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 8501–8550 of 10307 papers

TitleStatusHype
Causally Regularized Learning with Agnostic Data Selection Bias—0
Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support—0
Causal Reinforcement Learning: A Survey—0
Causal Time-Series Synchronization for Multi-Dimensional Forecasting—0
Causal Transfer for Imitation Learning and Decision Making under Sensor-shift—0
Cause-Effect Preservation and Classification using Neurochaos Learning—0
CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images—0
CCS-GAN: COVID-19 CT-scan classification with very few positive training images—0
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis—0
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training—0
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning—0
CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models—0
CDS: Cross-Domain Self-Supervised Pre-Training—0
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks—0
CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection—0
CellLineNet: End-to-End Learning and Transfer Learning For Multiclass Epithelial Breast cell Line Classification via a Convolutional Neural Network—0
Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing—0
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research—0
Challenges for cognitive decoding using deep learning methods—0
Challenges in including extra-linguistic context in pre-trained language models—0
Change your singer: a transfer learning generative adversarial framework for song to song conversion—0
Channel Scaling: A Scale-and-Select Approach for Transfer Learning—0
Channel-wise pruning of neural networks with tapering resource constraint—0
The (In)Effectiveness of Intermediate Task Training For Domain Adaptation and Cross-Lingual Transfer Learning—0
Characterizing and Avoiding Negative Transfer—0
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm—0
Char-RNN for Word Stress Detection in East Slavic Languages—0
ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning—0
Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method—0
CheX-Nomaly: Segmenting Lung Abnormalities from Chest Radiographs using Machine Learning—0
ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN—0
Chimpanzee voice prints? Insights from transfer learning experiments from human voices—0
CIAO! A Contrastive Adaptation Mechanism for Non-Universal Facial Expression Recognition—0
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning—0
CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer—0
Claim Detection in Biomedical Twitter Posts—0
Claim extraction from text using transfer learning.—0
ClaRet -- A CNN Architecture for Optical Coherence Tomography—0
Class-Aware Adversarial Transformers for Medical Image Segmentation—0
Class-based Subset Selection for Transfer Learning under Extreme Label Shift—0
Class Conditional Alignment for Partial Domain Adaptation—0
Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays—0
Classical-to-quantum convolutional neural network transfer learning—0
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks—0
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks—0
Classification Algorithm of Speech Data of Parkinsons Disease Based on Convolution Sparse Kernel Transfer Learning with Optimal Kernel and Parallel Sample Feature Selection—0
Classification of Alzheimer's Disease Using the Convolutional Neural Network (CNN) with Transfer Learning and Weighted Loss—0
Classification Of Automotive Targets Using Inverse Synthetic Aperture Radar Images—0
Classification of Beer Bottles using Object Detection and Transfer Learning—0
Classification of All Blood Cell Images using ML and DL Models—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