activity
20192024
most citedFLOP: Federated Learning on Medical Datasets using Partial Networks

65 citations · 281 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.IT2020★ 3 cited

Estimating Total Correlation with Mutual Information Estimators

Ke Bai, Pengyu Cheng, Weituo Hao +2

Total correlation (TC) is a fundamental concept in information theory that measures statistical dependency among multiple random variables. Recently, TC has shown noticeable effect…

cs.CL2020★ 30 cited

MixKD: Towards Efficient Distillation of Large-scale Language Models

Kevin J Liang, Weituo Hao, Dinghan Shen +4

Large-scale language models have recently demonstrated impressive empirical performance. Nevertheless, the improved results are attained at the price of bigger models, more power c…

cs.LG2020★ 1 cited

WAFFLe: Weight Anonymized Factorization for Federated Learning

Weituo Hao, Nikhil Mehta, Kevin J Liang +3

In domains where data are sensitive or private, there is great value in methods that can learn in a distributed manner without the data ever leaving the local devices. In light of…

cs.LG2020★ 58 cited

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

Pengyu Cheng, Weituo Hao, Shuyang Dai +3

Mutual information (MI) minimization has gained considerable interests in various machine learning tasks. However, estimating and minimizing MI in high-dimensional spaces remains a…

cs.CV2020★ 18 cited

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training

Weituo Hao, Chunyuan Li, Xiujun Li +2

Learning to navigate in a visual environment following natural-language instructions is a challenging task, because the multimodal inputs to the agent are highly variable, and the…