Patrick H. Chen

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 16

Top Topics

Approximate Nearest Neighbor Search

Empirical Risk Minimization

Top Venues

Publications

Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. WWW (2023)
Patrick H. Chen, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. CoRR (2022)
Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces. NeurIPS (2022)
Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
End-to-End Learning to Index and Search in Large Output Spaces. CoRR (2022)
Patrick H. Chen, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
DRONE: Data-aware Low-rank Compression for Large NLP Models. NeurIPS (2021)
Jyun-Yu Jiang, Patrick H. Chen, Cho-Jui Hsieh, Wei Wang
Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. WWW (2020)
Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. ICLR (2020)
Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. CoRR (2019)
Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. ICLR (Poster) (2019)
Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang
Efficient Contextual Representation Learning With Continuous Outputs. Trans. Assoc. Comput. Linguistics 7 (2019)
Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang
Efficient Contextual Representation Learning Without Softmax Layer. CoRR (2019)
Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh
MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model. EMNLP/IJCNLP (1) (2019)
Patrick H. Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai
Overcoming Catastrophic Forgetting by Generative Regularization. CoRR (2019)
Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. CoRR (2018)
Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. CoRR (2018)
Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. NeurIPS (2018)