Demi Guo

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 25

Top Topics

Unsupervised Learning

Language Modeling

Protein Sequences

Top Venues

SIGMOD Conference

IEEE Data Eng. Bull.

Publications

Winnie Lin, Yilin Zhu, Demi Guo, Ron Fedkiw
Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines. CoRR (2022)
Alexander Rives, Joshua Meier, Tom Sercu, Siddharth Goyal, Zeming Lin, Jason Liu, Demi Guo, Myle Ott, C. Lawrence Zitnick, Jerry Ma, Rob Fergus
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118 (15) (2021)
Demi Guo
Learning Algorithms for Automatic Data Structure Design. SIGMOD Conference (2021)
Demi Guo, Alexander M. Rush, Yoon Kim
Parameter-Efficient Transfer Learning with Diff Pruning. ACL/IJCNLP (1) (2021)
Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman
Analyzing Machine-Learned Representations: A Natural Language Case Study. Cogn. Sci. 44 (12) (2020)
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. ECCV (3) (2020)
Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR (2020)
Demi Guo, Yoon Kim, Alexander M. Rush
Sequence-Level Mixed Sample Data Augmentation. CoRR (2020)
Demi Guo, Yoon Kim, Alexander M. Rush
Sequence-Level Mixed Sample Data Augmentation. EMNLP (1) (2020)
Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han
MicroNet for Efficient Language Modeling. CoRR (2020)
Demi Guo, Alexander M. Rush, Yoon Kim
Parameter-Efficient Transfer Learning with Diff Pruning. CoRR (2020)
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
Why Build an Assistant in Minecraft? CoRR (2019)
Zhuoyuan Chen, Kavya Srinet, Charles R. Qi, Haoqi Fan, Jerry Ma, Larry Zitnick, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Arthur Szlam, Shubham Tulsiani, Haonan Yu, Jonathan Gray
Order-Aware Generative Modeling Using the 3D-Craft Dataset. ICCV (2019)
Jonathan Gray, Kavya Srinet, Yacine Jernite, Haonan Yu, Zhuoyuan Chen, Demi Guo, Siddharth Goyal, C. Lawrence Zitnick, Arthur Szlam
CraftAssist: A Framework for Dialogue-enabled Interactive Agents. CoRR (2019)
Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman
Analyzing machine-learned representations: A natural language case study. CoRR (2019)
Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han
MicroNet for Efficient Language Modeling. NeurIPS (Competition and Demos) (2019)
Stratos Idreos, Kostas Zoumpatianos, Subarna Chatterjee, Wilson Qin, Abdul Wasay, Brian Hentschel, Mike S. Kester, Niv Dayan, Demi Guo, Minseo Kang, Yiyou Sun
Learning Data Structure Alchemy. IEEE Data Eng. Bull. 42 (2) (2019)
Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel Gershman, Noah D. Goodman
Evaluating Compositionality in Sentence Embeddings. CogSci (2018)
Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
Latent Alignment and Variational Attention. CoRR (2018)
Stratos Idreos, Kostas Zoumpatianos, Manos Athanassoulis, Niv Dayan, Brian Hentschel, Michael S. Kester, Demi Guo, Lukas M. Maas, Wilson Qin, Abdul Wasay, Yiyou Sun
The Periodic Table of Data Structures. IEEE Data Eng. Bull. 41 (3) (2018)
Stratos Idreos, Kostas Zoumpatianos, Brian Hentschel, Michael S. Kester, Demi Guo
The Data Calculator: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models. SIGMOD Conference (2018)
Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel J. Gershman, Noah D. Goodman
Evaluating Compositionality in Sentence Embeddings. CoRR (2018)
Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
Latent Alignment and Variational Attention. NeurIPS (2018)
Stratos Idreos, Kostas Zoumpatianos, Brian Hentschel, Michael S. Kester, Demi Guo
The Internals of the Data Calculator. CoRR (2018)
Stratos Idreos, Manos Athanassoulis, Niv Dayan, Demi Guo, Mike S. Kester, Lukas M. Maas, Kostas Zoumpatianos
Past and Future Steps for Adaptive Storage Data Systems: From Shallow to Deep Adaptivity. BIRTE (Revised Selected Papers) (2016)