Generative AI
Data augmentation (DA) is fundamental against overfitting in large convolutional neural networks, especially with a limited training …
In this paper, we explore new approaches to combining information encoded within the learned representations of auto-encoders. We …
We introduce a new dataset of 293,008 high definition (1360 x 1360 pixels) fashion images paired with item descriptions provided by …
There has been growing interest in using neural networks and deep learning techniques to create dialogue systems. Conversational …
Recent progress in deep generative models has been fueled by two paradigms – au- toregressive and adversarial models. We propose a …
We present an unsupervised approach for learning to estimate three dimensional (3D) facial structure from a single image while also …
This article proposes Adversarially-Trained Normalized Noisy-Feature Auto-Encoder (ATNNFAE) for byte-level text generation. An ATNNFAE …
Progress in the field of machine learning has been fueled by the introduction of benchmark datasets pushing the limits of existing …
We introduce a new dataset of 293,008 high definition (1360 x 1360 pixels) fashion images paired with item descriptions provided by …
We examine the problem of question answering over knowledge graphs, focusing on simple questions that can be answered by the lookup of …