22 citations · 36 across the 4 of their papers we have counts for
7 papers
Set Based Stochastic Subsampling
Bruno Andreis, Seanie Lee, A. Tuan Nguyen +3
Deep models are designed to operate on huge volumes of high dimensional data such as images. In order to reduce the volume of data these models must process, we propose a set-based…
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
A. Tuan Nguyen, Hyewon Jeong, Eunho Yang +1
Although recent multi-task learning methods have shown to be effective in improving the generalization of deep neural networks, they should be used with caution for safety-critical…
Deep Learning Approach for Receipt Recognition
Anh Duc Le, Dung Van Pham, Tuan Anh Nguyen
Inspired by the recent successes of deep learning on Computer Vision and Natural Language Processing, we present a deep learning approach for recognizing scanned receipts. The reco…
Herding the Crowd: Automated Planning for Crowdsourced Planning
Kartik Talamadupula, Subbarao Kambhampati
There has been significant interest in crowdsourcing and human computation. One subclass of human computation applications are those directed at tasks that involve planning (e.g. t…
Model-Lite Case-Based Planning
Hankz Hankui Zhuo, Subbarao Kambhampati, Tuan Nguyen
There is increasing awareness in the planning community that depending on complete models impedes the applicability of planning technology in many real world domains where the burd…
Synthesizing Robust Plans under Incomplete Domain Models
Tuan Nguyen, Subbarao Kambhampati, Minh Do
Most current planners assume complete domain models and focus on generating correct plans. Unfortunately, domain modeling is a laborious and error-prone task. While domain experts…