no code implementations • 2 Nov 2022 • Davin Jeong, Allison Gunby-Mann, Sarel Cohen, Maximilian Katzmann, Chau Pham, Arnav Bhakta, Tobias Friedrich, Sang Chin
More specifically, we utilize the combinatorial structure of replacement paths as a concatenation of shortest paths and use deep learning to find the pivot nodes for stitching shortest paths into replacement paths.
no code implementations • 16 May 2022 • Hieu Le, Taufiq Daryanto, Fabian Zhafransyah, Derry Wijaya, Elizabeth Coppock, Sang Chin
This paper focuses on a referring expression generation (REG) task in which the aim is to pick out an object in a complex visual scene.
no code implementations • NeurIPS Workshop LMCA 2020 • Andrzej Banburski, Anshula Gandhi, Simon Alford, Sylee Dandekar, Sang Chin, tomaso a poggio
We argue that this can be achieved by a modular system –– one that can adapt to solving different problems by changing only the modules chosen and the order in which those modules are applied to the problem.
no code implementations • 28 Jan 2020 • Shan Huang, Xiao Zhou, Sang Chin
We demonstrate the implementations of pyramid encoders in both multi-layer GRU and Transformer for seq2seq tasks.
Software Engineering
no code implementations • 3 Jun 2019 • Louis Jensen, Jacob Harer, Sang Chin
Determining an appropriate number of features for each layer in a neural network is an important and difficult task.
no code implementations • 12 Aug 2017 • Akshay Rangamani, Anirbit Mukherjee, Amitabh Basu, Tejaswini Ganapathy, Ashish Arora, Sang Chin, Trac. D. Tran
This property holds independent of the loss function.
no code implementations • 1 Jun 2014 • Paul Bendich, Sang Chin, Jesse Clarke, Jonathan deSena, John Harer, Elizabeth Munch, Andrew Newman, David Porter, David Rouse, Nate Strawn, Adam Watkins
We introduce the first unified theory for target tracking using Multiple Hypothesis Tracking, Topological Data Analysis, and machine learning.