79 citations · 583 across the 45 of their papers we have counts for
7 papers · 1 filter
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Han Shao, Xiaotian Yu, Irwin King +1
In linear stochastic bandits, it is commonly assumed that payoffs are with sub-Gaussian noises. In this paper, under a weaker assumption on noises, we study the problem of \underli…
Topic Memory Networks for Short Text Classification
Jichuan Zeng, Jing Li, Yan Song +3
Many classification models work poorly on short texts due to data sparsity. To address this issue, we propose topic memory networks for short text classification with a novel topic…
Generating Distractors for Reading Comprehension Questions from Real Examinations
Yifan Gao, Lidong Bing, Piji Li +2
We investigate the task of distractor generation for multiple choice reading comprehension questions from examinations. In contrast to all previous works, we do not aim at preparin…
Title-Guided Encoding for Keyphrase Generation
Wang Chen, Yifan Gao, Jiani Zhang +2
Keyphrase generation (KG) aims to generate a set of keyphrases given a document, which is a fundamental task in natural language processing (NLP). Most previous methods solve this…
Difficulty Controllable Generation of Reading Comprehension Questions
Yifan Gao, Lidong Bing, Wang Chen +2
We investigate the difficulty levels of questions in reading comprehension datasets such as SQuAD, and propose a new question generation setting, named Difficulty-controllable Ques…
DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation
Hui Xu, Yuxin Su, Zirui Zhao +3
This paper investigates the piracy problem of deep learning models. Designing and training a well-performing model is generally expensive. However, when releasing them, attackers m…