research
∙
12/20/2022
Future Sight: Dynamic Story Generation with Large Pretrained Language Models
Recent advances in deep learning research, such as transformers, have bo...
share
research
∙
10/27/2022
LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation
Electronic music artists and sound designers have unique workflow practi...
research
∙
06/03/2021
LyricJam: A system for generating lyrics for live instrumental music
We describe a real-time system that receives a live audio stream from a ...
research
∙
05/03/2021
Towards A Multi-agent System for Online Hate Speech Detection
This paper envisions a multi-agent system for detecting the presence of ...
research
∙
09/30/2020
Generation of lyrics lines conditioned on music audio clips
We present a system for generating novel lyrics lines conditioned on mus...
research
∙
06/17/2020
Iterative Edit-Based Unsupervised Sentence Simplification
We present a novel iterative, edit-based approach to unsupervised senten...
research
∙
05/04/2020
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
Automatic sentence summarization produces a shorter version of a sentenc...
research
∙
04/22/2020
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
Learning disentangled representations of real world data is a challengin...
research
∙
11/10/2019
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior
Wasserstein autoencoders are effective for text generation. They do not ...
research
∙
11/10/2019
Dynamic Fusion for Multimodal Data
Effective fusion of data from multiple modalities, such as video, speech...
research
∙
11/10/2019
Conditional Response Generation Using Variational Alignment
Generating relevant/conditioned responses in dialog is challenging, and ...
research
∙
07/06/2019
Generating Sentences from Disentangled Syntactic and Semantic Spaces
Variational auto-encoders (VAEs) are widely used in natural language gen...
research
∙
03/28/2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
In the natural language processing literature, neural networks are becom...
research
∙
12/20/2018
Generating lyrics with variational autoencoder and multi-modal artist embeddings
We present a system for generating song lyrics lines conditioned on the ...
research
∙
08/13/2018
Disentangled Representation Learning for Text Style Transfer
This paper tackles the problem of disentangling the latent variables of ...
research
∙
06/22/2018
Probabilistic Natural Language Generation with Wasserstein Autoencoders
Probabilistic generation of natural language sentences is an important t...
research
∙
12/21/2017
Variational Attention for Sequence-to-Sequence Models
The variational encoder-decoder (VED) encodes source information as a se...
research
∙
07/29/2017