The University of Melbourne

research

∙ 12/29/2019

Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification

We consider the problem of publicly releasing a dataset for support vect...

Farhad Farokhi, et al. ∙

research

∙ 11/27/2019

Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus

Responding to the need for semantic lexical resources in natural languag...

Su Nam Kim, et al. ∙

research

∙ 01/06/2020

Generating Semantic Adversarial Examples via Feature Manipulation

The vulnerability of deep neural networks to adversarial attacks has bee...

Shuo Wang, et al. ∙

research

∙ 02/11/2020

Learning Coupled Policies for Simultaneous Machine Translation

In simultaneous machine translation, the system needs to incrementally g...

Philip Arthur, et al. ∙

research

∙ 01/30/2022

Augmented Business Process Management Systems: A Research Manifesto

Augmented Business Process Management Systems (ABPMSs) are an emerging c...

Marlon Dumas, et al. ∙

research

∙ 01/03/2020

Automated Discovery of Data Transformations for Robotic Process Automation

Robotic Process Automation (RPA) is a technology for automating repetiti...

Volodymyr Leno, et al. ∙

research

∙ 06/27/2020

Improving Interpretability of CNN Models Using Non-Negative Concept Activation Vectors

Convolutional neural network (CNN) models for computer vision are powerf...

Ruihan Zhang, et al. ∙

research

∙ 04/04/2021

STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management

Several researches and evidence show the increasing likelihood of pandem...

Shreya Ghosh, et al. ∙

research

∙ 01/18/2020

OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning

Anomaly detection aims to recognize samples with anomalous and unusual p...

Shuo Wang, et al. ∙

research

∙ 03/06/2020

Clean-Label Backdoor Attacks on Video Recognition Models

Deep neural networks (DNNs) are vulnerable to backdoor attacks which can...

Shihao Zhao, et al. ∙

research

∙ 11/19/2021

Medical Visual Question Answering: A Survey

Medical Visual Question Answering (VQA) is a combination of medical arti...

Zhihong Lin, et al. ∙

research

∙ 08/17/2018

Reinforcement Learning for Autonomous Defence in Software-Defined Networking

Despite the successful application of machine learning (ML) in a wide ra...

Yi Han, et al. ∙

research

∙ 04/25/2019

CBHE: Corner-based Building Height Estimation for Complex Street Scene Images

Building height estimation is important in many applications such as 3D ...

Yunxiang Zhao, et al. ∙

research

∙ 10/08/2019

Sky pixel detection in outdoor imagery using an adaptive algorithm and machine learning

Computer vision techniques allow automated detection of sky pixels in ou...

Kerry A. Nice, et al. ∙

research

∙ 07/05/2020

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Recent studies have shown that DNNs can be compromised by backdoor attac...

Yunfei Liu, et al. ∙

research

∙ 11/23/2019

SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals

In response to the continuing research interest in computational semanti...

Iris Hendrickx, et al. ∙

research

∙ 10/11/2021

HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing

The worldwide adoption of cloud data centers (CDCs) has given rise to th...

Shreshth Tuli, et al. ∙

research

∙ 09/14/2021

KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning

Pre-trained language models have led to substantial gains over a broad r...

Haonan Li, et al. ∙

research

∙ 12/27/2021

Video Joint Modelling Based on Hierarchical Transformer for Co-summarization

Video summarization aims to automatically generate a summary (storyboard...

Li Haopeng, et al. ∙

research

∙ 01/21/2022

Conversational Information Seeking

Conversational information seeking (CIS) is concerned with a sequence of...

Hamed Zamani, et al. ∙

research

∙ 02/20/2019

Gaussian Process Priors for Dynamic Paired Comparison Modelling

Dynamic paired comparison models, such as Elo and Glicko, are frequently...

Martin Ingram, et al. ∙

research

∙ 09/02/2019

Logic and the 2-Simplicial Transformer

We introduce the 2-simplicial Transformer, an extension of the Transform...

James Clift, et al. ∙

research

∙ 08/18/2021

The Multi-Modal Video Reasoning and Analyzing Competition

In this paper, we introduce the Multi-Modal Video Reasoning and Analyzin...

Haoran Peng, et al. ∙

research

∙ 10/03/2020

Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness

It has been demonstrated that hidden representation learned by a deep mo...

Lingjuan Lyu, et al. ∙

research

∙ 07/12/2021

Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning

Neural machine translation systems are known to be vulnerable to adversa...

Jun Wang, et al. ∙

research

∙ 08/12/2021

Automatic Gaze Analysis: A Survey of DeepLearning based Approaches

Eye gaze analysis is an important research problem in the field of compu...

