The University of Melbourne

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Australia's Number One university and world leader in education, teaching and research excellence. We offer a vast range of coursework and research programs.

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

We consider the problem of publicly releasing a dataset for support vect...
12/29/2019 ∙ by Farhad Farokhi, et al. ∙ 43 ∙ share

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

Responding to the need for semantic lexical resources in natural languag...
11/27/2019 ∙ by Su Nam Kim, et al. ∙ 24 ∙ share

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Generating Semantic Adversarial Examples via Feature Manipulation

The vulnerability of deep neural networks to adversarial attacks has bee...
01/06/2020 ∙ by Shuo Wang, et al. ∙ 15 ∙ share

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Learning Coupled Policies for Simultaneous Machine Translation

In simultaneous machine translation, the system needs to incrementally g...
02/11/2020 ∙ by Philip Arthur, et al. ∙ 15 ∙ share

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Automated Discovery of Data Transformations for Robotic Process Automation

Robotic Process Automation (RPA) is a technology for automating repetiti...
01/03/2020 ∙ by Volodymyr Leno, et al. ∙ 14 ∙ share

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

Convolutional neural network (CNN) models for computer vision are powerf...
06/27/2020 ∙ by Ruihan Zhang, et al. ∙ 14 ∙ share

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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...
04/04/2021 ∙ by Shreya Ghosh, et al. ∙ 14 ∙ share

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

Anomaly detection aims to recognize samples with anomalous and unusual p...
01/18/2020 ∙ by Shuo Wang, et al. ∙ 12 ∙ share

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Clean-Label Backdoor Attacks on Video Recognition Models

Deep neural networks (DNNs) are vulnerable to backdoor attacks which can...
03/06/2020 ∙ by Shihao Zhao, et al. ∙ 11 ∙ share

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Reinforcement Learning for Autonomous Defence in Software-Defined Networking

Despite the successful application of machine learning (ML) in a wide ra...
08/17/2018 ∙ by Yi Han, et al. ∙ 8 ∙ share

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

Building height estimation is important in many applications such as 3D ...
04/25/2019 ∙ by Yunxiang Zhao, et al. ∙ 8 ∙ share

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

Computer vision techniques allow automated detection of sky pixels in ou...
10/08/2019 ∙ by Kerry A. Nice, et al. ∙ 8 ∙ share

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Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Recent studies have shown that DNNs can be compromised by backdoor attac...
07/05/2020 ∙ by Yunfei Liu, et al. ∙ 8 ∙ share

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

In response to the continuing research interest in computational semanti...
11/23/2019 ∙ by Iris Hendrickx, et al. ∙ 6 ∙ share

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Gaussian Process Priors for Dynamic Paired Comparison Modelling

Dynamic paired comparison models, such as Elo and Glicko, are frequently...
02/20/2019 ∙ by Martin Ingram, et al. ∙ 4 ∙ share

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Logic and the 2-Simplicial Transformer

We introduce the 2-simplicial Transformer, an extension of the Transform...
09/02/2019 ∙ by James Clift, et al. ∙ 4 ∙ share

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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...
10/03/2020 ∙ by Lingjuan Lyu, et al. ∙ 3 ∙ share

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Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness

Evaluating the robustness of a defense model is a challenging task in ad...
06/24/2020 ∙ by Linxi Jiang, et al. ∙ 1 ∙ share

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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...
12/02/2017 ∙ by Tim Miller, et al. ∙ 0 ∙ share

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Learning how to Active Learn: A Deep Reinforcement Learning Approach

Active learning aims to select a small subset of data for annotation suc...
08/08/2017 ∙ by Meng Fang, et al. ∙ 0 ∙ share

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

Artificial General Intelligence (AGI) or Strong AI aims to create machin...
07/28/2017 ∙ by Tansu Alpcan, et al. ∙ 0 ∙ share

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Outcome-Oriented Predictive Process Monitoring: Review and Benchmark

Predictive business process monitoring refers to the act of making predi...
07/21/2017 ∙ by Irene Teinemaa, et al. ∙ 0 ∙ share

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Word Representation Models for Morphologically Rich Languages in Neural Machine Translation

Dealing with the complex word forms in morphologically rich languages is...
06/14/2016 ∙ by Ekaterina Vylomova, et al. ∙ 0 ∙ share

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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...
06/13/2016 ∙ by Julien Perez, et al. ∙ 0 ∙ share

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Depth-Gated LSTM

In this short note, we present an extension of long short-term memory (L...
08/16/2015 ∙ by Kaisheng Yao, et al. ∙ 0 ∙ share

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

In many classification problems a classifier should be robust to small v...
02/16/2015 ∙ by Sergey Demyanov, et al. ∙ 0 ∙ share

