Summary of Slca++: Unleash the Power Of Sequential Fine-tuning For Continual Learning with Pre-training, by Gengwei Zhang et al.
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-trainingby Gengwei Zhang, Liyuan…
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-trainingby Gengwei Zhang, Liyuan…
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Seriesby Weijia Zhang, Chenlong…
CON-FOLD – Explainable Machine Learning with Confidenceby Lachlan McGinness, Peter BaumgartnerFirst submitted to arxiv on:…
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretrainingby Audrey Der,…
Incremental Structure Discovery of Classification via Sequential Monte Carloby Changze Huang, Di WangFirst submitted to…
A Single Channel-Based Neonatal Sleep-Wake Classification using Hjorth Parameters and Improved Gradient Boostingby Muhammad Arslan,…
A Deep Features-Based Approach Using Modified ResNet50 and Gradient Boosting for Visual Sentiments Classificationby Muhammad…
Robust Offline Active Learning on Graphsby Yuanchen Wu, Yubai YuanFirst submitted to arxiv on: 15…
A Spitting Image: Modular Superpixel Tokenization in Vision Transformersby Marius Aasan, Odd Kolbjørnsen, Anne Schistad…
Graph neural network surrogate for strategic transport planningby Nikita Makarov, Santhanakrishnan Narayanan, Constantinos AntoniouFirst submitted…