38 citations · 65 across the 9 of their papers we have counts for
9 papers
Task-Based MoE for Multitask Multilingual Machine Translation
Hai Pham, Young Jin Kim, Subhabrata Mukherjee +3
Mixture-of-experts (MoE) architecture has been proven a powerful method for diverse tasks in training deep models in many applications. However, current MoE implementations are tas…
Understanding Long Documents with Different Position-Aware Attentions
Hai Pham, Guoxin Wang, Yijuan Lu +2
Despite several successes in document understanding, the practical task for long document understanding is largely under-explored due to several challenges in computation and how t…
Optimal Sketching for Trace Estimation
Shuli Jiang, Hai Pham, David P. Woodruff +2
Matrix trace estimation is ubiquitous in machine learning applications and has traditionally relied on Hutchinson's method, which requires matrix-vector product…
StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer
Yiwei Lyu, Paul Pu Liang, Hai Pham +4
Text style transfer aims to controllably generate text with targeted stylistic changes while maintaining core meaning from the source sentence constant. Many of the existing style…
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
Quang Minh Hoang, Trong Nghia Hoang, Hai Pham +1
We introduce a new scalable approximation for Gaussian processes with provable guarantees which hold simultaneously over its entire parameter space. Our approximation is obtained f…
Robust Handwriting Recognition with Limited and Noisy Data
Hai Pham, Amrith Setlur, Saket Dingliwal +7
Despite the advent of deep learning in computer vision, the general handwriting recognition problem is far from solved. Most existing approaches focus on handwriting datasets that…