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 7101–7150 of 10307 papers

TitleStatusHype
Machine Learning Algorithms for Breast Cancer Detection in Mammography Images: A Comparative Study—0
COVID-19 Detection in Cough, Breath and Speech using Deep Transfer Learning and Bottleneck Features—0
Machine Learning-Based Jamun Leaf Disease Detection: A Comprehensive Review—0
Machine Learning based Post Processing Artifact Reduction in HEVC Intra Coding—0
Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks—0
Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review—0
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules—0
Machine Learning Models for Reinforced Concrete Pipes Condition Prediction: The State-of-the-Art Using Artificial Neural Networks and Multiple Linear Regression in a Wisconsin Case Study—0
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond—0
Machine Learning Robustness: A Primer—0
Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods—0
Machine Learning Techniques for MRI Data Processing at Expanding Scale—0
Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction—0
Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning—0
Machine Translation for a Very Low-Resource Language - Layer Freezing Approach on Transfer Learning—0
Machine Translation for Ge'ez Language—0
Machine Translation of Low-Resource Indo-European Languages—0
MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification—0
Maestro-U: Leveraging joint speech-text representation learning for zero supervised speech ASR—0
Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0—0
Magnetic Resonance Image Processing Transformer for General Accelerated Image Reconstruction—0
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior—0
Magnituder Layers for Implicit Neural Representations in 3D—0
MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning—0
Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages—0
Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation—0
Making deep neural networks work for medical audio: representation, compression and domain adaptation—0
Making Graph Neural Networks Worth It for Low-Data Molecular Machine Learning—0
Making Person Search Enjoy the Merits of Person Re-identification—0
Malaria Cell Detection Using Deep Neural Networks—0
Malaria Parasitic Detection using a New Deep Boosted and Ensemble Learning Framework—0
Malware Classification Using Deep Boosted Learning—0
Malware Classification Using Transfer Learning—0
Mamba-Adaptor: State Space Model Adaptor for Visual Recognition—0
Mammography Dual View Mass Correspondence—0
MAMOC: MRI Motion Correction via Masked Autoencoding—0
Mandarin-English Code-Switching Speech Recognition System for Specific Domain—0
Manifold Alignment with Label Information—0
Manifold Learning via Foliations and Knowledge Transfer—0
Manufacturing Dispatching using Reinforcement and Transfer Learning—0
Many or Few Samples? Comparing Transfer, Contrastive and Meta-Learning in Encrypted Traffic Classification—0
Many-Task Federated Fine-Tuning via Unified Task Vectors—0
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation—0
MAPLE: Microprocessor A Priori for Latency Estimation—0
Mapping probability word problems to executable representations—0
MarineDet: Towards Open-Marine Object Detection—0
Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation—0
Markerless tracking of user-defined features with deep learning—0
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model—0
Marvelous Agglutinative Language Effect on Cross Lingual Transfer Learning—0
Show:102550
← PrevPage 143 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