Cross-domain alignment between two sets of entities (eg, objects in an image, words in a
sentence) is fundamental to both computer vision and natural language processing. Existing …

Many real-world open-domain conversation applications have specific goals to achieve
during open-ended chats, such as recommendation, psychotherapy, education, etc. We …

Machine learning algorithms represent the intelligence that controls many information
systems and applications around us. As such, they are targeted by attackers to impact their …

Variational Autoencoders (VAE) and their variants have been widely used in a variety of
applications, such as dialog generation, image generation and disentangled representation …

Neural controllable text generation is an important area gaining attention due to its plethora
of applications. Although there is a large body of prior work in controllable text generation …

This paper reviews the novel concept of a controllable variational autoencoder
(ControlVAE), discusses its parameter tuning to meet application needs, derives its key …

The broad set of deep generative models (DGMs) has achieved remarkable advances.
However, it is often difficult to incorporate rich structured domain knowledge with the end-to …