37 citations · 72 across the 7 of their papers we have counts for
7 papers
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing
Ahmed Elnaggar, Wei Ding, Llion Jones +6
Currently, a growing number of mature natural language processing applications make people's life more convenient. Such applications are built by source code - the language in soft…
Learning a Proposal Classifier for Multiple Object Tracking
Peng Dai, Renliang Weng, Wongun Choi +3
The recent trend in multiple object tracking (MOT) is heading towards leveraging deep learning to boost the tracking performance. However, it is not trivial to solve the data-assoc…
Scale Normalization
Henry Z. Lo, Kevin Amaral, Wei Ding
One of the difficulties of training deep neural networks is caused by improper scaling between layers. Scaling issues introduce exploding / gradient problems, and have typically be…
RandomOut: Using a convolutional gradient norm to rescue convolutional filters
Joseph Paul Cohen, Henry Z. Lo, Wei Ding
Filters in convolutional neural networks are sensitive to their initialization. The random numbers used to initialize filters are a bias and determine if you will "win" and converg…
Crater Detection via Convolutional Neural Networks
Joseph Paul Cohen, Henry Z. Lo, Tingting Lu +1
Craters are among the most studied geomorphic features in the Solar System because they yield important information about the past and present geological processes and provide info…
The cost of reading research. A study of Computer Science publication venues
Joseph Paul Cohen, Carla Aravena, Wei Ding
What does the cost of academic publishing look like to the common researcher today? Our goal is to convey the current state of academic publishing, specifically in regards to the f…