Than, Khoat

12 publications

ICLR 2025 Boosting Multiple Views for Pretrained-Based Continual Learning Quyen Tran, Tung Lam Tran, Khanh Doan, Toan Tran, Dinh Phung, Khoat Than, Trung Le

ICLR 2025 DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen, Hoang Pham, Khoat Than, Long Tran-Thanh, Hongkai Wen

MLJ 2025 Gentle Local Robustness Implies Generalization Khoat Than, Dat Phan, Giang Vu

ICML 2025 Provably Improving Generalization of Few-Shot Models with Synthetic Data Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than

MLJ 2024 Continual Variational Dropout: A View of Auxiliary Local Variables in Continual Learning Nam Le Hai, Trang Nguyen, Ngo Van Linh, Thien Huu Nguyen, Khoat Than

AAAI 2024 On Inference Stability for Diffusion Models Viet Nguyen, Giang Vu, Tung Nguyen Thanh, Khoat Than, Toan Tran

MLJ 2022 Adaptive Infinite Dropout for Noisy and Sparse Data Streams Ha Nguyen, Hoang Pham, Son Nguyen, Ngo Van Linh, Khoat Than

NeurIPS 2021 Structured Dropout Variational Inference for Bayesian Neural Networks Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho

ICML 2020 Predictive Coding for Locally-Linear Control Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung Bui

ACML 2014 Dual Online Inference for Latent Dirichlet Allocation Khoat Than, Tung Doan

ECML-PKDD 2012 Fully Sparse Topic Models Khoat Than, Tu Bao Ho

ACML 2012 Supervised Dimension Reduction with Topic Models Khoat Than, Tu Bao Ho, Duy Khuong Nguyen, Ngoc Khanh Pham