Search Results - "Jiechao Xiong"

Evaluating Visual Properties via Robust HodgeRank by Xu, Qianqian, Xiong, Jiechao, Cao, Xiaochun, Huang, Qingming, Yao, Yuan

“…Nowadays, how to effectively evaluate visual properties has become a popular topic for fine-grained visual comprehension. In this paper we study the problem of…”
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Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels by Yanwei Fu, Hospedales, Timothy M., Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao

“…The problem of estimating subjective visual properties from image and video has attracted increasing interest. A subjective visual property is useful either on…”
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Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation by Xu, Qianqian, Xiong, Jiechao, Huang, Qingming, Yao, Yuan

“…HodgeRank on random graphs is proposed recently as an effective framework for multimedia quality assessment problem based on paired comparison methods. With a…”
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Sparse recovery via differential inclusions by Osher, Stanley, Ruan, Feng, Xiong, Jiechao, Yao, Yuan, Yin, Wotao

“…In this paper, we recover sparse signals from their noisy linear measurements by solving nonlinear differential inclusions, which is based on the notion of…”
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From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation by Xu, Qianqian, Xiong, Jiechao, Cao, Xiaochun, Huang, Qingming, Yao, Yuan

“…In crowdsourced preference aggregation, it is often assumed that all the annotators are subject to a common preference or social utility function which…”
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Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size by Ma, Ke, Zeng, Jinshan, Xiong, Jiechao, Xu, Qianqian, Cao, Xiaochun, Liu, Wei, Yao, Yuan

“…Learning representation from relative similarity comparisons, often called ordinal embedding, gains rising attention in recent years. Most of the existing…”
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Analysis of crowdsourced sampling strategies for HodgeRank with sparse random graphs by Osting, Braxton, Xiong, Jiechao, Xu, Qianqian, Yao, Yuan

“…Crowdsourcing platforms are now extensively used for conducting subjective pairwise comparison studies. In this setting, a pairwise comparison dataset is…”
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Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning by Yang, Hanlin, Yao, Jian, Liu, Weiming, Wang, Qing, Qin, Hanmin, Kong, Hansheng, Tang, Kirk, Xiong, Jiechao, Yu, Chao, Li, Kai, Xing, Junliang, Chen, Hongwu, Zhuo, Juchao, Fu, Qiang, Wei, Yang, Fu, Haobo

“…Recovering a spectrum of diverse policies from a set of expert trajectories is an important research topic in imitation learning. After determining a latent…”
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TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning by Sun, Peng, Xiong, Jiechao, Han, Lei, Sun, Xinghai, Li, Shuxing, Xu, Jiawei, Fang, Meng, Zhang, Zhengyou

“…Competitive Self-Play (CSP) based Multi-Agent Reinforcement Learning (MARL) has shown phenomenal breakthroughs recently. Strong AIs are achieved for several…”
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Zeroth-Order Supervised Policy Improvement by Sun, Hao, Xu, Ziping, Song, Yuhang, Fang, Meng, Xiong, Jiechao, Dai, Bo, Zhou, Bolei

“…Policy gradient (PG) algorithms have been widely used in reinforcement learning (RL). However, PG algorithms rely on exploiting the value function being…”
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From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation by Xu, Qianqian, Xiong, Jiechao, Cao, Xiaochun, Huang, Qingming, Yao, Yuan

“…In crowdsourced preference aggregation, it is often assumed that all the annotators are subject to a common preference or social utility function which…”
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A Tutorial on Libra: R package for the Linearized Bregman Algorithm in High Dimensional Statistics by Xiong, Jiechao, Ruan, Feng, Yao, Yuan

“…The R package, Libra, stands for the LInearized BRegman Al- gorithm in high dimensional statistics. The Linearized Bregman Algorithm is a simple iterative…”
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HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation by Xu, Qianqian, Xiong, Jiechao, Chen, Xi, Huang, Qingming, Yao, Yuan

“…Recently, crowdsourcing has emerged as an effective paradigm for human-powered large scale problem solving in various domains. However, task requester usually…”
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Arena: a toolkit for Multi-Agent Reinforcement Learning by Wang, Qing, Xiong, Jiechao, Han, Lei, Fang, Meng, Sun, Xinghai, Zheng, Zhuobin, Sun, Peng, Zhang, Zhengyou

“…We introduce Arena, a toolkit for multi-agent reinforcement learning (MARL) research. In MARL, it usually requires customizing observations, rewards and…”
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TStarBot-X: An Open-Sourced and Comprehensive Study for Efficient League Training in StarCraft II Full Game by Han, Lei, Xiong, Jiechao, Sun, Peng, Sun, Xinghai, Fang, Meng, Guo, Qingwei, Chen, Qiaobo, Shi, Tengfei, Yu, Hongsheng, Wu, Xipeng, Zhang, Zhengyou

“…StarCraft, one of the most difficult esport games with long-standing history of professional tournaments, has attracted generations of players and fans, and…”
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Boosting with Structural Sparsity: A Differential Inclusion Approach by Huang, Chendi, Sun, Xinwei, Xiong, Jiechao, Yao, Yuan

“…Boosting as gradient descent algorithms is one popular method in machine learning. In this paper a novel Boosting-type algorithm is proposed based on…”
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A Margin-based MLE for Crowdsourced Partial Ranking by Xu, Qianqian, Xiong, Jiechao, Sun, Xinwei, Yang, Zhiyong, Cao, Xiaochun, Huang, Qingming, Yao, Yuan

“…A preference order or ranking aggregated from pairwise comparison data is commonly understood as a strict total order. However, in real-world scenarios, some…”
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Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation by Xu, Qianqian, Xiong, Jiechao, Cao, Xiaochun, Yao, Yuan

“…In crowdsourced preference aggregation, it is often assumed that all the annotators are subject to a common preference or utility function which generates…”
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False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking by Xu, Qianqian, Xiong, Jiechao, Cao, Xiaochun, Yao, Yuan

“…With the rapid growth of crowdsourcing platforms it has become easy and relatively inexpensive to collect a dataset labeled by multiple annotators in a short…”
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Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs by Osting, Braxton, Xiong, Jiechao, Xu, Qianqian, Yao, Yuan

“…Applied and Computational Harmonic Analysis, 2016 Crowdsourcing platforms are now extensively used for conducting subjective pairwise comparison studies. In…”
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