Chen, Patrick

6 publications

ICCV 2025 Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation Hongyu Wen, Yiming Zuo, Venkat Subramanian, Patrick Chen, Jia Deng

NeurIPS 2022 ELIAS: End-to-End Learning to Index and Search in Large Output Spaces Nilesh Gupta, Patrick Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon

NeurIPS 2021 DRONE: Data-Aware Low-Rank Compression for Large NLP Models Patrick Chen, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh

ICLR 2020 Sign-OPT: A Query-Efficient Hard-Label Adversarial Attack Minhao Cheng, Simranjit Singh, Patrick Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh

ICLR 2019 Learning to Screen for Fast SoftMax Inference on Large Vocabulary Neural Networks Patrick Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh

NeurIPS 2018 GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking Patrick Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh