research
∙
03/17/2023
CoCoMo: Computational Consciousness Modeling for Generative and Ethical AI
The CoCoMo model proposes a computational solution to the challenge of i...
share
research
∙
12/27/2022
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions
The success of deep learning is largely due to the availability of large...
research
∙
06/11/2020
Hypernetwork-Based Augmentation
Data augmentation is an effective technique to improve the generalizatio...
research
∙
03/23/2020
Soteria: A Provably Compliant User Right Manager Using a Novel Two-Layer Blockchain Technology
Soteria is a user right management system designed to safeguard user-dat...
research
∙
08/20/2019
RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes
Multi-domain image-to-image translation has gained increasing attention ...
research
∙
05/30/2019
Effective Medical Test Suggestions Using Deep Reinforcement Learning
Effective medical test suggestions benefit both patients and physicians ...
research
∙
05/29/2019
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data
Performing supervised learning from the data synthesized by using Genera...
research
∙
05/29/2019
KG-GAN: Knowledge-Guided Generative Adversarial Networks
Generative adversarial networks (GANs) learn to mimic training data that...
research
∙
09/18/2018
MBS: Macroblock Scaling for CNN Model Reduction
We estimate the proper channel (width) scaling of Convolution Neural Net...
research
∙
07/16/2018
Backward Reduction of CNN Models with Information Flow Analysis
This paper proposes backward reduction, an algorithm that explores the c...
research
∙
08/10/2017
Distributed Training Large-Scale Deep Architectures
Scale of data and scale of computation infrastructures together enable t...
research
∙
07/25/2017
Representation Learning on Large and Small Data
Deep learning owes its success to three key factors: scale of data, enha...
research
∙
11/17/2014