Summary of Reducing Bias in Deep Learning Optimization: the Rsgdm Approach, by Honglin Qin et al.
Reducing Bias in Deep Learning Optimization: The RSGDM Approachby Honglin Qin, Hongye Zheng, Bingxing Wang,…
Reducing Bias in Deep Learning Optimization: The RSGDM Approachby Honglin Qin, Hongye Zheng, Bingxing Wang,…
VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edgeby Alessio Mascolini, Sebastiano Gaiardelli,…
TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Mapsby Arjun Raj, Lei Wang, Tom…
Adaptive Feedforward Gradient Estimation in Neural ODEsby Jaouad DabounouFirst submitted to arxiv on: 22 Sep…
Component-based Sketching for Deep ReLU Netsby Di Wang, Shao-Bo Lin, Deyu Meng, Feilong CaoFirst submitted…
A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filteringby…
Deep learning for fast segmentation and critical dimension metrology & characterization enabling AR/VR design and…
BRep Boundary and Junction Detection for CAD Reverse Engineeringby Sk Aziz Ali, Mohammad Sadil Khan,…
Recent Advances in Non-convex Smoothness Conditions and Applicability to Deep Linear Neural Networksby Vivak Patel,…
Learning to Generalize Unseen Domains via Multi-Source Meta Learning for Text Classificationby Yuxuan Hu, Chenwei…