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Quang Pham
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2020 – today
- 2024
- [j2]Quang Pham
, Chenghao Liu
Continual Learning, Fast and Slow. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 134-149 (2024) - [c13]Quang Pham, Hoang Ngo, Anh Tuan Luu, Dat Quoc Nguyen:
Who's Who: Large Language Models Meet Knowledge Conflicts in Practice. EMNLP (Findings) 2024: 10142-10151 - [c12]Zhongzheng Qiao
Class-incremental Learning for Time Series: Benchmark and Evaluation. KDD 2024: 5613-5624 - [i16]Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho:
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. CoRR abs/2402.02526 (2024) - [i15]Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H. Le, Ponnuthurai N. Suganthan, Xudong Jiang, Savitha Ramasamy:
Class-incremental Learning for Time Series: Benchmark and Evaluation. CoRR abs/2402.12035 (2024) - [i14]Dung Nguyen Manh, Thang Phan Chau, Nam Le Hai, Thong T. Doan, Nam V. Nguyen, Quang Pham, Nghi D. Q. Bui:
CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding Capabilities of CodeLLMs. CoRR abs/2410.01999 (2024) - [i13]Nam V. Nguyen, Thong T. Doan, Luong Tran, Van Nguyen, Quang Pham:
LIBMoE: A Library for comprehensive benchmarking Mixture of Experts in Large Language Models. CoRR abs/2411.00918 (2024) - 2023
- [c11]Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP 2023: 5754-5765 - [c10]Khoi Minh Nguyen-Duy, Quang Pham, Binh T. Nguyen:
Adaptive-saturated RNN: Remember more with less instability. Tiny Papers @ ICLR 2023 - [c9]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. ICLR 2023 - [i12]Khoi Minh Nguyen-Duy, Quang Pham, Binh T. Nguyen:
Adaptive-saturated RNN: Remember more with less instability. CoRR abs/2304.11790 (2023) - [i11]Duy Minh Ho Nguyen, Tan Ngoc Pham, Nghiem Tuong Diep, Nghi Quoc Phan, Quang Pham, Vinh Tong, Binh T. Nguyen, Ngan Hoang Le, Nhat Ho, Pengtao Xie, Daniel Sonntag, Mathias Niepert
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation. CoRR abs/2311.11096 (2023) - [i10]Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR abs/2312.07035 (2023) - 2022
- [j1]Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham
TATL: Task agnostic transfer learning for skin attributes detection. Medical Image Anal. 78: 102359 (2022) - [c8]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. ICLR 2022 - [i9]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Learning Fast and Slow for Online Time Series Forecasting. CoRR abs/2202.11672 (2022) - [i8]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. CoRR abs/2203.16102 (2022) - [i7]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
Continual Learning: Fast and Slow. CoRR abs/2209.02370 (2022) - 2021
- [c7]Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi:
Contextual Transformation Networks for Online Continual Learning. ICLR 2021 - [c6]Hieu Tran, Cuong V. Dinh, Quang Pham, Binh T. Nguyen:
An Efficient Transformer-Based Model for Vietnamese Punctuation Prediction. IEA/AIE (2) 2021: 47-58 - [c5]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
DualNet: Continual Learning, Fast and Slow. NeurIPS 2021: 16131-16144 - [i6]Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection. CoRR abs/2104.01641 (2021) - [i5]Quang Pham, Chenghao Liu, Steven C. H. Hoi:
DualNet: Continual Learning, Fast and Slow. CoRR abs/2110.00175 (2021) - 2020
- [c4]Thuy Pham, Nhu Nguyen, Quang Pham, Han Cao, Binh T. Nguyen:
Vietnamese Punctuation Prediction Using Deep Neural Networks. SOFSEM 2020: 388-400 - [i4]Quang Pham, Marija Stanojevic, Zoran Obradovic:
Extracting Entities and Topics from News and Connecting Criminal Records. CoRR abs/2005.00950 (2020) - [i3]Quang Pham, Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi:
Bilevel Continual Learning. CoRR abs/2007.15553 (2020)
2010 – 2019
- 2018
- [c3]Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi:
Online Deep Learning: Learning Deep Neural Networks on the Fly. IJCAI 2018: 2660-2666 - [i2]Hung Le, Quang Pham, Doyen Sahoo, Steven C. H. Hoi:
URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection. CoRR abs/1802.03162 (2018) - 2017
- [c2]Thai Van Phat, Dang Xuan Tien
Vietnamese food recognition using convolutional neural networks. KSE 2017: 124-129 - [i1]Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi:
Online Deep Learning: Learning Deep Neural Networks on the Fly. CoRR abs/1711.03705 (2017) - 2010
- [c1]Jean-Charles Bazin, Soonkee Chung, Roger Blanco Ribera, Quang Pham, Inso Kweon:
Virtual face sculpting. SIGGRAPH Posters 2010: 78:1
Coauthor Index
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