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 1101–1150 of 10307 papers

TitleStatusHype
Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM VolumesCode0
Collusion Detection with Graph Neural Networks—0
Transfer Learning for a Class of Cascade Dynamical Systems—0
Utilizing Transfer Learning and pre-trained Models for Effective Forest Fire Detection: A Case Study of Uttarakhand—0
Generating Synthetic Datasets for Few-shot Prompt Tuning—0
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning—0
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models—0
ModalPrompt:Dual-Modality Guided Prompt for Continual Learning of Large Multimodal Models—0
Advancements in Road Lane Mapping: Comparative Fine-Tuning Analysis of Deep Learning-based Semantic Segmentation Methods Using Aerial Imagery—0
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior—0
A Recurrent Neural Network Approach to the Answering Machine Detection Problem—0
Pre-Ictal Seizure Prediction Using Personalized Deep Learning—0
Deep learning-based Visual Measurement Extraction within an Adaptive Digital Twin Framework from Limited Data Using Transfer Learning—0
Hyper-Representations: Learning from Populations of Neural NetworksCode1
Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data—0
Learning De-Biased Representations for Remote-Sensing ImageryCode0
Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation for Scientific Articles—0
Interpolation-Free Deep Learning for Meteorological Downscaling on Unaligned Grids Across Multiple Domains with Application to Wind Power—0
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models—0
Reconstructing Human Mobility Pattern: A Semi-Supervised Approach for Cross-Dataset Transfer Learning—0
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI—0
Source Data Selection for Brain-Computer Interfaces based on Simple Features—0
A Novel Method for Accurate & Real-time Food Classification: The Synergistic Integration of EfficientNetB7, CBAM, Transfer Learning, and Data Augmentation—0
The Comparison of Individual Cat Recognition Using Neural Networks—0
Universality in Transfer Learning for Linear Models—0
QDGset: A Large Scale Grasping Dataset Generated with Quality-Diversity—0
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar TasksCode0
RS-FME-SwinT: A Novel Feature Map Enhancement Framework Integrating Customized SwinT with Residual and Spatial CNN for Monkeypox Diagnosis—0
An Intrinsically Knowledge-Transferring Developmental Spiking Neural Network for Tactile Classification—0
EMGTTL: Transformers-Based Transfer Learning for Classification of ADL using Raw Surface EMG Signals—0
Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models—0
Scalable Multi-Task Transfer Learning for Molecular Property Prediction—0
Multi-Scale Convolutional LSTM with Transfer Learning for Anomaly Detection in Cellular Networks—0
On the topology and geometry of population-based SHM—0
FireLite: Leveraging Transfer Learning for Efficient Fire Detection in Resource-Constrained Environments—0
UIR-LoRA: Achieving Universal Image Restoration through Multiple Low-Rank AdaptationCode0
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies—0
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition—0
Domain Consistency Representation Learning for Lifelong Person Re-IdentificationCode1
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series ClassificationCode0
OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption SpectraCode0
MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generationCode0
Brain Tumor Classification on MRI in Light of Molecular Markers—0
On the universality of neural encodings in CNNs—0
Accelerating Malware Classification: A Vision Transformer SolutionCode0
Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule AttentionCode0
Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning—0
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge IntegrationCode0
Harmonizing knowledge Transfer in Neural Network with Unified Distillation—0
How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?—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