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 4501–4550 of 10307 papers

TitleStatusHype
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation—0
Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains—0
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images—0
SpectFormer: Frequency and Attention is what you need in a Vision Transformer—0
Edge-cloud Collaborative Learning with Federated and Centralized Features—0
Learning to search for and detect objects in foveal images using deep learning—0
RECLIP: Resource-efficient CLIP by Training with Small Images—0
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference—0
A Deep Analysis of Transfer Learning Based Breast Cancer Detection Using Histopathology Images—0
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning—0
Feudal Graph Reinforcement LearningCode0
Reinforcement Learning Based Minimum State-flipped Control for the Reachability of Boolean Control Networks—0
Automaton-Guided Curriculum Generation for Reinforcement Learning AgentsCode0
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
Transfer Learning for Low-Resource Sentiment AnalysisCode0
Simulated Annealing in Early Layers Leads to Better GeneralizationCode0
iPINNs: Incremental learning for Physics-informed neural networks—0
An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classification—0
Recent Advancements in Machine Learning For Cybercrime Prediction—0
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
Local Rose Breeds Detection System Using Transfer Learning Techniques—0
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey—0
Privacy-Preserving CNN Training with Transfer Learning: Multiclass Logistic RegressionCode0
Graph Enabled Cross-Domain Knowledge Transfer—0
Rethinking Evaluation Protocols of Visual Representations Learned via Self-supervised Learning—0
DATE: Domain Adaptive Product Seeker for E-commerceCode0
Computer-aided Diagnosis of Malaria through Transfer Learning using the ResNet50 Backbone—0
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning—0
Classification of Skin Disease Using Transfer Learning in Convolutional Neural Networks—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
Efficient Audio Captioning Transformer with Patchout and Text Guidance—0
Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition—0
NUMSnet: Nested-U Multi-class Segmentation network for 3D Medical Image Stacks—0
Towards Efficient Task-Driven Model Reprogramming with Foundation Models—0
FisHook -- An Optimized Approach to Marine Specie Classification using MobileNetV2—0
Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine—0
Deep Manifold Learning for Reading Comprehension and Logical Reasoning Tasks with Polytuplet LossCode0
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-TuningCode0
GreekBART: The First Pretrained Greek Sequence-to-Sequence ModelCode0
Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation—0
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding—0
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of ActionsCode0
A comparison of small sample methods for Handshape RecognitionCode0
LaCViT: A Label-aware Contrastive Fine-tuning Framework for Vision TransformersCode0
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and RobustnessCode0
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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