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2020 – today
- 2024
[c6]Hoang Phan, Andrew Gordon Wilson, Qi Lei:
Controllable Prompt Tuning For Balancing Group Distributional Robustness. ICML 2024- [i12]Hoang Phan, Andrew Gordon Wilson, Qi Lei:
Controllable Prompt Tuning For Balancing Group Distributional Robustness. CoRR abs/2403.02695 (2024) - [i11]Hoang Phan, Lam Tran, Quyen Tran, Trung Le:
Enhancing Domain Adaptation through Prompt Gradient Alignment. CoRR abs/2406.09353 (2024) - [i10]Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei:
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning. CoRR abs/2407.06120 (2024) - 2023
- [c5]Hoang Phan, Trung Le, Trung Phung, Anh Tuan Bui, Nhat Ho, Dinh Q. Phung:
Global-Local Regularization Via Distributional Robustness. AISTATS 2023: 7644-7664 - [c4]Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le:
Flat Seeking Bayesian Neural Networks. NeurIPS 2023 - [i9]Van-Anh Nguyen, Long Tung Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le:
Flat Seeking Bayesian Neural Networks. CoRR abs/2302.02713 (2023) - [i8]Ngoc N. Tran, Son Duong, Hoang Phan, Tung Pham, Dinh Q. Phung, Trung Le:
Sharpness & Shift-Aware Self-Supervised Learning. CoRR abs/2305.10252 (2023) - [i7]Boris Kovalerchuk, Hoang Phan:
Full High-Dimensional Intelligible Learning In 2-D Lossless Visualization Space. CoRR abs/2305.19132 (2023) - [i6]Ngoc N. Tran
, Lam Tran, Hoang Phan, Anh Tuan Bui, Tung Pham, Toan Tran, Dinh Q. Phung, Trung Le:
Robust Contrastive Learning With Theory Guarantee. CoRR abs/2311.09671 (2023) - 2022
- [c3]Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung:
Stochastic Multiple Target Sampling Gradient Descent. NeurIPS 2022 - [c2]Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than:
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. PAKDD (1) 2022: 106-117 - [i5]Hoang Phan, Trung Le, Trung Phung, Tuan-Anh Bui, Nhat Ho, Dinh Q. Phung:
Global-Local Regularization Via Distributional Robustness. CoRR abs/2203.00553 (2022) - [i4]Hoang Phan, Ngoc Tran, Trung Le, Toan Tran, Nhat Ho, Dinh Phung:
Stochastic Multiple Target Sampling Gradient Descent. CoRR abs/2206.01934 (2022) - [i3]Hoang Phan, Lam Tran, Ngoc N. Tran, Nhat Ho, Dinh Q. Phung, Trung Le:
Improving Multi-task Learning via Seeking Task-based Flat Regions. CoRR abs/2211.13723 (2022) - [i2]Quyen Tran, Hoang Phan, Khoat Than, Dinh Q. Phung, Trung Le:
Continual Learning with Optimal Transport based Mixture Model. CoRR abs/2211.16780 (2022) - 2021
- [c1]Boris Kovalerchuk, Hoang Phan:
Full interpretable machine learning in 2D with inline coordinates. IV 2021: 189-196 - [i1]Boris Kovalerchuk, Hoang Phan:
Full interpretable machine learning in 2D with inline coordinates. CoRR abs/2106.07568 (2021)
Coauthor Index
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