Shreya Ghosh, et al. ∙

research

∙ 06/24/2020

Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness

Evaluating the robustness of a defense model is a challenging task in ad...

Linxi Jiang, et al. ∙

research

∙ 08/22/2021

Rainfall-runoff prediction using a Gustafson-Kessel clustering based Takagi-Sugeno Fuzzy model

A rainfall-runoff model predicts surface runoff either using a physicall...

Subhrasankha Dey, et al. ∙

research

∙ 10/23/2021

MTGLS: Multi-Task Gaze Estimation with Limited Supervision

Robust gaze estimation is a challenging task, even for deep CNNs, due to...

Shreya Ghosh, et al. ∙

research

∙ 12/27/2021

ViR:the Vision Reservoir

The most recent year has witnessed the success of applying the Vision Tr...

Xian Wei, et al. ∙

research

∙ 12/02/2017

Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences

In his seminal book `The Inmates are Running the Asylum: Why High-Tech P...

Tim Miller, et al. ∙

research

∙ 08/08/2017

Learning how to Active Learn: A Deep Reinforcement Learning Approach

Active learning aims to select a small subset of data for annotation suc...

Meng Fang, et al. ∙

research

∙ 07/28/2017

Toward the Starting Line: A Systems Engineering Approach to Strong AI

Artificial General Intelligence (AGI) or Strong AI aims to create machin...

Tansu Alpcan, et al. ∙

research

∙ 07/21/2017

Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Predictive business process monitoring refers to the act of making predi...

Irene Teinemaa, et al. ∙

research

∙ 06/14/2016

Word Representation Models for Morphologically Rich Languages in Neural Machine Translation

Dealing with the complex word forms in morphologically rich languages is...

Ekaterina Vylomova, et al. ∙

research

∙ 06/13/2016

Dialog state tracking, a machine reading approach using Memory Network

In an end-to-end dialog system, the aim of dialog state tracking is to a...

Julien Perez, et al. ∙

research

∙ 08/16/2015

Depth-Gated LSTM

In this short note, we present an extension of long short-term memory (L...

Kaisheng Yao, et al. ∙

research

∙ 02/16/2015

Invariant backpropagation: how to train a transformation-invariant neural network

In many classification problems a classifier should be robust to small v...

Sergey Demyanov, et al. ∙

research

∙ 01/11/2017

Towards Decoding as Continuous Optimization in Neural Machine Translation

We propose a novel decoding approach for neural machine translation (NMT...

Cong Duy Vu Hoang, et al. ∙

research

∙ 04/06/2017

Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks

Despite the wide use of machine learning in adversarial settings includi...

Yi Han, et al. ∙

research

∙ 03/23/2017

Unsupervised Basis Function Adaptation for Reinforcement Learning

When using reinforcement learning (RL) algorithms to evaluate a policy i...

Edward Barker, et al. ∙

research

∙ 03/14/2016

Geometry of Interest (GOI): Spatio-Temporal Destination Extraction and Partitioning in GPS Trajectory Data

Nowadays large amounts of GPS trajectory data is being continuously coll...

Seyed Morteza Mousavi, et al. ∙

research

∙ 02/21/2016

Social planning for social HRI

Making a computational agent 'social' has implications for how it percei...

Liz Sonenberg, et al. ∙

research

∙ 12/22/2015

On the Differential Privacy of Bayesian Inference

We study how to communicate findings of Bayesian inference to third part...

Zuhe Zhang, et al. ∙

research

∙ 08/19/2016

Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering

Multi-view spectral clustering, which aims at yielding an agreement or c...

Yang Wang, et al. ∙

research

∙ 08/25/2015

Unsatisfiable Cores and Lower Bounding for Constraint Programming

Constraint Programming (CP) solvers typically tackle optimization proble...

Nicholas Downing, et al. ∙

research

∙ 07/29/2016

TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs

This paper explores the suitability of using automatically discovered to...

Jiazhen He, et al. ∙

research

∙ 06/17/2016

Ground Truth Bias in External Cluster Validity Indices

It has been noticed that some external CVIs exhibit a preferential bias ...

Yang Lei, et al. ∙

research

∙ 05/14/2014

Bound Founded Answer Set Programming

Answer Set Programming (ASP) is a powerful modelling formalism that is v...

Rehan Abdul Aziz, et al. ∙

research

∙ 05/14/2014

Grounding Bound Founded Answer Set Programs

To appear in Theory and Practice of Logic Programming (TPLP) Bound Fou...

Rehan Abdul Aziz, et al. ∙

The University of Melbourne

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