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Taxonomic Recommendations of Real Estate Properties with Textual Attribute Information
In this extended abstract, we present an end to end approach for building a taxonomy of home attribute terms that enables hierarchical recommendations of real estate properties.
DeepDefacer: Automatic Removal of Facial Features via U-Net Image Segmentation
In this paper, we introduce DeepDefacer, an application of deep learning to MRI anonymization that uses a streamlined 3D U-Net network to mask facial regions in MRI images with a significant increase in speed over traditional de-identification software.
DeepTrax: Embedding Graphs of Financial Transactions
In this paper, we present a novel application of representation learning to bipartite graphs of credit card transactions in order to learn embeddings of account and merchant entities.
Graph Embeddings at Scale
Graph embedding is a popular algorithmic approach for creating vector representations for individual vertices in networks.
An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model
In this paper, we extend the persona-based sequence-to-sequence (Seq2Seq) neural network conversation model to a multi-turn dialogue scenario by modifying the state-of-the-art hredGAN architecture to simultaneously capture utterance attributes such as speaker identity, dialogue topic, speaker sentiments and so on.
A Persona-based Multi-turn Conversation Model in an Adversarial Learning Framework
In this paper, we extend the persona-based sequence-to-sequence (Seq2Seq) neural network conversation model to multi-turn dialogue by modifying the state-of-the-art hredGAN architecture.
Multi-turn Dialogue Response Generation in an Adversarial Learning Framework
We propose an adversarial learning approach for generating multi-turn dialogue responses.
