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

Showing 39013950 of 10307 papers

TitleStatusHype
CAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object ClassificationCode0
Transferable Deep Clustering Model0
Transferring speech-generic and depression-specific knowledge for Alzheimer's disease detection0
Robust Transfer Learning with Unreliable Source Data0
Enhancing the Authenticity of Rendered Portraits with Identity-Consistent Transfer Learning0
Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations0
Amortized Network Intervention to Steer the Excitatory Point Processes0
T-GAE: Transferable Graph Autoencoder for Network AlignmentCode0
ECAvg: An Edge-Cloud Collaborative Learning Approach using Averaged Weights0
Assessing Electricity Service Unfairness with Transfer Counterfactual Learning0
Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning0
Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication0
Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer0
Developing a Novel Holistic, Personalized Dementia Risk Prediction Model via Integration of Machine Learning and Network Systems Biology Approaches0
Learning to Prompt Your Domain for Vision-Language Models0
Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs0
Crossed-IoT device portability of Electromagnetic Side Channel Analysis: Challenges and Dataset0
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-40
PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics0
An evaluation of pre-trained models for feature extraction in image classification0
Graph Neural Network-based EEG Classification: A Survey0
MarineDet: Towards Open-Marine Object Detection0
Reducing Intraspecies and Interspecies Covariate Shift in Traumatic Brain Injury EEG of Humans and Mice Using Transfer Euclidean Alignment0
Diagnosis and Prognosis of Faults in High-Speed Aeronautical Bearings with a Collaborative Selection Incremental Deep Transfer Learning ApproachCode0
ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to ScaleCode0
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression0
Data-Efficient Strategies for Probabilistic Voltage Envelopes under Network Contingencies0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)0
An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning StrategyCode0
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationCode0
Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study0
AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergersCode0
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter CollaborationCode0
Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms0
E2Net: Resource-Efficient Continual Learning with Elastic Expansion NetworkCode0
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces0
Hierarchical Cross-Modality Knowledge Transfer with Sinkhorn Attention for CTC-based ASR0
XVO: Generalized Visual Odometry via Cross-Modal Self-Training0
Robust Internal Representations for Domain Generalization0
Question answering using deep learning in low resource Indian language Marathi0
Cross-Modal Multi-Tasking for Speech-to-Text Translation via Hard Parameter Sharing0
VideoAdviser: Video Knowledge Distillation for Multimodal Transfer Learning0
Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View0
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation0
Boosting High Resolution Image Classification with Scaling-up TransformersCode0
BLIP-Adapter: Parameter-Efficient Transfer Learning for Mobile Screenshot CaptioningCode0
Transferring climate change physical knowledgeCode0
An Ensemble Model for Distorted Images in Real Scenarios0
XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection0
Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender SystemsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2Unverified
2DFA-ENTAccuracy69.2Unverified
3DFA-SAFNAccuracy69.1Unverified
4EasyTLAccuracy63.3Unverified
5MEDAAccuracy60.3Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95Unverified