research
∙
04/22/2022
Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines
We propose an end-to-end pipeline for both building and tracking 3D faci...
share
research
∙
12/14/2020
Parameter-Efficient Transfer Learning with Diff Pruning
While task-specific finetuning of pretrained networks has led to signifi...
research
∙
11/18/2020
Sequence-Level Mixed Sample Data Augmentation
Despite their empirical success, neural networks still have difficulty c...
research
∙
07/21/2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Arguably one of the top success stories of deep learning is transfer lea...
research
∙
05/16/2020
MicroNet for Efficient Language Modeling
It is important to design compact language models for efficient deployme...
research
∙
09/12/2019
Analyzing machine-learned representations: A natural language case study
As modern deep networks become more complex, and get closer to human-lik...
research
∙
07/22/2019
Why Build an Assistant in Minecraft?
In this document we describe a rationale for a research program aimed at...
research
∙
07/19/2019
CraftAssist: A Framework for Dialogue-enabled Interactive Agents
This paper describes an implementation of a bot assistant in Minecraft, ...
research
∙
08/06/2018
The Internals of the Data Calculator
Data structures are critical in any data-driven scenario, but they are n...
research
∙
07/10/2018
Latent Alignment and Variational Attention
Neural attention has become central to many state-of-the-art models in n...
research
∙
02/12/2018