research
∙
07/12/2021
Trustworthy AI: A Computational Perspective
In the past few decades, artificial intelligence (AI) technology has exp...
share
research
∙
06/12/2021
AutoLoss: Automated Loss Function Search in Recommendations
Designing an effective loss function plays a crucial role in training de...
research
∙
05/06/2021
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
It is evident that deep text classification models trained on human data...
research
∙
02/18/2021
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving
Currently, urban autonomous driving remains challenging because of the c...
research
∙
10/31/2020
Personalized Multimodal Feedback Generation in Education
The automatic evaluation for school assignments is an important applicat...
research
∙
09/28/2020
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning
Dialogue systems play an increasingly important role in various aspects ...
research
∙
06/26/2020
Memory-efficient Embedding for Recommendations
Practical large-scale recommender systems usually contain thousands of f...
research
∙
06/17/2020
Self-supervised Learning on Graphs: Deep Insights and New Direction
The success of deep learning notoriously requires larger amounts of cost...
research
∙
05/27/2020
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models
Recently, neural network based dialogue systems have become ubiquitous i...
research
∙
05/16/2020
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms
Asking questions is one of the most crucial pedagogical techniques used ...
research
∙
10/16/2019
Does Gender Matter? Towards Fairness in Dialogue Systems
Recently there are increasing concerns about the fairness of Artificial ...
research
∙
09/17/2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
Deep neural networks (DNN) have achieved unprecedented success in numero...
research
∙
09/13/2019