Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid
and Tanh Function

Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function

7 August 2024

Papers citing "Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function"

18 / 18 papers shown

Title
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Jiacheng Hu Zhen Qi Jianjun Wei Jiajing Chen Runyuan Bao Xinyu Qiu 80 2 0 04 Dec 2024
Deep Learning with HM-VGG: AI Strategies for Multi-modal Image Analysis Junliang Du Yiru Cang Tong Zhou Jiacheng Hu Weijie He 48 8 0 31 Oct 2024
Deep Learning for Medical Text Processing: BERT Model Fine-Tuning and Comparative Study Jiacheng Hu Yiru Cang Guiran Liu Meiqi Wang Weijie He Runyuan Bao MedIm AI4MH 48 9 0 28 Oct 2024
Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms Haowei Yang Zhan Cheng Zhaoyang Zhang Yuanshuai Luo Shuaishuai Huang Ao Xiang 41 3 0 25 Oct 2024
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks Jianjun Wei Yue Liu Xin Huang Xin Zhang Wenyi Liu Xu Yan SSL 29 36 0 23 Oct 2024
A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining Wenyi Liu Rui Wang Yuanshuai Luo Jianjun Wei Zihao Zhao Junming Huang 34 9 0 19 Oct 2024
Automated Genre-Aware Article Scoring and Feedback Using Large Language Models Chihang Wang Yuxin Dong Zhenhong Zhang Ruotong Wang Shuo Wang Jiajing Chen 31 6 0 18 Oct 2024
Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation Houze Liu Bo Zhang Yanlin Xiang Yuxiang Hu Aoran Shen Yang Lin MedIm 47 10 0 17 Oct 2024
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications Shaobo Liu Guiran Liu Binrong Zhu Yuanshuai Luo Linxiao Wu Rui Wang 40 8 0 11 Oct 2024
Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis Mengfang Sun Wenying Sun Ying Sun Shaobo Liu Mohan Jiang Zhen Xu GNN 36 8 0 05 Oct 2024
Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment Bingyao Liu Iris Li Jianhua Yao Yuan Chen Guanming Huang Jiajing Wang 34 9 0 23 Sep 2024
Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing Bingyao Liu Jiajing Chen Rui Wang Junming Huang Yuanshuai Luo Jianjun Wei 34 9 0 23 Sep 2024
Graph Neural Network Framework for Sentiment Analysis Using Syntactic Feature Linxiao Wu Yuanshuai Luo Binrong Zhu Guiran Liu Rui Wang Qian Yu 34 7 0 21 Sep 2024
Contrastive Learning for Knowledge-Based Question Generation in Large Language Models Zhenhong Zhang Jiajing Chen Weiyan Shi Lingjie Yi Chihang Wang Qian Yu 31 9 0 21 Sep 2024
Deep Learning-Based Channel Squeeze U-Structure for Lung Nodule Detection and Segmentation Mingxiu Sui Jiacheng Hu Tong Zhou Zibo Liu Likang Wen Junliang Du 33 7 0 20 Sep 2024
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection Weijie He Runyuan Bao Yiru Cang Jianjun Wei Yang Zhang Jiacheng Hu ViT MedIm 34 5 0 18 Sep 2024
MT2ST: Adaptive Multi-Task to Single-Task Learning Dong Liu Meng Jiang 39 13 0 26 Jun 2024
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data Lingxi Xiao Muqing Li Yinqiu Feng Meiqi Wang Ziyi Zhu Zexi Chen 34 16 0 23 May 2024