Search Results for author: Da Huo

Found 6 papers, 1 papers with code

MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

1 code implementation18 Jul 2023 Yuki Kondo, Norimichi Ukita, Takayuki Yamaguchi, Hao-Yu Hou, Mu-Yi Shen, Chia-Chi Hsu, En-Ming Huang, Yu-Chen Huang, Yu-Cheng Xia, Chien-Yao Wang, Chun-Yi Lee, Da Huo, Marc A. Kastner, TingWei Liu, Yasutomo Kawanishi, Takatsugu Hirayama, Takahiro Komamizu, Ichiro Ide, Yosuke Shinya, Xinyao Liu, Guang Liang, Syusuke Yasui

Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a challenging task due to the noisy, blurred, and less-informative image appearances of small objects.

Ranked #2 on Small Object Detection on SOD4SB Public Test (using extra training data)

Object object-detection +1

Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising

no code implementations7 Jun 2021 Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, YiQing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu

In e-commerce advertising, it is crucial to jointly consider various performance metrics, e. g., user experience, advertiser utility, and platform revenue.

Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics

no code implementations ICLR 2021 Yanchao Sun, Da Huo, Furong Huang

Poisoning attacks on Reinforcement Learning (RL) systems could take advantage of RL algorithm's vulnerabilities and cause failure of the learning.

Reinforcement Learning (RL)

Building Interpretable Interaction Trees for Deep NLP Models

no code implementations29 Jun 2020 Die Zhang, Huilin Zhou, Hao Zhang, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Mengyue Wu, Quanshi Zhang

This paper proposes a method to disentangle and quantify interactions among words that are encoded inside a DNN for natural language processing.

Sentence

Inducing Universal Semantic Tag Vectors

no code implementations LREC 2020 Da Huo, Gerard de Melo

Given the well-established usefulness of part-of-speech tag annotations in many syntactically oriented downstream NLP tasks, the recently proposed notion of semantic tagging (Bjerva et al. 2016) aims at tagging words with tags informed by semantic distinctions, which are likely to be useful across a range of semantic tasks.

TAG

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