Results 31 to 40 of about 1,395,619 (258)
Noise Contrastive Variational Autoencoders
We take steps towards understanding the "posterior collapse (PC)" difficulty in variational autoencoders (VAEs),~i.e. a degenerate optimum in which the latent codes become independent of their corresponding inputs. We rely on calculus of variations and theoretically explore a few popular VAE models, showing that PC always occurs for non-parametric ...
Ganea, Octavian-Eugen +2 more
openaire +3 more sources
Variation in male signal production has been extensively studied because of its relevance to animal communication and sexual selection. Although we now know much about the mechanisms that can lead to variation between males in the properties of their ...
Kelly L. Ronald +4 more
doaj +1 more source
Superimposition of illusory patterns with contrast variations
In psychophysical experiments, a perceived length matching task was performed. The stimuli were made of two spatially superimposed illusory figures that differed in structure and luminance contrast but had the same length and coincided precisely, with their ends matched. The contrast of one of the figures was fixed, and that of the other varied.
Bulatov, Aleksandr +1 more
openaire +3 more sources
Toward Nanodisc Tailoring for SANS Study of Membrane Proteins
Although membrane proteins are of major importance in both physiology and disease, they remain less studied than soluble proteins due to the complex amphiphilic environments required to preserve their structure and function.
Krishna Chaithanya Batchu +2 more
doaj +1 more source
When the Easy Becomes Difficult: Factors Affecting the Acquisition of the English /iː/-/ɪ/ Contrast
The degree of similarity between the sounds of a speaker’s first and second language (L1 and L2) is believed to determine the likelihood of accurate perception and production of the L2 sounds. This paper explores the relationship between cross-linguistic
Juli Cebrian +2 more
doaj +1 more source
Fully Variational Noise-Contrastive Estimation
By using the underlying theory of proper scoring rules, we design a family of noise-contrastive estimation (NCE) methods that are tractable for latent variable models. Both terms in the underlying NCE loss, the one using data samples and the one using noise samples, can be lower-bounded as in variational Bayes, therefore we call this family of losses ...
openaire +2 more sources
Review: Current progresses of small-angle neutron scattering on soft-matters investigation
A review of the recent works on soft-matters based on small-angle neutron scattering (SANS) is presented. This Review is intended to be a relatively comprehensive source for applying SANS on soft-matters investigation, including the basic principles and ...
Dong Liu +5 more
doaj +1 more source
Variational Supervised Contrastive Learning
Contrastive learning has proven to be highly efficient and adaptable in shaping representation spaces across diverse modalities by pulling similar samples together and pushing dissimilar ones apart. However, two key limitations persist: (1) Without explicit regulation of the embedding distribution, semantically related instances can inadvertently be ...
Ziwen Wang +4 more
openaire +2 more sources
Variational Graph Contrastive Learning
Graph representation learning (GRL) is a fundamental task in machine learning, aiming to encode high-dimensional graph-structured data into low-dimensional vectors. Self-supervised learning (SSL) methods are widely used in GRL because they can avoid expensive human annotation. In this work, we propose a novel Subgraph Gaussian Embedding Contrast (SGEC)
Shifeng Xie, Jhony H. Giraldo
openaire +2 more sources
ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source

