1 code implementation • 26 Nov 2018 • Ning Xie, Farley Lai, Derek Doran, Asim Kadav
We introduce a new inference task - Visual Entailment (VE) - which differs from traditional Textual Entailment (TE) tasks whereby a premise is defined by an image, rather than a natural language sentence as in TE tasks.
1 code implementation • 20 Jan 2019 • Ning Xie, Farley Lai, Derek Doran, Asim Kadav
We evaluate various existing VQA baselines and build a model called Explainable Visual Entailment (EVE) system to address the VE task.
Ranked #8 on Visual Entailment on SNLI-VE test
1 code implementation • 15 Jun 2021 • Chaoran Chen, Sarah Nadeau, Michael Yared, Philippe Voinov, Ning Xie, Cornelius Roemer, Tanja Stadler
Summary: The CoV-Spectrum website supports the identification of new SARS-CoV-2 variants of concern and the tracking of known variants.
1 code implementation • 18 Jun 2012 • Ning Xie, Hirotaka Hachiya, Masashi Sugiyama
Oriental ink painting, called Sumi-e, is one of the most appealing painting styles that has attracted artists around the world.
2 code implementations • 17 May 2021 • Junhao Zeng, Qingchun Zhang, Ning Xie, Bochun Yang
The development of intelligent tutoring system has greatly influenced the way students learn and practice, which increases their learning efficiency.
2 code implementations • 9 Nov 2018 • Monireh Ebrahimi, Md. Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Derek Doran, Pascal Hitzler
Semantic Web knowledge representation standards, and in particular RDF and OWL, often come endowed with a formal semantics which is considered to be of fundamental importance for the field.
1 code implementation • 8 Aug 2023 • Yuxia Wang, Shimin Tao, Ning Xie, Hao Yang, Timothy Baldwin, Karin Verspoor
Despite the subjective nature of semantic textual similarity (STS) and pervasive disagreements in STS annotation, existing benchmarks have used averaged human ratings as the gold standard.
no code implementations • 21 Nov 2017 • Ning Xie, Md. Kamruzzaman Sarker, Derek Doran, Pascal Hitzler, Michael Raymer
Many current methods to interpret convolutional neural networks (CNNs) use visualization techniques and words to highlight concepts of the input seemingly relevant to a CNN's decision.
no code implementations • 11 Oct 2017 • Md. Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael Raymer, Pascal Hitzler
The ever increasing prevalence of publicly available structured data on the World Wide Web enables new applications in a variety of domains.
no code implementations • 28 Apr 2014 • Voot Tangkaratt, Ning Xie, Masashi Sugiyama
In such a case, estimating the conditional density itself is preferable, but conditional density estimation (CDE) is challenging in high-dimensional space.
no code implementations • 17 Dec 2016 • Changbo Chen, Svyatoslav Covanov, Farnam Mansouri, Marc Moreno Maza, Ning Xie, Yuzhen Xie
We propose a new algorithm for multiplying dense polynomials with integer coefficients in a parallel fashion, targeting multi-core processor architectures.
Symbolic Computation Mathematical Software
1 code implementation • 5 Nov 2019 • Farley Lai, Ning Xie, Derek Doran, Asim Kadav
Next, the model learns the contextual representations of the text tokens and image objects through layers of high-order interaction respectively.
no code implementations • 20 Mar 2020 • Ning Xie, Ji Hu, Junjie Chen, Qiqi Zhang, Changsheng chen
Our experimental results show that the PVBD scheme can correctly detect the existence of the hidden information at both the 2LQR code and the LCAC 2D barcode.
no code implementations • 30 Apr 2020 • Gabrielle Ras, Ning Xie, Marcel van Gerven, Derek Doran
The field guide: i) Introduces three simple dimensions defining the space of foundational methods that contribute to explainable deep learning, ii) discusses the evaluations for model explanations, iii) places explainability in the context of other related deep learning research areas, and iv) finally elaborates on user-oriented explanation designing and potential future directions on explainable deep learning.
no code implementations • 29 Apr 2020 • Yunlian Lv, Ning Xie, Yimin Shi, Zijiao Wang, Heng Tao Shen
On the other hand, TSE module is used to generate sub-targets which allow agent to learn from failures.
no code implementations • 11 Jun 2020 • Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
We introduce and study the model of list learning with attribute noise.
no code implementations • WS 2020 • Minghan Wang, Hao Yang, Yao Deng, Ying Qin, Lizhi Lei, Daimeng Wei, Hengchao Shang, Ning Xie, Xiaochun Li, Jiaxian Guo
The paper presents details of our system in the IWSLT Video Speech Translation evaluation.
no code implementations • 22 Jul 2020 • Ao Luo, Ning Xie, Zhijia Tao, Feng Jiang
In the application, short-form mobile video is so popular all over the world such as Tik Tok.
no code implementations • 27 Jul 2021 • Chunyi Huang, Mingzhi Zhang, Chengmin Wang, Ning Xie, Jian Wang, Shi Peng
To accommodate the advent of microgrids (MG) managing distributed energy resources (DER) in distribution systems, an interactive two-stage joint retail electricity market mechanism is proposed to provide an effective platform for these prosumers to proactively join in retail transactions.
no code implementations • EAMT 2020 • Hao Yang, Minghan Wang, Ning Xie, Ying Qin, Yao Deng
Compared with the commonly used NuQE baseline, BAL-QE achieves 47% (En-Ru) and 75% (En-De) of performance promotions.
no code implementations • 7 Dec 2021 • Huidong Liu, Shaoyuan Xu, Jinmiao Fu, Yang Liu, Ning Xie, Chien-Chih Wang, Bryan Wang, Yi Sun
In this paper, we propose the Cross-Modality Attention Contrastive Language-Image Pre-training (CMA-CLIP), a new framework which unifies two types of cross-modality attentions, sequence-wise attention and modality-wise attention, to effectively fuse information from image and text pairs.
no code implementations • 24 May 2022 • Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie
In seminal work on DPPs in Machine Learning, Kulesza conjectured in his PhD Thesis (2011) that the problem of finding a maximum likelihood DPP model for a given data set is NP-complete.
no code implementations • 20 Feb 2023 • Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Ning Xie, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller
Subsequently, an algorithm named FederatedTrust is designed based on the pillars and metrics identified in the taxonomy to compute the trustworthiness score of FL models.
no code implementations • 7 May 2023 • Zhitao Liu, Zengyu Liu, Jiwei Wei, Guan Wang, Zhenjiang Du, Ning Xie, Heng Tao Shen
Hence, the performance of cross-modal retrieval methods heavily depends on the representational capacity of this embedding space.