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2020 – today
- 2024
[c10]Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon:
DiffusionSat: A Generative Foundation Model for Satellite Imagery. ICLR 2024- 2023
- [i4]Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon:
DiffusionSat: A Generative Foundation Model for Satellite Imagery. CoRR abs/2312.03606 (2023) - 2022
- [c9]Patrick Liu, Saarang Panchavati, Mara Pleasure, Nathan Siu
, Clemence Bonnet, Sophie Deng, Corey W. Arnold, William Speier:
MobileNetV2 Based Diagnosis and Grading of Limbal Stem Cell Deficiency. BIBE 2022: 174-179 - [c8]Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning:
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. EMNLP 2022: 1754-1768 - [c7]Ryan Chi, Nathan Kim, Patrick Liu, Zander Lack, Ethan A. Chi:
GLARE: Generative Left-to-right AdversaRial Examples. Eval4NLP 2022: 44-50 - [c6]Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon:
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery. NeurIPS 2022 - [c5]Thomas Yim, Junha Lee, Rishi Verma, Scott Hickmann, Annie Zhu, Camron Sallade, Ian Ng, Ryan Chi, Patrick Liu:
Stanford MLab at SemEval 2022 Task 7: Tree- and Transformer-Based Methods for Clarification Plausibility. SemEval@NAACL 2022: 1067-1070 - [i3]Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon:
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery. CoRR abs/2207.08051 (2022) - [i2]Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning:
Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference. CoRR abs/2211.11875 (2022) - 2021
- [c4]Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon:
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. NeurIPS Datasets and Benchmarks 2021 - [c3]Erik Rozi, Niveditha Iyer, Gordon Chi, Enok Choe, Kathy J. Lee, Kevin Liu, Patrick Liu, Zander Lack, Jillian Tang, Ethan A. Chi:
Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings. SemEval@ACL/IJCNLP 2021: 688-693 - [c2]Patrick Liu, Niveditha Iyer, Erik Rozi, Ethan A. Chi:
Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need. SemEval@ACL/IJCNLP 2021: 1245-1248 - [i1]Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon:
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning. CoRR abs/2111.04724 (2021)
2010 – 2019
- 2019
- [c1]Carl Cheng, Yu Shen, Patrick Liu:
Optimizing Traditional Transforms for Vehicular Network Sign Classification. MASS Workshops 2019: 127-132
Coauthor Index
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