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 2451–2500 of 10307 papers

TitleStatusHype
Force myography benchmark data for hand gesture recognition and transfer learningCode0
Forecasting new diseases in low-data settings using transfer learningCode0
IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim DetectionCode0
Foundation Model for Composite Microstructures: Reconstruction, Stiffness, and Nonlinear Behavior PredictionCode0
From Colors to Classes: Emergence of Concepts in Vision TransformersCode0
Focus on the Positives: Self-Supervised Learning for Biodiversity MonitoringCode0
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image ClassificationCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Augmenting semantic lexicons using word embeddings and transfer learningCode0
AMNet: Memorability Estimation with AttentionCode0
Adaptive Multi-Task Transfer Learning for Chinese Word Segmentation in Medical TextCode0
FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D DetectionCode0
Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment AnalysisCode0
A Unified Framework for Domain Adaptation using Metric Learning on ManifoldsCode0
Augmenting Knowledge Transfer across GraphsCode0
Flat Posterior Does Matter For Bayesian Model AveragingCode0
Curriculum Learning for Cumulative Return MaximizationCode0
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer LearningCode0
Fleet Control using Coregionalized Gaussian Process Policy IterationCode0
DAMSL: Domain Agnostic Meta Score-based LearningCode0
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image AnalysisCode0
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationCode0
A Unified Meta-Learning Framework for Dynamic Transfer LearningCode0
First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher NetworkCode0
Flexible Option LearningCode0
A Unified Neural Architecture for Instrumental Audio TasksCode0
From English to Code-Switching: Transfer Learning with Strong Morphological CluesCode0
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across TokenizersCode0
GAN Cocktail: mixing GANs without dataset accessCode0
GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack DetectionCode0
Generative Denoise Distillation: Simple Stochastic Noises Induce Efficient Knowledge Transfer for Dense PredictionCode0
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption SpectraCode0
Augmenting Biomedical Named Entity Recognition with General-domain ResourcesCode0
Fine-grained Sentiment Classification using BERTCode0
Fine-Grained Classification for Poisonous Fungi Identification with Transfer LearningCode0
AugFL: Augmenting Federated Learning with Pretrained ModelsCode0
Fine-Grained Emotion Prediction by Modeling Emotion DefinitionsCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural FeaturesCode0
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited tripletsCode0
CUDA-GHR: Controllable Unsupervised Domain Adaptation for Gaze and Head RedirectionCode0
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related FeaturesCode0
Database Workload Characterization with Query Plan EncodersCode0
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student ArchitecturesCode0
A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service InferenceCode0
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion RecognitionCode0
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain StudyCode0
Few-Shot Learning for Image Classification of Common FloraCode0
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant SetupCode0
CSTRL: Context-Driven Sequential Transfer Learning for Abstractive Radiology Report SummarizationCode0
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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