Past and Future Steps for Adaptive Storage Data Systems: From Shallow to Deep Adaptivity. - Stratos Idreos; Manos Athanassoulis; Niv Dayan; Demi Guo; Mike S. Kester; Lukas M. Maas; Kostas Zoumpatianos (BIRTE (Revised Selected Papers), 2016)

Evaluating Compositionality in Sentence Embeddings. - Ishita Dasgupta 001; Demi Guo; Andreas Stuhlmüller; Samuel Gershman; Noah D. Goodman (CogSci, 2018)

Latent Alignment and Variational Attention. - Yuntian Deng; Yoon Kim; Justin T. Chiu; Demi Guo; Alexander M. Rush (NeurIPS, 2018)

The Data Calculator: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models. - Stratos Idreos; Kostas Zoumpatianos; Brian Hentschel; Michael S. Kester; Demi Guo (SIGMOD Conference, 2018)

The Internals of the Data Calculator. - Stratos Idreos; Kostas Zoumpatianos; Brian Hentschel; Michael S. Kester; Demi Guo (CoRR, 2018)

The Periodic Table of Data Structures. - Stratos Idreos; Kostas Zoumpatianos; Manos Athanassoulis; Niv Dayan; Brian Hentschel; Michael S. Kester; Demi Guo; Lukas M. Maas; Wilson Qin; Abdul Wasay; Yiyou Sun (IEEE Data Eng. Bull., 2018)

Order-Aware Generative Modeling Using the 3D-Craft Dataset. - Zhuoyuan Chen; Kavya Srinet; Charles R. Qi; Haoqi Fan 001; Jerry Ma; Larry Zitnick; Demi Guo; Tong Xiao; Saining Xie; Xinlei Chen; Arthur Szlam; Shubham Tulsiani; et al. (ICCV, 2019)

MicroNet for Efficient Language Modeling. - Zhongxia Yan 001; Hanrui Wang 002; Demi Guo; Song Han 003 (NeurIPS (Competition and Demos), 2019)

CraftAssist: A Framework for Dialogue-enabled Interactive Agents. - Jonathan Gray; Kavya Srinet; Yacine Jernite; Haonan Yu; Zhuoyuan Chen; Demi Guo; Siddharth Goyal; C. Lawrence Zitnick; Arthur Szlam (CoRR, 2019)

Why Build an Assistant in Minecraft? - Arthur Szlam; Jonathan Gray; Kavya Srinet; Yacine Jernite; Armand Joulin; Gabriel Synnaeve; Douwe Kiela; Haonan Yu; Zhuoyuan Chen; Siddharth Goyal; Demi Guo; Danielle Rothermel; et al. (CoRR, 2019)

Learning Data Structure Alchemy. - Stratos Idreos; Kostas Zoumpatianos; Subarna Chatterjee; Wilson Qin; Abdul Wasay; Brian Hentschel; Mike S. Kester; Niv Dayan; Demi Guo; Minseo Kang; Yiyou Sun (IEEE Data Eng. Bull., 2019)

PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. - Saining Xie; Jiatao Gu; Demi Guo; Charles R. Qi; Leonidas J. Guibas; Or Litany (ECCV (3), 2020)

Sequence-Level Mixed Sample Data Augmentation. - Demi Guo; Yoon Kim; Alexander M. Rush (EMNLP (1), 2020)

Analyzing Machine-Learned Representations: A Natural Language Case Study. - Ishita Dasgupta 001; Demi Guo; Samuel J. Gershman; Noah D. Goodman (Cogn. Sci., 2020)

Parameter-Efficient Transfer Learning with Diff Pruning. - Demi Guo; Alexander M. Rush; Yoon Kim (ACL/IJCNLP (1), 2021)

Learning Algorithms for Automatic Data Structure Design. - Demi Guo (SIGMOD Conference, 2021)

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. - Alexander Rives; Joshua Meier; Tom Sercu; Siddharth Goyal; Zeming Lin; Jason Liu; Demi Guo; Myle Ott; C. Lawrence Zitnick; Jerry Ma; Rob Fergus (Proc. Natl. Acad. Sci. USA, 2021)

Leveraging Deepfakes to Close the Domain Gap between Real and Synthetic Images in Facial Capture Pipelines. - Winnie Lin; Yilin Zhu; Demi Guo; Ron Fedkiw (CoRR, 2022)