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 4301–4350 of 10307 papers

TitleStatusHype
The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022—0
On Efficient Reinforcement Learning for Full-length Game of StarCraft IICode2
COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs—0
Joint PMD Tracking and Nonlinearity Compensation with Deep Neural Networks—0
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer TransformersCode0
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts—0
One-to-Many Semantic Communication Systems: Design, Implementation, Performance Evaluation—0
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 DiagnosisCode1
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries—0
Towards Task-Prioritized Policy Composition—0
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-LearningCode0
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin PrincipleCode1
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features—0
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning—0
Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless NetworksCode1
An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer LearningCode0
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association LearningCode0
ScreenQA: Large-Scale Question-Answer Pairs over Mobile App ScreenshotsCode1
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods—0
Anomaly Detection in Automatic Generation Control Systems Based on Traffic Pattern Analysis and Deep Transfer Learning—0
Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models—0
Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence FunctionCode0
SFS-A68: a dataset for the segmentation of space functions in apartment buildingsCode0
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican—0
Learning ASR pathways: A sparse multilingual ASR model—0
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy—0
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning—0
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningCode1
Automatically Score Tissue Images Like a Pathologist by Transfer Learning—0
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health—0
Improving plant disease classification by adaptive minimal ensembling—0
Exploring Target Representations for Masked AutoencodersCode0
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data—0
Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries—0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
Blessing of Class Diversity in Pre-training—0
KT-BT: A Framework for Knowledge Transfer Through Behavior Trees in Multi-Robot SystemsCode1
Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-19—0
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
Reference Resolution and Context Change in Multimodal Situated Dialogue for Exploring Data Visualizations—0
Transfer Learning of Lexical Semantic Families for Argumentative Discourse Units Identification—0
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students—0
Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process—0
Unsupervised Domain Adaptation via Style-Aware Self-intermediate Domain—0
Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center StudyCode1
Federated Transfer Learning with Multimodal Data—0
A Study on Representation Transfer for Few-Shot Learning—0
Generalization in Neural Networks: A Broad Survey—0
Class-Specific Channel Attention for Few-Shot Learning—0
Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting MethodsCode0
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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