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 5201–5250 of 10307 papers

TitleStatusHype
Regularized Soft Actor-Critic for Behavior Transfer Learning—0
Design Perspectives of Multitask Deep Learning Models and Applications—0
SmartFPS: Neural Network based Wireless-inertial fusion positioning system—0
Self-supervised similarity models based on well-logging data—0
Quantifying the effect of color processing on blood and damaged tissue detection in Whole Slide ImagesCode0
Improving Multi-fidelity Optimization with a Recurring Learning Rate for Hyperparameter Tuning—0
Habitat classification from satellite observations with sparse annotations—0
YOLO v3: Visual and Real-Time Object Detection Model for Smart Surveillance Systems(3s)—0
Transfer learning for self-supervised, blind-spot seismic denoising—0
Contrastive learning for unsupervised medical image clustering and reconstruction—0
Transformer-Based Microbubble Localization—0
The SpeakIn Speaker Verification System for Far-Field Speaker Verification Challenge 2022—0
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
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
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning—0
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features—0
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methods—0
Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association LearningCode0
An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer LearningCode0
Anomaly Detection in Automatic Generation Control Systems Based on Traffic Pattern Analysis and Deep Transfer Learning—0
Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence FunctionCode0
Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models—0
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy—0
Data-adaptive Transfer Learning for Translation: A Case Study in Haitian and Jamaican—0
SFS-A68: a dataset for the segmentation of space functions in apartment buildingsCode0
Learning ASR pathways: A sparse multilingual ASR model—0
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning—0
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health—0
Automatically Score Tissue Images Like a Pathologist by Transfer Learning—0
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data—0
Exploring Target Representations for Masked AutoencodersCode0
Improving plant disease classification by adaptive minimal ensembling—0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface—0
Blessing of Class Diversity in Pre-training—0
Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-19—0
Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries—0
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students—0
Transfer Learning of Lexical Semantic Families for Argumentative Discourse Units Identification—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
A Study on Representation Transfer for Few-Shot Learning—0
Federated Transfer Learning with Multimodal Data—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
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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