Optimizing Traditional Transforms for Vehicular Network Sign Classification. - Carl Cheng; Yu Shen; Patrick Liu (MASS Workshops, 2019)

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 (NeurIPS Datasets and Benchmarks, 2021)

Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need. - Patrick Liu; Niveditha Iyer; Erik Rozi; Ethan A. Chi (SemEval@ACL/IJCNLP, 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 (SemEval@ACL/IJCNLP, 2021)

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 (BIBE, 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 (EMNLP, 2022)

GLARE: Generative Left-to-right AdversaRial Examples. - Ryan Chi; Nathan Kim; Patrick Liu; Zander Lack; Ethan A. Chi (Eval4NLP, 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 (NeurIPS, 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 (SemEval@NAACL, 2022)

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 (ICLR, 2024)