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 4901–4950 of 10307 papers

TitleStatusHype
Hierarchical Optimal Transport for Comparing Histopathology Datasets—0
AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African Languages—0
kpfriends at SemEval-2022 Task 2: NEAMER -- Named Entity Augmented Multi-word Expression Recognizer—0
Wound Severity Classification using Deep Neural Network—0
Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited tripletsCode0
STRATA: Word Boundaries & Phoneme Recognition From Continuous Urdu Speech using Transfer Learning, Attention, & Data Augmentation—0
Safe Self-Refinement for Transformer-based Domain AdaptationCode1
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a DifferenceCode1
Transfer Learning for Instance Segmentation of Waste Bottles using Mask R-CNN Algorithm—0
Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling—0
Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification—0
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking—0
DeiT III: Revenge of the ViTCode1
OmniPD: One-Step Person Detection in Top-View Omnidirectional Indoor Scenes—0
Adapting Pre-trained Language Models to African Languages via Multilingual Adaptive Fine-TuningCode1
Accurate Clinical Toxicity Prediction using Multi-task Deep Neural Nets and Contrastive Molecular ExplanationsCode1
A Simple Approach to Adversarial Robustness in Few-shot Image ClassificationCode0
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach—0
Transfer Learning for Autonomous Chatter Detection in Machining—0
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic DataCode1
Fake news detection using parallel BERT deep neural networks—0
A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification—0
IDPG: An Instance-Dependent Prompt Generation Method—0
Segmenting across places: The need for fair transfer learning with satellite imagery—0
Does Robustness on ImageNet Transfer to Downstream Tasks?—0
Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning—0
Blockchain as an Enabler for Transfer Learning in Smart Environments—0
Forecasting new diseases in low-data settings using transfer learningCode0
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic SegmentationCode1
Implementing a Real-Time, YOLOv5 based Social Distancing Measuring System for Covid-19—0
mulEEG: A Multi-View Representation Learning on EEG SignalsCode1
MTI-Net: A Multi-Target Speech Intelligibility Prediction Model—0
A Pathology-Based Machine Learning Method to Assist in Epithelial Dysplasia Diagnosis—0
Pneumonia Detection in Chest X-Rays using Neural Networks—0
Unsupervised Prompt Learning for Vision-Language ModelsCode1
Unified Contrastive Learning in Image-Text-Label SpaceCode2
Emotional Speech Recognition with Pre-trained Deep Visual ModelsCode0
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware PseudocoloringCode0
Deep transfer learning for system identification using long short-term memory neural networks—0
Banana Sub-Family Classification and Quality Prediction using Computer Vision—0
A New Dataset for Topic-Based Paragraph Classification in Genocide-Related Court TranscriptsCode0
Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS—0
SecureBERT: A Domain-Specific Language Model for CybersecurityCode1
A lightweight and accurate YOLO-like network for small target detection in Aerial Imagery—0
Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data—0
Stuttgart Open Relay Degradation Dataset (SOReDD)—0
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning—0
Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck—0
Computer-Aided Extraction of Select MRI Markers of Cerebral Small Vessel Disease: A Systematic Review—0
An Analysis of Semantically-Aligned Speech-Text Embeddings—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