Patrick Liu

According to our database, Patrick Liu authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DiffusionSat: A Generative Foundation Model for Satellite Imagery.

Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Stanford MLab at SemEval 2022 Task 7: Tree- and Transformer-Based Methods for Clarification Plausibility.

Thomas Yim, Junha Lee, Rishi Verma, Scott Hickmann, Annie Zhu, Camron Sallade, Ian Ng, Ryan Chi, Patrick Liu

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery.

Yezhen Cong, Samar Khanna, Chenlin Meng, Patrick Liu, Erik Rozi, Yutong He, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GLARE: Generative Left-to-right AdversaRial Examples.

Ryan Chi, Nathan Kim, Patrick Liu, Zander Lack, Ethan A. Chi

Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, 2022

Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference.

Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, Christopher D. Manning

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MobileNetV2 Based Diagnosis and Grading of Limbal Stem Cell Deficiency.

Patrick Liu, Saarang Panchavati, Mara Pleasure, Nathan Siu, Clemence Bonnet, Sophie Deng, Corey W. Arnold, William Speier

Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022

2021

Stanford MLab at SemEval-2021 Task 1: Tree-Based Modelling of Lexical Complexity using Word Embeddings.

Erik Rozi, Niveditha Iyer, Gordon Chi, Enok Choe, Kathy J. Lee, Kevin Liu, Patrick Liu, Zander Lack, Jillian Tang, Ethan A. Chi

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need.

Patrick Liu, Niveditha Iyer, Erik Rozi, Ethan A. Chi

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning.

Christopher Yeh, Chenlin Meng, Sherrie Wang, Anne Driscoll, Erik Rozi, Patrick Liu, Jihyeon Janel Lee, Marshall Burke, David B. Lobell, Stefano Ermon

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2019

Optimizing Traditional Transforms for Vehicular Network Sign Classification.

Carl Cheng, Yu Shen, Patrick Liu

Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems Workshops, 2019