research
∙
04/04/2023
An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies
Inconsistency handling is an important issue in knowledge management. Es...
share
research
∙
06/25/2022
Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation
Axie infinity is a complicated card game with a huge-scale action space....
research
∙
07/28/2021
Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
In this work, we propose an adversarial unsupervised domain adaptation (...
research
∙
07/28/2021
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
There has been a growing interest in unsupervised domain adaptation (UDA...
research
∙
04/30/2021
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization
The widely-used cross-entropy (CE) loss-based deep networks achieved sig...
research
∙
11/04/2020
MBVI: Model-Based Value Initialization for Reinforcement Learning
Model-free reinforcement learning (RL) is capable of learning control po...
research
∙
10/21/2020
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Semantic segmentation (SS) is an important perception manner for self-dr...
research
∙
08/11/2020
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Semantic segmentation is important for many real-world systems, e.g., au...
research
∙
07/13/2020
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation
This paper targets on learning-based novel view synthesis from a single ...
research
∙
11/18/2019
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
AI Safety is a major concern in many deep learning applications such as ...
research
∙
08/03/2019