research
∙
07/24/2023
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Pre-trained large language models (LLMs) have recently achieved better g...
share
research
∙
04/05/2022
PaLM: Scaling Language Modeling with Pathways
Large language models have been shown to achieve remarkable performance ...
research
∙
07/14/2021
Deduplicating Training Data Makes Language Models Better
We find that existing language modeling datasets contain many near-dupli...
research
∙
04/15/2021
Joint Attention for Multi-Agent Coordination and Social Learning
Joint attention - the ability to purposefully coordinate attention with ...
research
∙
10/01/2020
Learning Social Learning
Social learning is a key component of human and animal intelligence. By ...
research
∙
05/11/2020
Toward Better Storylines with Sentence-Level Language Models
We propose a sentence-level language model which selects the next senten...
research
∙
11/02/2019
Human and Automatic Detection of Generated Text
With the advent of generative models with a billion parameters or more, ...
research
∙
05/14/2019
Learning to Groove with Inverse Sequence Transformations
We explore models for translating abstract musical ideas (scores, rhythm...
research
∙
04/04/2019
A Learned Representation for Scalable Vector Graphics
Dramatic advances in generative models have resulted in near photographi...
research
∙
03/18/2019
Counterpoint by Convolution
Machine learning models of music typically break up the task of composit...
research
∙
10/29/2018
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
Generating musical audio directly with neural networks is notoriously di...
research
∙
09/12/2018
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation
Music relies heavily on self-reference to build structure and meaning. W...
research
∙
09/12/2018
Music Transformer
Music relies heavily on repetition to build structure and meaning. Self-...
research
∙
08/10/2018
This Time with Feeling: Learning Expressive Musical Performance
Music generation has generally been focused on either creating scores or...
research
∙
06/01/2018
Learning a Latent Space of Multitrack Measures
Discovering and exploring the underlying structure of multi-instrumental...
research
∙
03/13/2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
The Variational Autoencoder (VAE) has proven to be an effective model fo...
research
∙
02/13/2018
Learning via social awareness: improving sketch representations with facial feedback
In the quest towards general artificial intelligence (AI), researchers h...
research
∙
10/30/2017
Onsets and Frames: Dual-Objective Piano Transcription
We consider the problem of transcribing polyphonic piano music with an e...
research
∙
09/29/2017
Improving image generative models with human interactions
GANs provide a framework for training generative models which mimic a da...
research
∙
04/11/2017
A Neural Representation of Sketch Drawings
We present sketch-rnn, a recurrent neural network (RNN) able to construc...
research
∙
04/05/2017
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Generative models in vision have seen rapid progress due to algorithmic ...
research
∙
04/03/2017
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Recurrent neural network models with an attention mechanism have proven ...
research
∙
11/09/2016