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 5101–5150 of 10307 papers

TitleStatusHype
Multi-fidelity reinforcement learning framework for shape optimization—0
A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric VehiclesCode1
Model Reprogramming: Resource-Efficient Cross-Domain Machine LearningCode1
Simplified Learning of CAD Features Leveraging a Deep Residual AutoencoderCode0
Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies—0
Domain-Augmented Domain Adaptation—0
Multi-task Representation Learning with Stochastic Linear Bandits—0
BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search enginesCode0
OG-SGG: Ontology-Guided Scene Graph Generation. A Case Study in Transfer Learning for Telepresence RoboticsCode0
Cross-Task Knowledge Distillation in Multi-Task Recommendation—0
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responsesCode1
Training Robots without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer—0
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations—0
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy BreachesCode0
From FreEM to D'AlemBERT: a Large Corpus and a Language Model for Early Modern French—0
Domain Adaptation of low-resource Target-Domain models using well-trained ASR Conformer Models—0
VCVTS: Multi-speaker Video-to-Speech synthesis via cross-modal knowledge transfer from voice conversion—0
CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentationCode0
ST-MoE: Designing Stable and Transferable Sparse Expert ModelsCode3
Semantically Proportional Patchmix for Few-Shot Learning—0
Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations—0
Scalable approach to many-body localization via quantum dataCode0
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification—0
Multimodal Emotion Recognition using Transfer Learning from Speaker Recognition and BERT-based models—0
CAREER: A Foundation Model for Labor Sequence DataCode1
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable SensorsCode0
Low Latency Real-Time Seizure Detection Using Transfer Deep Learning—0
Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers—0
Knowledge Distillation with Deep SupervisionCode0
An Intrusion Response System utilizing Deep Q-Networks and System PartitionsCode0
NeuPL: Neural Population Learning—0
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes—0
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
Building Inspection Toolkit: Unified Evaluation and Strong Baselines for Damage Recognition—0
DS4DH at TREC Health Misinformation 2021: Multi-Dimensional Ranking Models with Transfer Learning and Rank Fusion—0
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning—0
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasetsCode0
Mixture of Online and Offline Experts for Non-stationary Time SeriesCode0
Automatic Issue Classifier: A Transfer Learning Framework for Classifying Issue ReportsCode0
Classification of Microscopy Images of Breast Tissue: Region Duplication based Self-Supervision vs. Off-the Shelf Deep Representations—0
Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning—0
Hindi/Bengali Sentiment Analysis Using Transfer Learning and Joint Dual Input Learning with Self AttentionCode0
SleepPPG-Net: a deep learning algorithm for robust sleep staging from continuous photoplethysmography—0
InPars: Data Augmentation for Information Retrieval using Large Language ModelsCode2
Consistency and Diversity induced Human Motion Segmentation—0
Development and Comparison of Scoring Functions in Curriculum Learning—0
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation—0
Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data—0
Deep Learning for Computational Cytology: A Survey—0
Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model DecodingCode0
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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