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06/23/2023
Penalty Gradient Normalization for Generative Adversarial Networks
In this paper, we propose a novel normalization method called penalty gr...
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05/23/2022
Causal Machine Learning for Healthcare and Precision Medicine
Causal machine learning (CML) has experienced increasing popularity in h...
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03/15/2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification
Data augmentation has been widely used in deep learning to reduce over-f...
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03/07/2022
Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces
This paper contributes to a taxonomy of augmented reality and robotics b...
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11/18/2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Artificial intelligence (AI) provides a promising substitution for strea...
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12/22/2020
Deep Multi-attribute Graph Representation Learning on Protein Structures
Graphs as a type of data structure have recently attracted significant a...
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03/04/2020
AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment
Targeting at both high efficiency and performance, we propose AlignTTS t...
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12/04/2019
Learning to synthesise the ageing brain without longitudinal data
Brain ageing is a continuous process that is affected by many factors in...
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09/19/2019
Multi-Robot Deep Reinforcement Learning with Macro-Actions
In many real-world multi-robot tasks, high-quality solutions often requi...
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09/15/2019
A simple discriminative training method for machine translation with large-scale features
Margin infused relaxed algorithms (MIRAs) dominate model tuning in stati...
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09/15/2019
Plackett-Luce model for learning-to-rank task
List-wise based learning to rank methods are generally supposed to have ...
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09/12/2019
Analysis of Regression Tree Fitting Algorithms in Learning to Rank
In learning to rank area, industry-level applications have been dominate...
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05/16/2019
RGB-T Image Saliency Detection via Collaborative Graph Learning
Image saliency detection is an active research topic in the community of...
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01/10/2019
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
Pseudo healthy synthesis, i.e. the creation of a subject-specific `healt...
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11/23/2016
Multi-View 3D Object Detection Network for Autonomous Driving
This paper aims at high-accuracy 3D object detection in autonomous drivi...
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08/29/2016
Vehicle Detection from 3D Lidar Using Fully Convolutional Network
Convolutional network techniques have recently achieved great success in...
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03/22/2016