review—0
A Petri Dish for Histopathology Image Analysis—0
Classification Of Automotive Targets Using Inverse Synthetic Aperture Radar Images—0
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning—0
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection—0
Domain Adaptation by Topology Regularization—0
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification—0
Self-Calibrating Indoor Localization with Crowdsourcing Fingerprints and Transfer Learning—0
Malware Detection Using Frequency Domain-Based Image Visualization and Deep LearningCode1
Summarising Historical Text in Modern LanguagesCode1
Adversarial Vulnerability of Active Transfer Learning—0
Graphonomy: Universal Image Parsing via Graph Reasoning and TransferCode1
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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