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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3851–3900 of 10307 papers

TitleStatusHype
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning—0
A Robust Ensemble Model for Patasitic Egg Detection and Classification—0
Eye Disease Classification Using Deep Learning Techniques—0
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
Automated Visual Attention Detection using Mobile Eye Tracking in Behavioral Classroom Studies—0
Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques—0
Face2Text revisited: Improved data set and baseline results—0
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries—0
Face Mask Detection using Transfer Learning of InceptionV3—0
FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfer—0
Faces of Experimental Pain: Transferability of Deep Learned Heat Pain Features to Electrical Pain—0
Facial Action Unit Recognition Based on Transfer Learning—0
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition—0
Combining Behaviors with the Successor Features Keyboard—0
Combining Convolution and Recursive Neural Networks for Sentiment Analysis—0
Decouple Non-parametric Knowledge Distillation For End-to-end Speech Translation—0
A Framework of Meta Functional Learning for Regularising Knowledge Transfer—0
Facial Landmark Correlation Analysis—0
Combining Deep Transfer Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification—0
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Overview and Perspectives—0
A Multi-Modal Knowledge-Enhanced Framework for Vessel Trajectory Prediction—0
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation—0
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning—0
Automated Testing of Spatially-Dependent Environmental Hypotheses through Active Transfer Learning—0
A Compare-Aggregate Model with Latent Clustering for Answer Selection—0
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types—0
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing—0
Combining human parsing with analytical feature extraction and ranking schemes for high-generalization person reidentification—0
Decoupled classifiers for fair and efficient machine learning—0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization—0
Fake news detection using parallel BERT deep neural networks—0
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—0
Training Data Independent Image Registration With GANs Using Transfer Learning And Segmentation Information—0
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning—0
Using LLMs to Establish Implicit User Sentiment of Software Desirability—0
Decomposition-Based Transfer Distance Metric Learning for Image Classification—0
Fast Adaptation with Linearized Neural Networks—0
Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance—0
Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning—0
A Multi-media Approach to Cross-lingual Entity Knowledge Transfer—0
Fast and Scalable Expansion of Natural Language Understanding Functionality for Intelligent Agents—0
Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning—0
Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection—0
Decomposable Probability-of-Success Metrics in Algorithmic Search—0
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks—0
Fast Data-Driven Adaptation of Radar Detection via Meta-Learning—0
Adaptive Transfer Learning for Plant Phenotyping—0
Fine-Tuning Models Comparisons on Garbage Classification for Recyclability—0
Show:102550
← PrevPage 78 of 207Next →
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