Rowhammer attacks that corrupt level-1 page tables to gain kernel privil...
Coded aperture snapshot spectral imaging (CASSI) is a promising techniqu...
Recently, many plug-and-play self-attention modules are proposed to enha...
This paper presents a context-aware tracing strategy (CATS) for crisp ed...
Non-local low-rank tensor approximation has been developed as a
state-of...
Although many spectral unmixing models have been developed to address
sp...
The fusion of input and guidance images that have a tradeoff in their
in...
We propose a framework that estimates inundation depth (maximum water le...
Hyperspectral super-resolution (HSR) fuses a low-resolution hyperspectra...
This paper investigates mixed strategies in dynamic games with perfect
i...
Compilers can specialize programs having invariants for performance
impr...
Non-local low-rank tensor approximation has been developed as a
state-of...
Synchronized stochastic gradient descent (SGD) optimizers with data
para...
In this paper, we present the optical image simulation from a synthetic
...
Machine reading comprehension (MRC) on real web data usually requires th...
In this paper, bilateral teleoperation of multiple slaves coupled to a s...
In this paper, we introduce DuReader, a new large-scale, open-domain Chi...
Chinese poetry generation is a very challenging task in natural language...
While end-to-end neural machine translation (NMT) has made remarkable
pr...
The attentional mechanism has proven to be effective in improving end-to...
We propose minimum risk training for end-to-end neural machine translati...