University of Technology Sydney

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Modern strategies for time series regression

This paper discusses several modern approaches to regression analysis in...
10/29/2020 ∙ by Stephanie Clark, et al. ∙ 47 ∙ share

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Transform-Invariant Convolutional Neural Networks for Image Classification and Search

Convolutional neural networks (CNNs) have achieved state-of-the-art resu...
11/28/2019 ∙ by Xu Shen, et al. ∙ 32 ∙ share

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Interpretable Time-series Classification on Few-shot Samples

Recent few-shot learning works focus on training a model with prior meta...
06/03/2020 ∙ by Wensi Tang, et al. ∙ 29 ∙ share

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Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

Weakly supervised semantic segmentation is a challenging task as it only...
11/19/2019 ∙ by Bingfeng Zhang, et al. ∙ 27 ∙ share

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Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

Recently, practical applications for passenger flow prediction have brou...
12/07/2019 ∙ by Yongshun Gong, et al. ∙ 24 ∙ share

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Heterogeneous Multi-task Metric Learning across Multiple Domains

Distance metric learning (DML) plays a crucial role in diverse machine l...
04/08/2019 ∙ by Yong Luo, et al. ∙ 22 ∙ share

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Large Margin Multi-modal Multi-task Feature Extraction for Image Classification

The features used in many image analysis-based applications are frequent...
04/08/2019 ∙ by Yong Luo, et al. ∙ 20 ∙ share

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Shakeout: A New Approach to Regularized Deep Neural Network Training

Recent years have witnessed the success of deep neural networks in deali...
04/13/2019 ∙ by Guoliang Kang, et al. ∙ 20 ∙ share

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Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification

In this paper, we present correlated logistic (CorrLog) model for multil...
04/17/2019 ∙ by Qiang Li, et al. ∙ 18 ∙ share

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Searching for A Robust Neural Architecture in Four GPU Hours

Conventional neural architecture search (NAS) approaches are based on re...
10/10/2019 ∙ by Xuanyi Dong, et al. ∙ 18 ∙ share

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Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation

In the unsupervised open set domain adaptation (UOSDA), the target domai...
06/23/2020 ∙ by Li Zhong, et al. ∙ 17 ∙ share

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Continuous Dropout

Dropout has been proven to be an effective algorithm for training robust...
11/28/2019 ∙ by Xu Shen, et al. ∙ 16 ∙ share

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More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

Artificial Intelligence (AI) has attracted a great deal of attention in ...
08/05/2020 ∙ by Tianqing Zhu, et al. ∙ 16 ∙ share

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See More Than Once -- Kernel-Sharing Atrous Convolution for Semantic Segmentation

The state-of-the-art semantic segmentation solutions usually leverage di...
08/26/2019 ∙ by Ye Huang, et al. ∙ 15 ∙ share

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Cubic LSTMs for Video Prediction

Predicting future frames in videos has become a promising direction of r...
04/20/2019 ∙ by Hehe Fan, et al. ∙ 14 ∙ share

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PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting

Crowd counting, i.e., estimating the number of people in a crowded area,...
01/16/2020 ∙ by Saeed Amirgholipour, et al. ∙ 14 ∙ share

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On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization

In recent years, a critical initialization scheme with orthogonal initia...
04/13/2020 ∙ by Wei Huang, et al. ∙ 14 ∙ share

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Binarized Graph Neural Network

Recently, there have been some breakthroughs in graph analysis by applyi...
04/19/2020 ∙ by Hanchen Wang, et al. ∙ 14 ∙ share

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Unsupervised Scene Adaptation with Memory Regularization in vivo

We consider the unsupervised scene adaptation problem of learning from b...
12/24/2019 ∙ by Zhedong Zheng, et al. ∙ 13 ∙ share

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RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network

Generative adversarial network (GAN) has attracted increasing attention ...
07/04/2020 ∙ by Chuan Ma, et al. ∙ 13 ∙ share

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Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search

The goal of person search is to localize and match query persons from sc...
02/22/2021 ∙ by Chuchu Han, et al. ∙ 13 ∙ share

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Instance-Invariant Adaptive Object Detection via Progressive Disentanglement

Most state-of-the-art methods of object detection suffer from poor gener...
11/20/2019 ∙ by Aming Wu, et al. ∙ 11 ∙ share

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Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems

Context-aware recommender systems (CARS) have gained increasing attentio...
12/19/2019 ∙ by Wei Huang, et al. ∙ 11 ∙ share

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Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction

Dimensionality reduction is an important operation in information visual...
01/09/2020 ∙ by Zhenhua Shi, et al. ∙ 11 ∙ share

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Multi-View Intact Space Learning

