… He, and D. Hakkani-Tur. Use of kernel deep convex networks and end-to-end learning for
spoken language understanding. … Feng, and D. Zhao. How to make context more useful? …

Serious studies of the formation mechanisms of age-related pigments and their possible
cellular influence have been hampered for a long time by discrepancies and controversies over …

Polarimetry is one of the most promising types of remote sensing for improved characterization
of atmospheric aerosol. Indeed, aerosol particles constitute a highly variable atmospheric …

… of the HF/6-31G(d) wave function. In … (d) level were adopted. As with the TIP3P water model,
where the empirical dipole (2.35 D) is larger than the experimental gas-phase value (1.86 D)…

… Following [11], we use an embedding vector pi ∈ R d to denote a user ui and an embedding
vector qj ∈ R d to represent an item vj , where d is the length of embedding vector. More …

… Encφ(x) of shape h × w × d, and then each d−dimensional vector is quantized to a nearby …
In Appendix D, we analyze the situation about fairness in CogView and introduce a simple “…

We propose VisualBERT, a simple and flexible framework for modeling a broad range of
vision-and-language tasks. VisualBERT consists of a stack of Transformer layers that implicitly …

This paper explores the effects of emotions embedded in a seller review on its perceived
helpfulness to readers. Drawing on frameworks in literature on emotion and cognitive …

… We consider a setting where in each round a worker or master machine can only communicate
a vector of size O(d), where d is the dimension of the parameter to be learned. In this case…

… In Assumption 2, we put mild assumptions on n0, m, p, and d. The condition that pmn0 & d
simply assumes that the total number of data that we use in each iteration for each cluster is at …