no code implementations • 28 Mar 2024 • Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray Buntine
Machine translation for Vietnamese-English in the medical domain is still an under-explored research area.
no code implementations • 22 Feb 2024 • Phuong Dinh Mai, Duc-Trong Le, Tuan-Anh Hoang, Dung D. Le
On the Expohedron, we profile the Pareto curve which captures the trade-off between group fairness and user utility by identifying a finite number of Pareto optimal solutions.
no code implementations • 18 Feb 2024 • Cuong Dang, Dung D. Le, Thai Le
Traditional adversarial evaluation is often done \textit{only after} fine-tuning the models and ignoring the training data.
no code implementations • 5 Feb 2024 • Quang-Huy Nguyen, Jin Peng Zhou, Zhenzhen Liu, Khanh-Huyen Bui, Kilian Q. Weinberger, Dung D. Le
RONIN conditions the inpainting process with the predicted ID label, drawing the input object closer to the in-distribution domain.
1 code implementation • 8 Jan 2024 • Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong
Federated Recommendation (FedRec) systems have emerged as a solution to safeguard users' data in response to growing regulatory concerns.
no code implementations • 26 Nov 2023 • Quang-Huy Nguyen, Long P. Hoang, Hoang V. Viet, Dung D. Le
Pareto Set Learning (PSL) is a promising approach for approximating the entire Pareto front in multi-objective optimization (MOO) problems.
1 code implementation • 10 Jul 2023 • Tuc Nguyen-Van, Dung D. Le, The-Anh Ta
A promising candidate for the faithful embedding of data with varying structure is product manifolds of component spaces of different geometries (spherical, hyperbolic, or euclidean).
no code implementations • 11 Apr 2023 • Huy Dao, Dung D. Le, Cuong Chu
State-of-the-art methods on conversational recommender systems (CRS) leverage external knowledge to enhance both items' and contextual words' representations to achieve high quality recommendations and responses generation.
1 code implementation • 2 Dec 2022 • Long P. Hoang, Dung D. Le, Tran Anh Tuan, Tran Ngoc Thang
Pareto Front Learning (PFL) was recently introduced as an effective approach to obtain a mapping function from a given trade-off vector to a solution on the Pareto front, which solves the multi-objective optimization (MOO) problem.
1 code implementation • 13 Nov 2022 • Quang-Huy Nguyen, Cuong Q. Nguyen, Dung D. Le, Hieu H. Pham
This might result in a significant difference between support and query samples, therefore undermining the performance of few-shot algorithms.
1 code implementation • 16 Oct 2021 • Tam Nguyen, Tan M. Nguyen, Dung D. Le, Duy Khuong Nguyen, Viet-Anh Tran, Richard G. Baraniuk, Nhat Ho, Stanley J. Osher
Inspired by this observation, we propose Transformer with a Mixture of Gaussian Keys (Transformer-MGK), a novel transformer architecture that replaces redundant heads in transformers with a mixture of keys at each head.
3 code implementations • 30 Dec 2020 • Ha Q. Nguyen, Khanh Lam, Linh T. Le, Hieu H. Pham, Dat Q. Tran, Dung B. Nguyen, Dung D. Le, Chi M. Pham, Hang T. T. Tong, Diep H. Dinh, Cuong D. Do, Luu T. Doan, Cuong N. Nguyen, Binh T. Nguyen, Que V. Nguyen, Au D. Hoang, Hien N. Phan, Anh T. Nguyen, Phuong H. Ho, Dat T. Ngo, Nghia T. Nguyen, Nhan T. Nguyen, Minh Dao, Van Vu
Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs.