Summary of Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay For Finetuning Vision Transformers, by Zeyu Michael Li
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformersby Zeyu Michael…
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformersby Zeyu Michael…
Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Modelsby Mazen Balat, Rewaa…
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classificationby…
Machine Learning in Industrial Quality Control of Glass Bottle Printsby Maximilian Bundscherer, Thomas H. Schmitt,…
Machine Learning for Raman Spectroscopy-based Cyber-Marine Fish Biochemical Composition Analysisby Yun Zhou, Gang Chen, Bing…
Spectral Wavelet Dropout: Regularization in the Wavelet Domainby Rinor Cakaj, Jens Mehnert, Bin YangFirst submitted…
Understanding the Benefits of SimCLR Pre-Training in Two-Layer Convolutional Neural Networksby Han Zhang, Yuan CaoFirst…
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applicationsby Youyuan Liu, Wenqi Jia, Taolue Yang,…
A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gruby Chao Min, Yijia…
Remaining Useful Life Prediction for Batteries Utilizing an Explainable AI Approach with a Predictive Application…