It is practical to assume that an individual view is unlikely to be suff...
04/04/2019 ∙ by Chang Xu, et al. ∙ 10 ∙ share

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Learning to Transfer Learn

We propose a novel framework, learning to transfer learn (L2TL), to impr...
08/29/2019 ∙ by Linchao Zhu, et al. ∙ 10 ∙ share

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Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation

This paper focuses on the unsupervised domain adaptation of transferring...
03/08/2020 ∙ by Zhedong Zheng, et al. ∙ 10 ∙ share

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Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

Interactive video object segmentation (iVOS) aims at efficiently harvest...
03/30/2020 ∙ by Jiaxu Miao, et al. ∙ 10 ∙ share

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Multi-Center Federated Learning

Federated learning has received great attention for its capability to tr...
05/03/2020 ∙ by Ming Xie, et al. ∙ 10 ∙ share

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Path Integral Based Convolution and Pooling for Graph Neural Networks

Graph neural networks (GNNs) extends the functionality of traditional ne...
06/29/2020 ∙ by Zheng Ma, et al. ∙ 10 ∙ share

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Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions

Brain Computer Interface technologies are popular methods of communicati...
01/18/2021 ∙ by Javier Fumanal-Idocin, et al. ∙ 10 ∙ share

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Understanding Human Context in 3D Scenes by Learning Spatial Affordances with Virtual Skeleton Models

Robots are often required to operate in environments where humans are no...
06/13/2019 ∙ by Lasitha Piyathilaka, et al. ∙ 9 ∙ share

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TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples

The challenges of high intra-class variance yet low inter-class fluctuat...
05/28/2020 ∙ by Huaxi Huang, et al. ∙ 9 ∙ share

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Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels

It is challenging to train deep neural networks robustly on the industri...
09/28/2018 ∙ by Bo Han, et al. ∙ 8 ∙ share

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BIT: Biologically Inspired Tracker

Visual tracking is challenging due to image variations caused by various...
04/23/2019 ∙ by Bolun Cai, et al. ∙ 8 ∙ share

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Face Hallucination with Finishing Touches

Obtaining a high-quality frontal face image from a low-resolution (LR) n...
02/09/2020 ∙ by Yang Zhang, et al. ∙ 8 ∙ share

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Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy

Traditional tensor decomposition methods, e.g., two dimensional principa...
05/10/2020 ∙ by Miaohua Zhang, et al. ∙ 8 ∙ share

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How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?

Unsupervised domain adaptation (UDA) aims to train a target classifier w...
12/30/2020 ∙ by Li Zhong, et al. ∙ 8 ∙ share

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Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) addresses the problem of performanc...
05/11/2019 ∙ by Songsong Wu, et al. ∙ 7 ∙ share

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A Distributed Approach towards Discriminative Distance Metric Learning

Distance metric learning is successful in discovering intrinsic relation...
05/11/2019 ∙ by Jun Li, et al. ∙ 7 ∙ share

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Domain-adversarial Network Alignment

Network alignment is a critical task to a wide variety of fields. Many e...
08/15/2019 ∙ by Huiting Hong, et al. ∙ 7 ∙ share

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SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification

Cross-domain person re-identification (re-ID) is challenging due to the ...
08/24/2019 ∙ by Yan Huang, et al. ∙ 7 ∙ share

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Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation

Interactive recommendation aims to learn from dynamic interactions betwe...
04/17/2020 ∙ by Xiaocong Chen, et al. ∙ 7 ∙ share

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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Modeling complex spatial and temporal correlations in the correlated tim...
07/06/2020 ∙ by Lei Bai, et al. ∙ 7 ∙ share

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Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes

Few-shot segmentation (FSS) performance has been extensively promoted by...
06/01/2021 ∙ by Jian-Wei Zhang, et al. ∙ 7 ∙ share

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Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

A variety of machine learning applications expect to achieve rapid learn...
05/10/2019 ∙ by Lu Liu, et al. ∙ 6 ∙ share

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Very Long Natural Scenery Image Prediction by Outpainting

Comparing to image inpainting, image outpainting receives less attention...
12/29/2019 ∙ by Zongxin Yang, et al. ∙ 6 ∙ share

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Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory

3D shape reconstruction from a single-view RGB image is an ill-posed pro...
03/08/2020 ∙ by Shuo Yang, et al. ∙ 6 ∙ share

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GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency

Since detecting and recognizing individual human or object are not adequ...
03/11/2020 ∙ by Dongming Yang, et al. ∙ 6 ∙ share

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Probabilistic CCA with Implicit Distributions

Canonical Correlation Analysis (CCA) is a classic technique for multi-vi...
07/04/2019 ∙ by Yaxin Shi, et al. ∙ 5 ∙ share

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