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Cuong Pham 0007
Person information
- affiliation: Monash University, Department of Data Science and AI, Australia
Other persons with the same name
- Cuong Pham 0001 — Posts and Telecommunications Institute of Technology, Hanoi, Vietnam (and 1 more)
- Cuong Pham 0002 — Microsoft Corporation, Redmond, WA, USA (and 1 more)
- Cuong Pham 0003 — University of Illinois at Urbana-Champaign, Champaign, IL, USA
- Cuong Pham 0004 — Japan Advanced Institute of Science and Technology, Ishikawa, Japan
- Cuong Pham 0005 — Santa Clara University, School of Engineering, CA, USA
- Cuong Pham 0006 — Sorbonne University, Institute of Biology Paris Seine, France
- Cuong Pham 0008 — Ritsumeikan University, Shiga, Japan
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2020 – today
- 2024
- [c4]Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
MetaAug: Meta-data Augmentation for Post-training Quantization. ECCV (27) 2024: 236-252 - [c3]Hoang Anh Dung, Cuong Pham, Trung Le, Jianfei Cai, Thanh-Toan Do:
Sharpness-Aware Data Generation for Zero-shot Quantization. ICML 2024 - [c2]Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Frequency Attention for Knowledge Distillation. WACV 2024: 2266-2275 - [i4]Cuong Pham, Van-Anh Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Frequency Attention for Knowledge Distillation. CoRR abs/2403.05894 (2024) - [i3]Cuong Pham, Cuong C. Nguyen, Trung Le, Dinh Q. Phung, Gustavo Carneiro, Thanh-Toan Do:
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning. CoRR abs/2407.02721 (2024) - [i2]Cuong Pham, Hoang Anh Dung, Cuong C. Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do:
MetaAug: Meta-Data Augmentation for Post-Training Quantization. CoRR abs/2407.14726 (2024) - 2023
- [c1]Cuong Pham, Tuan Hoang, Thanh-Toan Do:
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. WACV 2023: 6424-6432 - 2022
- [i1]Cuong Pham, Tuan Hoang, Thanh-Toan Do:
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. CoRR abs/2210.16103 (2022)
Coauthor Index
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