Patrick Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Sustainable Development

Machine Learning

Satellite Imagery

Top Venues

SemEval@ACL/IJCNLP

Publications

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)
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 (2023)
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 (2022)
Patrick Liu, Saarang Panchavati, Mara Pleasure, Nathan Siu, Clemence Bonnet, Sophie Deng, Corey Arnold, William Speier
MobileNetV2 Based Diagnosis and Grading of Limbal Stem Cell Deficiency. BIBE (2022)
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)
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 (2022)
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)
Ryan Chi, Nathan Kim, Patrick Liu, Zander Lack, Ethan A. Chi
GLARE: Generative Left-to-right AdversaRial Examples. Eval4NLP (2022)
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)
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)
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 (2021)
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)
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)
Carl Cheng, Yu Shen, Patrick Liu
Optimizing Traditional Transforms for Vehicular Network Sign Classification. MASS Workshops (2019)