Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Kanthan, Leslie"'
Autor:
Li, Lingbo, Kanthan, Leslie, Basios, Michail, Wu, Fan, Adham, Manal, Avagyan, Vitali, Butler, Alexis, Brookes, Paul, Giavrimis, Rafail, Liu, Buhong, Pavlou, Chrystalla, Truscott, Matthew, Voskanyan, Vardan
Machine learning model development and optimisation can be a rather cumbersome and resource-intensive process. Custom models are often more difficult to build and deploy, and they require infrastructure and expertise which are often costly to acquire
Externí odkaz:
http://arxiv.org/abs/2212.10671
Autor:
Rahman, Wahidur, Xu, Yisen, Pu, Fan, Xuan, Jifeng, Jia, Xiangyang, Basios, Michail, Kanthan, Leslie, Li, Lingbo, Wu, Fan, Xu, Baowen
Code clones are identical or similar code segments. The wide existence of code clones can increase the cost of maintenance and jeopardise the quality of software. The research community has developed many techniques to detect code clones, however, th
Externí odkaz:
http://arxiv.org/abs/2204.04247
Universal Adversarial Perturbations (UAPs) are a prominent class of adversarial examples that exploit the systemic vulnerabilities and enable physically realizable and robust attacks against Deep Neural Networks (DNNs). UAPs generalize across many di
Externí odkaz:
http://arxiv.org/abs/2105.07334
Feature importance aims at measuring how crucial each input feature is for model prediction. It is widely used in feature engineering, model selection and explainable artificial intelligence (XAI). In this paper, we propose a new tree-model explanati
Externí odkaz:
http://arxiv.org/abs/2009.07708
Hyperparameter optimisation is a crucial process in searching the optimal machine learning model. The efficiency of finding the optimal hyperparameter settings has been a big concern in recent researches since the optimisation process could be time-c
Externí odkaz:
http://arxiv.org/abs/2009.06390
Autor:
Fang, Fan, Ventre, Carmine, Basios, Michail, Kanthan, Leslie, Li, Lingbo, Martinez-Regoband, David, Wu, Fan
In recent years, the tendency of the number of financial institutions including cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital assets to be included by asset managers. Although they have some commona
Externí odkaz:
http://arxiv.org/abs/2003.11352
Autor:
Fang, Fan, Chung, Waichung, Ventre, Carmine, Basios, Michail, Kanthan, Leslie, Li, Lingbo, Wu, Fan
The cryptocurrency market is amongst the fastest-growing of all the financial markets in the world. Unlike traditional markets, such as equities, foreign exchange and commodities, cryptocurrency market is considered to have larger volatility and illi
Externí odkaz:
http://arxiv.org/abs/2003.00803
Increasing shape-bias in deep neural networks has been shown to improve robustness to common corruptions and noise. In this paper we analyze the adversarial robustness of texture and shape-biased models to Universal Adversarial Perturbations (UAPs).
Externí odkaz:
http://arxiv.org/abs/1911.10364
We propose a simpler derivation of the probability density function of Feller Diffusion using the Fourier Transform and solving the resulting equation via the Method of Characteristics. We also discuss simulation algorithms and confirm key properties
Externí odkaz:
http://arxiv.org/abs/1905.10737
Publikováno v:
26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC FSE 18) November 2018, Lake Buena Vista, FL, USA
Data structure selection and tuning is laborious but can vastly improve an application's performance and memory footprint. Some data structures share a common interface and enjoy multiple implementations. We call them Darwinian Data Structures (DDS),
Externí odkaz:
http://arxiv.org/abs/1706.03232