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 3451–3500 of 10307 papers

TitleStatusHype
Edge-cloud Collaborative Learning with Federated and Centralized Features—0
Learning to search for and detect objects in foveal images using deep learning—0
Model Sparsity Can Simplify Machine UnlearningCode1
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning—0
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference—0
A Self-attention Knowledge Domain Adaptation Network for Commercial Lithium-ion Batteries State-of-health Estimation under Shallow Cycles—0
Transfer Learning Across Heterogeneous Features For Efficient Tensor Program GenerationCode0
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images—0
Automaton-Guided Curriculum Generation for Reinforcement Learning AgentsCode0
The MONET dataset: Multimodal drone thermal dataset recorded in rural scenariosCode1
Feudal Graph Reinforcement LearningCode0
Reinforcement Learning Based Minimum State-flipped Control for the Reachability of Boolean Control Networks—0
An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classification—0
iPINNs: Incremental learning for Physics-informed neural networks—0
Simulated Annealing in Early Layers Leads to Better GeneralizationCode0
Recent Advancements in Machine Learning For Cybercrime Prediction—0
Transfer Learning for Low-Resource Sentiment AnalysisCode0
ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning—0
Detection of COVID19 in Chest X-Ray Images Using Transfer Learning—0
SimbaML: Connecting Mechanistic Models and Machine Learning with Augmented DataCode0
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey—0
Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning—0
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic RegressionCode0
DATE: Domain Adaptive Product Seeker for E-commerceCode0
Local Rose Breeds Detection System Using Transfer Learning Techniques—0
Graph Enabled Cross-Domain Knowledge Transfer—0
Computer-aided Diagnosis of Malaria through Transfer Learning using the ResNet50 Backbone—0
Classification of Skin Disease Using Transfer Learning in Convolutional Neural Networks—0
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning—0
Efficient Audio Captioning Transformer with Patchout and Text Guidance—0
Natural Language Robot Programming: NLP integrated with autonomous robotic grasping—0
Tag that issue: Applying API-domain labels in issue tracking systems—0
Source-free Domain Adaptation Requires Penalized Diversity—0
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks—0
Towards Efficient Task-Driven Model Reprogramming with Foundation Models—0
Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition—0
I2I: Initializing Adapters with Improvised KnowledgeCode1
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good TeacherCode1
FisHook -- An Optimized Approach to Marine Specie Classification using MobileNetV2—0
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-TuningCode0
GreekBART: The First Pretrained Greek Sequence-to-Sequence ModelCode0
Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine—0
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge ExcavationCode1
Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation—0
Vision-Language Models for Vision Tasks: A SurveyCode4
Deep Manifold Learning for Reading Comprehension and Logical Reasoning Tasks with Polytuplet LossCode0
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding—0
A comparison of small sample methods for Handshape RecognitionCode0
Leveraging medical Twitter to build a visual–language foundation model for pathology AICode2
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of ActionsCode0
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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