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Hai Pham
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2020 – today
- 2024
- [i14]Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Deyu Fu, Donovan Ong, Eric Chen, Eugenie Lamprecht, Hai Pham, Isaac Ong, Kaloyan Aleksiev, Lei Li, Matthew Henderson, Max Bain, Mikel Artetxe, Nishant Relan, Piotr Padlewski, Qi Liu, Ren Chen, Samuel Phua, Yazheng Yang, Yi Tay, Yuqi Wang, Zhongkai Zhu, Zhihui Xie:
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models. CoRR abs/2404.12387 (2024) - [i13]Piotr Padlewski, Max Bain, Matthew Henderson, Zhongkai Zhu, Nishant Relan, Hai Pham, Donovan Ong, Kaloyan Aleksiev, Aitor Ormazabal, Samuel Phua, Ethan Yeo, Eugenie Lamprecht, Qi Liu, Yuqi Wang, Eric Chen, Deyu Fu, Lei Li, Che Zheng, Cyprien de Masson d'Autume, Dani Yogatama, Mikel Artetxe, Yi Tay:
Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language models. CoRR abs/2405.02287 (2024) - 2023
- [c8]Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabás Póczos:
The student becomes the master: Outperforming GPT3 on Scientific Factual Error Correction. EMNLP (Findings) 2023: 6762-6778 - [i12]Dhananjay Ashok, Atharva Kulkarni, Hai Pham, Barnabás Póczos:
The student becomes the master: Matching GPT3 on Scientific Factual Error Correction. CoRR abs/2305.14707 (2023) - [i11]Hai Pham, Young Jin Kim, Subhabrata Mukherjee, David P. Woodruff, Barnabás Póczos, Hany Hassan Awadalla:
Task-Based MoE for Multitask Multilingual Machine Translation. CoRR abs/2308.15772 (2023) - 2022
- [i10]Hai Pham, Guoxin Wang, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang:
Understanding Long Documents with Different Position-Aware Attentions. CoRR abs/2208.08201 (2022) - [i9]Han Nguyen, Hai Pham, Sashank J. Reddi, Barnabás Póczos:
On the Algorithmic Stability and Generalization of Adaptive Optimization Methods. CoRR abs/2211.03970 (2022) - 2021
- [j3]Thomas Fahey, Hai Pham, Alessandro Gardi, Roberto Sabatini, Dario Stefanelli, Ian Goodwin, David William Lamb:
Active and Passive Electro-Optical Sensors for Health Assessment in Food Crops. Sensors 21(1): 171 (2021) - [c7]Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard H. Hovy, Barnabás Póczos, Ruslan Salakhutdinov, Louis-Philippe Morency:
StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer. NAACL-HLT 2021: 2116-2138 - [c6]Shuli Jiang, Hai Pham, David P. Woodruff, Qiuyi (Richard) Zhang:
Optimal Sketching for Trace Estimation. NeurIPS 2021: 23741-23753 - [i8]Yiwei Lyu, Paul Pu Liang, Hai Pham, Eduard H. Hovy, Barnabás Póczos, Ruslan Salakhutdinov, Louis-Philippe Morency:
StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer. CoRR abs/2104.05196 (2021) - [i7]Shuli Jiang, Hai Pham, David P. Woodruff, Qiuyi (Richard) Zhang:
Optimal Sketching for Trace Estimation. CoRR abs/2111.00664 (2021) - 2020
- [c5]Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu:
Robust Handwriting Recognition with Limited and Noisy Data. ICFHR 2020: 301-306 - [c4]Quang Minh Hoang, Nghia Hoang, Hai Pham, David P. Woodruff:
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes. NeurIPS 2020 - [i6]Ilqar Ramazanli, Han Nguyen, Hai Pham, Sashank J. Reddi, Barnabás Póczos:
Adaptive Sampling Distributed Stochastic Variance Reduced Gradient for Heterogeneous Distributed Datasets. CoRR abs/2002.08528 (2020) - [i5]Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu:
Robust Handwriting Recognition with Limited and Noisy Data. CoRR abs/2008.08148 (2020) - [i4]Quang Minh Hoang, Trong Nghia Hoang, Hai Pham, David P. Woodruff:
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes. CoRR abs/2011.08432 (2020)
2010 – 2019
- 2019
- [b1]Hai Pham:
Contributions to quantum-Safe Cryptography: Hybrid Encryption and Reducing the T gate Cost of AES. Florida Atlantic University, Boca Raton, USA, 2019 - [j2]Hai Pham, Rainer Steinwandt, Adriana Suárez Corona:
Integrating Classical Preprocessing into an Optical Encryption Scheme. Entropy 21(9): 872 (2019) - [c3]Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos:
Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities. AAAI 2019: 6892-6899 - [i3]Brandon Langenberg, Hai Pham, Rainer Steinwandt:
Reducing the Cost of Implementing AES as a Quantum Circuit. IACR Cryptol. ePrint Arch. 2019: 854 (2019) - 2018
- [i2]Hai Pham, Thomas Manzini, Paul Pu Liang, Barnabás Póczos:
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis. CoRR abs/1807.03915 (2018) - [i1]Hai Pham, Paul Pu Liang, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos:
Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities. CoRR abs/1812.07809 (2018) - 2015
- [c2]Fang Zhou, Hai Pham, Jianhui Yue, Hao Zou, Weikuan Yu:
SFMapReduce: An optimized MapReduce framework for Small Files. NAS 2015: 23-32 - 2013
- [j1]Erin G. Fong, Nathaniel J. Guilar, Travis Kleeburg, Hai Pham, Diego R. Yankelevich, Rajeevan Amirtharajah:
Integrated Energy-Harvesting Photodiodes With Diffractive Storage Capacitance. IEEE Trans. Very Large Scale Integr. Syst. 21(3): 486-497 (2013)
1990 – 1999
- 1998
- [c1]Ilyoung Kim, Yervant Zorian, Goh Komoriya, Hai Pham, Frank P. Higgins, Jim L. Lewandowski:
Built in self repair for embedded high density SRAM. ITC 1998: 1112-1119
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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