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Demi Guo
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2020 – today
- 2022
- [i11]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 abs/2204.10746 (2022) - 2021
- [j4]Alexander Rives
, Joshua Meier, Tom Sercu
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences. Proc. Natl. Acad. Sci. USA 118(15): e2016239118 (2021) - [c10]Demi Guo, Alexander M. Rush
Parameter-Efficient Transfer Learning with Diff Pruning. ACL/IJCNLP (1) 2021: 4884-4896 - [c9]Demi Guo:
Learning Algorithms for Automatic Data Structure Design. SIGMOD Conference 2021: 2923-2925 - 2020
- [j3]Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman:
Analyzing Machine-Learned Representations: A Natural Language Case Study. Cogn. Sci. 44(12) (2020) - [c8]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: 574-591 - [c7]Demi Guo, Yoon Kim, Alexander M. Rush
Sequence-Level Mixed Sample Data Augmentation. EMNLP (1) 2020: 5547-5552 - [i10]Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han:
MicroNet for Efficient Language Modeling. CoRR abs/2005.07877 (2020) - [i9]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR abs/2007.10985 (2020) - [i8]Demi Guo, Yoon Kim, Alexander M. Rush:
Sequence-Level Mixed Sample Data Augmentation. CoRR abs/2011.09039 (2020) - [i7]Demi Guo, Alexander M. Rush, Yoon Kim:
Parameter-Efficient Transfer Learning with Diff Pruning. CoRR abs/2012.07463 (2020)
2010 – 2019
- 2019
- [j2]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): 47-58 (2019) - [c6]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: 1764-1773 - [c5]Zhongxia Yan, Hanrui Wang, Demi Guo, Song Han:
MicroNet for Efficient Language Modeling. NeurIPS (Competition and Demos) 2019: 215-231 - [i6]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 abs/1907.08584 (2019) - [i5]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 abs/1907.09273 (2019) - [i4]Ishita Dasgupta, Demi Guo, Samuel J. Gershman, Noah D. Goodman:
Analyzing machine-learned representations: A natural language case study. CoRR abs/1909.05885 (2019) - 2018
- [j1]Stratos Idreos, Kostas Zoumpatianos, Manos Athanassoulis
The Periodic Table of Data Structures. IEEE Data Eng. Bull. 41(3): 64-75 (2018) - [c4]Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel Gershman, Noah D. Goodman:
Evaluating Compositionality in Sentence Embeddings. CogSci 2018 - [c3]Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush
Latent Alignment and Variational Attention. NeurIPS 2018: 9735-9747 - [c2]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: 535-550 - [i3]Ishita Dasgupta, Demi Guo, Andreas Stuhlmüller, Samuel J. Gershman, Noah D. Goodman:
Evaluating Compositionality in Sentence Embeddings. CoRR abs/1802.04302 (2018) - [i2]Yuntian Deng, Yoon Kim, Justin T. Chiu, Demi Guo, Alexander M. Rush:
Latent Alignment and Variational Attention. CoRR abs/1807.03756 (2018) - [i1]Stratos Idreos, Kostas Zoumpatianos, Brian Hentschel, Michael S. Kester, Demi Guo:
The Internals of the Data Calculator. CoRR abs/1808.02066 (2018) - 2016
- [c1]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: 85-94
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