Search Results for author: Demi Guo

Found 11 papers, 10 papers with code

Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines

no code implementations22 Apr 2022 Winnie Lin, Yilin Zhu, Demi Guo, Ron Fedkiw

We propose an end-to-end pipeline for both building and tracking 3D facial models from personalized in-the-wild (cellphone, webcam, youtube clips, etc.)

Face Swapping

Parameter-Efficient Transfer Learning with Diff Pruning

2 code implementations ACL 2021 Demi Guo, Alexander M. Rush, Yoon Kim

This approach views finetuning as learning a task-specific diff vector that is applied on top of the pretrained parameter vector, which remains fixed and is shared across different tasks.

Transfer Learning

Sequence-Level Mixed Sample Data Augmentation

1 code implementation EMNLP 2020 Demi Guo, Yoon Kim, Alexander M. Rush

Despite their empirical success, neural networks still have difficulty capturing compositional aspects of natural language.

Data Augmentation Semantic Parsing +1

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

1 code implementation ECCV 2020 Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany

To this end, we select a suite of diverse datasets and tasks to measure the effect of unsupervised pre-training on a large source set of 3D scenes.

Point Cloud Pre-training Representation Learning +3

MicroNet for Efficient Language Modeling

1 code implementation16 May 2020 Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han

In this paper, we provide the winning solution to the NeurIPS 2019 MicroNet Challenge in the language modeling track.

Knowledge Distillation Language Modelling +3

Analyzing machine-learned representations: A natural language case study

1 code implementation12 Sep 2019 Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman

Analyzing performance on these diagnostic tests indicates a lack of systematicity in the representations and decision rules, and reveals a set of heuristic strategies.

Why Build an Assistant in Minecraft?

1 code implementation22 Jul 2019 Arthur Szlam, Jonathan Gray, Kavya Srinet, Yacine Jernite, Armand Joulin, Gabriel Synnaeve, Douwe Kiela, Haonan Yu, Zhuoyuan Chen, Siddharth Goyal, Demi Guo, Danielle Rothermel, C. Lawrence Zitnick, Jason Weston

In this document we describe a rationale for a research program aimed at building an open "assistant" in the game Minecraft, in order to make progress on the problems of natural language understanding and learning from dialogue.

Natural Language Understanding

CraftAssist: A Framework for Dialogue-enabled Interactive Agents

3 code implementations19 Jul 2019 Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam

This paper describes an implementation of a bot assistant in Minecraft, and the tools and platform allowing players to interact with the bot and to record those interactions.

Latent Alignment and Variational Attention

1 code implementation NeurIPS 2018 Yuntian Deng, Yoon Kim, Justin Chiu, Demi Guo, Alexander M. Rush

This work considers variational attention networks, alternatives to soft and hard attention for learning latent variable alignment models, with tighter approximation bounds based on amortized variational inference.

Hard Attention Machine Translation +4

Evaluating Compositionality in Sentence Embeddings

1 code implementation12 Feb 2018 Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel J. Gershman, Noah D. Goodman

Further, we find that augmenting training with our dataset improves test performance on our dataset without loss of performance on the original training dataset.

Natural Language Inference Sentence Embeddings

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