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 5251–5300 of 10307 papers

TitleStatusHype
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
ProQA: Structural Prompt-based Pre-training for Unified Question Answering—0
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferringCode0
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer—0
Addressing the Challenges of Cross-Lingual Hate Speech Detection—0
Semantic decoupled representation learning for remote sensing image change detection—0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
Transferability in Deep Learning: A Survey—0
Towards Zero-shot Sign Language Recognition—0
Zero-Shot Machine UnlearningCode1
Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP—0
CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures—0
Adaptive Transfer Learning for Plant Phenotyping—0
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and ClusteringCode0
Assemble Foundation Models for Automatic Code SummarizationCode1
Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision—0
Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents—0
The Recurrent Reinforcement Learning Crypto Agent—0
Early Diagnosis of Parkinsons Disease by Analyzing Magnetic Resonance Imaging Brain Scans and Patient Characteristics—0
Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?—0
Classification of Beer Bottles using Object Detection and Transfer Learning—0
A Feature Extraction based Model for Hate Speech Identification—0
Active Reinforcement Learning -- A Roadmap Towards Curious Classifier Systems for Self-Adaptation—0
Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy—0
Transfer Learning for Scene Text Recognition in Indian Languages—0
Head2Toe: Utilizing Intermediate Representations for Better Transfer LearningCode1
BERT for Sentiment Analysis: Pre-trained and Fine-Tuned AlternativesCode0
Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo ReplayCode1
Attention Option-Critic—0
Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images—0
Data-Efficient Information Extraction from Form-Like Documents—0
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation—0
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interfaceCode1
Multi-Label Classification on Remote-Sensing Images—0
An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks—0
Sign Language Recognition System using TensorFlow Object Detection API—0
Probing TryOnGAN—0
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection—0
Multi-Representation Adaptation Network for Cross-domain Image ClassificationCode2
Weakly-supervised continual learning for class-incremental segmentationCode1
Network Collaborator: Knowledge Transfer Between Network Reconstruction and Community DetectionCode0
Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity—0
Sentiment Analysis and Sarcasm Detection of Indian General Election Tweets—0
Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model—0
Transfer-learning-based Surrogate Model for Thermal Conductivity of Nanofluids—0
SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing—0
Rep-Net: Efficient On-Device Learning via Feature Reprogramming—0
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning—0
Improving Video Model Transfer With Dynamic Representation Learning—0
Learning Multiple Adverse Weather Removal via Two-Stage Knowledge Learning and Multi-Contrastive Regularization: Toward a Unified ModelCode1
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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