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 2301–2350 of 10307 papers

TitleStatusHype
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge TransferCode0
Generalizing over Long Tail Concepts for Medical Term NormalizationCode0
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate DiagnosisCode0
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related FeaturesCode0
Generalizing Teacher Networks for Effective Knowledge Distillation Across Student ArchitecturesCode0
Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingCode0
GPT-3 Models are Poor Few-Shot Learners in the Biomedical DomainCode0
HCR-Net: A deep learning based script independent handwritten character recognition networkCode0
Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence LabelingCode0
Auto-Transfer: Learning to Route Transferrable RepresentationsCode0
Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across DomainsCode0
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural NetworksCode0
Generalization Through The Lens Of Leave-One-Out ErrorCode0
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative TransferCode0
Auto-segmentation of Hip Joints using MultiPlanar UNet with Transfer learningCode0
A comparison of small sample methods for Handshape RecognitionCode0
Autonomous Navigation via Deep Reinforcement Learning for Resource Constraint Edge Nodes using Transfer LearningCode0
Generalizable Local Feature Pre-training for Deformable Shape AnalysisCode0
Gated Domain Units for Multi-source Domain GeneralizationCode0
Understanding the Transferability of Representations via Task-RelatednessCode0
Context selectivity with dynamic availability enables lifelong continual learningCode0
GAN pretraining for deep convolutional autoencoders applied to Software-based Fingerprint Presentation Attack DetectionCode0
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer LearningCode0
Automaton-Guided Curriculum Generation for Reinforcement Learning AgentsCode0
Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility AssessmentCode0
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust FusionCode0
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
GAN Cocktail: mixing GANs without dataset accessCode0
Analysis and Prediction of NLP Models Via Task EmbeddingsCode0
Functional Knowledge Transfer with Self-supervised Representation LearningCode0
FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural NetworksCode0
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformationsCode0
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided DecodingCode0
From Video Game to Real Robot: The Transfer between Action SpacesCode0
FTA-FTL: A Fine-Tuned Aggregation Federated Transfer Learning Scheme for Lithology Microscopic Image ClassificationCode0
Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text ClassificationCode0
From Colors to Classes: Emergence of Concepts in Vision TransformersCode0
Analysing Cross-Lingual Transfer in Low-Resourced African Named Entity RecognitionCode0
From English to Code-Switching: Transfer Learning with Strong Morphological CluesCode0
An AI-Powered VVPAT Counter for Elections in IndiaCode0
Automatic Online Multi-Source Domain AdaptationCode0
From Patch to Image Segmentation using Fully Convolutional Networks -- Application to Retinal ImagesCode0
Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z < 1.4 in the Hyper Supreme-Cam Wide SurveyCode0
Free the Plural: Unrestricted Split-Antecedent Anaphora ResolutionCode0
FrImCla: A Framework for Image Classification Using Traditional and Transfer Learning TechniquesCode0
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across TokenizersCode0
Generalized Funnelling: Ensemble Learning and Heterogeneous Document Embeddings for Cross-Lingual Text ClassificationCode0
Automatic location detection based on deep learningCode0
FOSI: Hybrid First and Second Order OptimizationCode0
AdaRank: Disagreement Based Module Rank Prediction for Low-rank AdaptationCode0
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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