6 citations · 7 across the 4 of their papers we have counts for
4 papers
Towards Reliable Neural Specifications
Chuqin Geng, Nham Le, Xiaojie Xu +3
Having reliable specifications is an unavoidable challenge in achieving verifiable correctness, robustness, and interpretability of AI systems. Existing specifications for neural n…
AutoNLU: An On-demand Cloud-based Natural Language Understanding System for Enterprises
Nham Le, Tuan Lai, Trung Bui +1
With the renaissance of deep learning, neural networks have achieved promising results on many natural language understanding (NLU) tasks. Even though the source codes of many neur…
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering
Quan Tran, Nhan Dam, Tuan Lai +4
Interpretability and explainability of deep neural networks are challenging due to their scale, complexity, and the agreeable notions on which the explaining process rests. Previou…
A System for Automated Image Editing from Natural Language Commands
Jacqueline Brixey, Ramesh Manuvinakurike, Nham Le +3
This work presents the task of modifying images in an image editing program using natural language written commands. We utilize a corpus of over 6000 image edit text requests to al…