Cross-Task Transfer for Multimodal Aerial Scene Recognition

May 18, 2020
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou


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Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions

May 16, 2020
Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu


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COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization

Apr 26, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu


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Ontology-based Interpretable Machine Learning for Textual Data

Apr 01, 2020
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou

* Accepted by IJCNN 2020 

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Parameter-Free Style Projection for Arbitrary Style Transfer

Mar 17, 2020
Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou

* 9 pages, 12 figures 

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Label-guided Learning for Text Classification

Feb 25, 2020
Xien Liu, Song Wang, Xiao Zhang, Xinxin You, Ji Wu, Dejing Dou


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Curriculum Audiovisual Learning

Jan 26, 2020
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou


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Searching for Stage-wise Neural Graphs In the Limit

Dec 30, 2019
Xin Zhou, Dejing Dou, Boyang Li


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Does Interpretability of Neural Networks Imply Adversarial Robustness?

Dec 07, 2019
Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li


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A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency

Nov 17, 2019
Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen


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NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks

Oct 15, 2019
Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan


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Learning Conceptual-Contexual Embeddings for Medical Text

Aug 16, 2019
Xiao Zhang, Dejing Dou, Ji Wu


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Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control

Jul 07, 2019
Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou


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Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures

Jul 07, 2019
Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou


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Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness

Jun 02, 2019
NhatHai Phan, Minh Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai

* arXiv admin note: text overlap with arXiv:1903.09822 

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Logic Rules Powered Knowledge Graph Embedding

Mar 09, 2019
Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, Lianwen Jin


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On Adversarial Examples for Character-Level Neural Machine Translation

Jun 23, 2018
Javid Ebrahimi, Daniel Lowd, Dejing Dou

* COLING 2018 

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HotFlip: White-Box Adversarial Examples for Text Classification

May 24, 2018
Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou

* ACL 2018 

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Preserving Differential Privacy in Convolutional Deep Belief Networks

Apr 23, 2018
NhatHai Phan, Xintao Wu, Dejing Dou


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Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning

Apr 23, 2018
NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou

* IEEE ICDM 2017 - regular paper 

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A Probabilistic Approach to Knowledge Translation

Jul 12, 2015
Shangpu Jiang, Daniel Lowd, Dejing Dou


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Ontology Matching with Knowledge Rules

Jul 11, 2015
Shangpu Jiang, Daniel Lowd, Dejing Dou


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