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Towards Decoding as Continuous Optimization in Neural Machine Translation

We propose a novel decoding approach for neural machine translation (NMT...
01/11/2017 ∙ by Cong Duy Vu Hoang, et al. ∙ 0 ∙ share

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Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks

Despite the wide use of machine learning in adversarial settings includi...
04/06/2017 ∙ by Yi Han, et al. ∙ 0 ∙ share

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Unsupervised Basis Function Adaptation for Reinforcement Learning

When using reinforcement learning (RL) algorithms to evaluate a policy i...
03/23/2017 ∙ by Edward Barker, et al. ∙ 0 ∙ share

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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...
03/14/2016 ∙ by Seyed Morteza Mousavi, et al. ∙ 0 ∙ share

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Social planning for social HRI

Making a computational agent 'social' has implications for how it percei...
02/21/2016 ∙ by Liz Sonenberg, et al. ∙ 0 ∙ share

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On the Differential Privacy of Bayesian Inference

We study how to communicate findings of Bayesian inference to third part...
12/22/2015 ∙ by Zuhe Zhang, et al. ∙ 0 ∙ share

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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...
08/19/2016 ∙ by Yang Wang, et al. ∙ 0 ∙ share

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Unsatisfiable Cores and Lower Bounding for Constraint Programming

Constraint Programming (CP) solvers typically tackle optimization proble...
08/25/2015 ∙ by Nicholas Downing, et al. ∙ 0 ∙ share

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

This paper explores the suitability of using automatically discovered to...
07/29/2016 ∙ by Jiazhen He, et al. ∙ 0 ∙ share

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Ground Truth Bias in External Cluster Validity Indices

It has been noticed that some external CVIs exhibit a preferential bias ...
06/17/2016 ∙ by Yang Lei, et al. ∙ 0 ∙ share

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Bound Founded Answer Set Programming

Answer Set Programming (ASP) is a powerful modelling formalism that is v...
05/14/2014 ∙ by Rehan Abdul Aziz, et al. ∙ 0 ∙ share

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Grounding Bound Founded Answer Set Programs

To appear in Theory and Practice of Logic Programming (TPLP) Bound Fou...
05/14/2014 ∙ by Rehan Abdul Aziz, et al. ∙ 0 ∙ share

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Simulation leagues: Analysis of competition formats

The selection of an appropriate competition format is critical for both ...
03/17/2014 ∙ by David Budden, et al. ∙ 0 ∙ share

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On Redundant Topological Constraints

The Region Connection Calculus (RCC) is a well-known calculus for repres...
03/03/2014 ∙ by Sanjiang Li, et al. ∙ 0 ∙ share

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Adjusting for Chance Clustering Comparison Measures

Adjusted for chance measures are widely used to compare partitions/clust...
12/03/2015 ∙ by Simone Romano, et al. ∙ 0 ∙ share

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Unsatisfiable Cores for Constraint Programming

Constraint Programming (CP) solvers typically tackle optimization proble...
05/08/2013 ∙ by Nicholas Downing, et al. ∙ 0 ∙ share

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Multivariate Spearman's rho for aggregating ranks using copulas

We study the problem of rank aggregation: given a set of ranked lists, w...
10/16/2014 ∙ by Justin Bedo, et al. ∙ 0 ∙ share

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Bounding Embeddings of VC Classes into Maximum Classes

One of the earliest conjectures in computational learning theory-the Sam...
01/29/2014 ∙ by J. Hyam Rubinstein, et al. ∙ 0 ∙ share

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A Geometric Approach to Sample Compression

The Sample Compression Conjecture of Littlestone & Warmuth has remained ...
11/18/2009 ∙ by Benjamin I. P. Rubinstein, et al. ∙ 0 ∙ share

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A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

We introduce a novel embedding method for knowledge base completion task...
12/06/2017 ∙ by Dai Quoc Nguyen, et al. ∙ 0 ∙ share

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Analysis of Framelet Transforms on a Simplex

In this paper, we construct framelets associated with a sequence of quad...
01/06/2017 ∙ by Yu Guang Wang, et al. ∙ 0 ∙ share

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End-to-end Network for Twitter Geolocation Prediction and Hashing

We propose an end-to-end neural network to predict the geolocation of a ...
10/13/2017 ∙ by Jey Han Lau, et al. ∙ 0 ∙ share

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A Fast and Accurate Vietnamese Word Segmenter

We propose a novel approach to Vietnamese word segmentation. Our approac...
09/19/2017 ∙ by Dat Quoc Nguyen, et al. ∙ 0 ∙ share

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Paradigm Completion for Derivational Morphology

The generation of complex derived word forms has been an overlooked prob...
08/30/2017 ∙ by Ryan Cotterell, et al. ∙ 0 ∙ share

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