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 2201–2250 of 10307 papers

TitleStatusHype
CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learning—0
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation—0
An Efficient Approach to Detecting Lung Nodules Using Swin Transformer—0
Decoding Working-Memory Load During n-Back Task Performance from High Channel NIRS Data—0
Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection—0
Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation—0
Bypassing Optimization Complexity through Transfer Learning & Deep Neural Nets for Speech Intelligibility Improvement—0
Burgers' pinns with implicit euler transfer learning—0
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation—0
Advances and Challenges in Meta-Learning: A Technical Review—0
Buildings Classification using Very High Resolution Satellite Imagery—0
Anomaly Detection in Automatic Generation Control Systems Based on Traffic Pattern Analysis and Deep Transfer Learning—0
Building Robust Industrial Applicable Object Detection Models Using Transfer Learning and Single Pass Deep Learning Architectures—0
Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets—0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations—0
Building medical image classifiers with very limited data using segmentation networks—0
Building Inspection Toolkit: Unified Evaluation and Strong Baselines for Damage Recognition—0
An Occam's Razor View on Learning Audiovisual Emotion Recognition with Small Training Sets—0
Building Height Prediction with Instance Segmentation—0
Building Efficient Lightweight CNN Models—0
Annotation Techniques for Judo Combat Phase Classification from Tournament Footage—0
Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion—0
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach—0
Building a Question and Answer System for News Domain—0
Building and Road Segmentation Using EffUNet and Transfer Learning Approach—0
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images—0
A Correlation-Ratio Transfer Learning and Variational Stein's Paradox—0
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions—0
Deception Detection with Feature-Augmentation by soft Domain Transfer—0
Building Advanced Dialogue Managers for Goal-Oriented Dialogue Systems—0
Multihop: Leveraging Complex Models to Learn Accurate Simple Models—0
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning—0
BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection—0
Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning—0
DEArt: Dataset of European Art—0
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments—0
A Corpus for Commonsense Inference in Story Cloze Test—0
1-D Convolutional Graph Convolutional Networks for Fault Detection in Distributed Energy Systems—0
An Iterative Transfer Learning Based Ensemble Technique for Automatic Short Answer Grading—0
(DE)^2 CO: Deep Depth Colorization—0
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression—0
Bridging The Multi-Modality Gaps of Audio, Visual and Linguistic for Speech Enhancement—0
Bridging the Gap: Transfer Learning from English PLMs to Malaysian English—0
An Iterative Similarity based Adaptation Technique for Cross-domain Text Classification—0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task—0
Bridging the Bosphorus: Advancing Turkish Large Language Models through Strategies for Low-Resource Language Adaptation and Benchmarking—0
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection—0
Evolutionary Optimization of 1D-CNN for Non-contact Respiration Pattern Classification—0
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning—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