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 7351–7400 of 10307 papers

TitleStatusHype
Distance-Preserving Spatial Representations in Genomic Data—0
Cross-domain Named Entity Recognition via Graph Matching—0
UNER: A Unified Prediction Head for Named Entity Recognition in Visually-rich Documents—0
Using LLMs to Establish Implicit User Sentiment of Software Desirability—0
Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users—0
Machine Learning Applications in Medical Prognostics: A Comprehensive Review—0
FE-Adapter: Adapting Image-based Emotion Classifiers to Videos—0
An Efficient Approach to Detecting Lung Nodules Using Swin Transformer—0
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography—0
Assessing the Performance of Analog Training for Transfer Learning—0
Towards Cultural Bridge by Bahnaric-Vietnamese Translation Using Transfer Learning of Sequence-To-Sequence Pre-training Language Model—0
FlowBERT: Prompt-tuned BERT for variable flow field prediction—0
Robust Evolutionary Multi-Objective Network Architecture Search for Reinforcement Learning (EMNAS-RL)—0
Attention on flow control: transformer-based reinforcement learning for lift regulation in highly disturbed flows—0
2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion—0
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge—0
2-Tier SimCSE: Elevating BERT for Robust Sentence Embeddings—0
300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning—0
360^ High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer—0
Three-dimensional Coherent X-ray Diffraction Imaging via Deep Convolutional Neural Networks—0
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network—0
3D for Free: Crossmodal Transfer Learning using HD Maps—0
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images—0
3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework using Fully 3D Convolutional Neural Networks—0
3D Printed Brain-Controlled Robot-Arm Prosthetic via Embedded Deep Learning from sEMG Sensors—0
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks—0
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware—0
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
6th Place Solution to Google Universal Image Embedding—0
A3CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification—0
A 3M-Hybrid Model for the Restoration of Unique Giant Murals: A Case Study on the Murals of Yongle Palace—0
A bandit approach to curriculum generation for automatic speech recognition—0
A Base Model Selection Methodology for Efficient Fine-Tuning—0
A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms—0
A Bayesian Framework for Active Tactile Object Recognition, Pose Estimation and Shape Transfer Learning—0
A Bayesian Hierarchical Model for Generating Synthetic Unbalanced Power Distribution Grids—0
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability—0
A Big Data-empowered System for Real-time Detection of Regional Discriminatory Comments on Vietnamese Social Media—0
Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning—0
A Brief History of Prompt: Leveraging Language Models. (Through Advanced Prompting)—0
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs—0
Abu-MaTran: Automatic building of Machine Translation—0
A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning—0
Accelerated and Inexpensive Machine Learning for Manufacturing Processes with Incomplete Mechanistic Knowledge—0
Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning—0
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer—0
Accelerating evolutionary exploration through language model-based transfer learning—0
Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning—0
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization—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