Patrick H. Chen

According to our database, Patrick H. Chen authored at least 13 papers between 2018 and 2023.

Collaborative distances:

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

2023

FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search.

Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh

Proceedings of the ACM Web Conference 2023, 2023

2022

End-to-End Learning to Index and Search in Large Output Spaces.

Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon

CoRR, 2022

FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search.

Patrick H. Chen, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh

CoRR, 2022

ELIAS: End-to-End Learning to Index and Search in Large Output Spaces.

Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon

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

2021

DRONE: Data-aware Low-rank Compression for Large NLP Models.

Patrick H. Chen, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems.

Jyun-Yu Jiang, Patrick H. Chen, Cho-Jui Hsieh, Wei Wang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack.

Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Efficient Contextual Representation Learning With Continuous Outputs.

Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang

Trans. Assoc. Comput. Linguistics, 2019

Overcoming Catastrophic Forgetting by Generative Regularization.

Patrick H. Chen, Wei Wei, Cho-Jui Hsieh, Bo Dai

CoRR, 2019

Efficient Contextual Representation Learning Without Softmax Layer.

Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang

CoRR, 2019

Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks.

Patrick H. Chen, Si Si, Sanjiv Kumar, Yang Li, Cho-Jui Hsieh

Proceedings of the 7th International Conference on Learning Representations, 2019

MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model.

Yukun Ma, Patrick H. Chen, Cho-Jui Hsieh

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking.

Patrick H. Chen, Si Si, Yang Li, Ciprian Chelba, Cho-Jui Hsieh

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018