5 citations · 10 across the 4 of their papers we have counts for
5 papers
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
Hengquan Guo, Qi Zhu, Xin Liu
This paper studies the problem of stochastic continuum-armed bandit with constraints (SCBwC), where we optimize a black-box reward function subject to a black-box constraint…
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization
Liang Xiao, Jiaolong Xu, Dawei Zhao +3
Data augmentation has been widely used to improve generalization in training deep neural networks. Recent works show that using worst-case transformations or adversarial augmentati…
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
Yuxin Kong, Canjie Luo, Weihong Ma +4
Automatic font generation remains a challenging research issue due to the large amounts of characters with complicated structures. Typically, only a few samples can serve as the st…
Chop Chop BERT: Visual Question Answering by Chopping VisualBERT's Heads
Chenyu Gao, Qi Zhu, Peng Wang +1
Vision-and-Language (VL) pre-training has shown great potential on many related downstream tasks, such as Visual Question Answering (VQA), one of the most popular problems in the V…
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps
Qi Zhu, Chenyu Gao, Peng Wang +1
Texts appearing in daily scenes that can be recognized by OCR (Optical Character Recognition) tools contain significant information, such as street name, product brand and prices.…