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 4651–4700 of 10307 papers

TitleStatusHype
Modeling Generalized Specialist Approach To Train Quality Resilient Snapshot EnsembleCode0
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and TrackingCode1
Toward Real-world Single Image Deraining: A New Benchmark and BeyondCode1
Toward Dynamic Stability Assessment of Power Grid Topologies using Graph Neural NetworksCode0
A Correlation-Ratio Transfer Learning and Variational Stein's Paradox—0
Convex Hull Prediction for Adaptive Video Streaming by Recurrent Learning—0
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly LocalizationCode1
Data-Efficient Double-Win Lottery Tickets from Robust Pre-trainingCode0
On Hypothesis Transfer Learning of Functional Linear Models—0
The Missing Link: Finding label relations across datasets—0
Neural Prompt SearchCode2
Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning—0
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models—0
Neural Collapse: A Review on Modelling Principles and Generalization—0
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flowCode0
Discrete State-Action Abstraction via the Successor RepresentationCode0
EiX-GNN : Concept-level eigencentrality explainer for graph neural networksCode0
Transfer learning to decode brain states reflecting the relationship between cognitive tasks—0
CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification—0
Transfer Learning based Search Space Design for Hyperparameter Tuning—0
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning—0
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection—0
Evaluation-oriented Knowledge Distillation for Deep Face Recognition—0
Hardware-accelerated Mars Sample Localization via deep transfer learning from photorealistic simulationsCode0
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization GuaranteesCode0
MorisienMT: A Dataset for Mauritian Creole Machine Translation—0
Actuarial Applications of Natural Language Processing Using Transformers: Case Studies for Using Text Features in an Actuarial ContextCode2
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling—0
MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical ImagingCode0
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation—0
Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning—0
Learning Unbiased Transferability for Domain Adaptation by Uncertainty ModelingCode0
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEGCode1
Enriching a Fashion Knowledge Graph from Product Textual Descriptions—0
Transfer Language Selection for Zero-Shot Cross-Lingual Abusive Language Detection—0
Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning—0
Challenging the Assumption of Structure-based embeddings in Few- and Zero-shot Knowledge Graph CompletionCode0
Pars-ABSA: a Manually Annotated Aspect-based Sentiment Analysis Benchmark on Farsi Product ReviewsCode1
Quality versus Quantity: Building Catalan-English MT Resources—0
Improving Signer Independent Sign Language Recognition for Low Resource Languages—0
Multilingual Transfer Learning for Children Automatic Speech Recognition—0
Exploring Transfer Learning for Urdu Speech Synthesis—0
DTW at Qur’an QA 2022: Utilising Transfer Learning with Transformers for Question Answering in a Low-resource DomainCode0
Named Entity Recognition in Estonian 19th Century Parish Court RecordsCode0
SpecNFS: A Challenge Dataset Towards Extracting Formal Models from Natural Language SpecificationsCode0
Extracting and Analysing Metaphors in Migration Media Discourse: towards a Metaphor Annotation SchemeCode0
Medical Crossing: a Cross-lingual Evaluation of Clinical Entity LinkingCode0
Multi-Aspect Transfer Learning for Detecting Low Resource Mental Disorders on Social MediaCode1
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian—0
Resources and Experiments on Sentiment Classification for Georgian—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