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 4351–4400 of 10307 papers

TitleStatusHype
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific TrainingCode1
Razmecheno: Named Entity Recognition from Digital Archive of Diaries “Prozhito”—0
Gender bias Evaluation in Luganda-English Machine Translation—0
Low Resource Chat Translation: A Benchmark for Hindi–English Language PairCode0
Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite ImageryCode1
Public Parking Spot Detection And Geo-localization Using Transfer Learning—0
A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health EstimationCode0
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect DetectionCode1
Implicit and Efficient Point Cloud Completion for 3D Single Object Tracking—0
Classical-to-quantum convolutional neural network transfer learning—0
ViA: View-invariant Skeleton Action Representation Learning via Motion RetargetingCode1
Few-shot Adaptive Object Detection with Cross-Domain CutMix—0
DLDNN: Deterministic Lateral Displacement Design Automation by Neural NetworksCode0
Real-Time Mask Detection Based on SSD-MobileNetV2—0
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge TransferCode1
Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces—0
Detection and Classification of Brain tumors Using Deep Convolutional Neural Networks—0
Grounded Affordance from Exocentric ViewCode1
Removing Rain Streaks via Task Transfer Learning—0
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck—0
Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning—0
Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource LanguageCode0
Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages—0
MuLan: A Joint Embedding of Music Audio and Natural LanguageCode0
Segmentation of Parotid Gland Tumors Using Multimodal MRI and Contrastive Learning—0
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression—0
Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge TransferCode0
Image augmentation improves few-shot classification performance in plant disease recognition—0
Learning Task Automata for Reinforcement Learning using Hidden Markov Models—0
Improving Natural-Language-based Audio Retrieval with Transfer Learning and Audio & Text Augmentations—0
MuMUR : Multilingual Multimodal Universal Retrieval—0
Towards cumulative race time regression in sports: I3D ConvNet transfer learning in ultra-distance running events—0
Transfer Learning-based State of Health Estimation for Lithium-ion Battery with Cycle Synchronization—0
Why is the video analytics accuracy fluctuating, and what can we do about it?—0
Transfer Learning Application of Self-supervised Learning in ARPES—0
Robust and Large-Payload DNN Watermarking via Fixed, Distribution-Optimized, WeightsCode0
AniWho : A Quick and Accurate Way to Classify Anime Character Faces in ImagesCode0
StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic—0
Anatomy-Aware Contrastive Representation Learning for Fetal UltrasoundCode0
LEAPER: Fast and Accurate FPGA-based System Performance Prediction via Transfer Learning—0
Dialogue Term Extraction using Transfer Learning and Topological Data Analysis—0
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model AdaptationCode1
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch EmbeddingsCode0
Forensic Dental Age Estimation Using Modified Deep Learning Neural Network—0
Transferable Cross-Tokamak Disruption Prediction with Deep Hybrid Neural Network Feature Extractor—0
DenseShift: Towards Accurate and Efficient Low-Bit Power-of-Two QuantizationCode1
A physics-based domain adaptation framework for modelling and forecasting building energy systems—0
Atomistic structure search using local surrogate mode—0
Adapting Task-Oriented Dialogue Models for Email Conversations—0
Effective Transfer Learning for Low-Resource Natural Language Understanding—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