112 research outputs found
Class based Influence Functions for Error Detection
Influence functions (IFs) are a powerful tool for detecting anomalous
examples in large scale datasets. However, they are unstable when applied to
deep networks. In this paper, we provide an explanation for the instability of
IFs and develop a solution to this problem. We show that IFs are unreliable
when the two data points belong to two different classes. Our solution
leverages class information to improve the stability of IFs. Extensive
experiments show that our modification significantly improves the performance
and stability of IFs while incurring no additional computational cost.Comment: Thang Nguyen-Duc, Hoang Thanh-Tung, and Quan Hung Tran are co-first
authors of this paper. 12 pages, 12 figures. Accepted to ACL 202
Flat Energy-Histogram Simulation of the Phase Transition in an Ising Fully Frustrated Lattice
We show in this paper the results on the phase transition of the so-called
fully frustrated simple cubic lattice with the Ising spin model. We use here
the Monte Carlo method with the flat energy-histogram Wang-Landau technique
which is very powerful to detect weak first-order phase transition. We show
that the phase transition is clearly of first order, providing a definite
answer to a question raised 25 years ago.Comment: Submitted for publicatio
A Review of Women's Entrepreneurship in Vietnam Taking into Account Socio-Cultural Norms and the Institutional Ecosystem
Is Chytridiomycosis an Emerging Infectious Disease in Asia?
The disease chytridiomycosis, caused by the fungus Batrachochytrium dendrobatidis (Bd), has caused dramatic amphibian population declines and extinctions in Australia, Central and North America, and Europe. Bd is associated with >200 species extinctions of amphibians, but not all species that become infected are susceptible to the disease. Specifically, Bd has rapidly emerged in some areas of the world, such as in Australia, USA, and throughout Central and South America, causing population and species collapse. The mechanism behind the rapid global emergence of the disease is poorly understood, in part due to an incomplete picture of the global distribution of Bd. At present, there is a considerable amount of geographic bias in survey effort for Bd, with Asia being the most neglected continent. To date, Bd surveys have been published for few Asian countries, and infected amphibians have been reported only from Indonesia, South Korea, China and Japan. Thus far, there have been no substantiated reports of enigmatic or suspected disease-caused population declines of the kind that has been attributed to Bd in other areas. In order to gain a more detailed picture of the distribution of Bd in Asia, we undertook a widespread, opportunistic survey of over 3,000 amphibians for Bd throughout Asia and adjoining Papua New Guinea. Survey sites spanned 15 countries, approximately 36° latitude, 111° longitude, and over 2000 m in elevation. Bd prevalence was very low throughout our survey area (2.35% overall) and infected animals were not clumped as would be expected in epizootic events. This suggests that Bd is either newly emerging in Asia, endemic at low prevalence, or that some other ecological factor is preventing Bd from fully invading Asian amphibians. The current observed pattern in Asia differs from that in many other parts of the world
Effect of herd size on subclinical infection of swine in Vietnam with influenza A viruses
Homodimeric β-Galactosidase from Lactobacillus delbrueckii subsp. bulgaricus DSM 20081: Expression in Lactobacillus plantarum and Biochemical Characterization
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