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  • Publication . Preprint . Conference object . 2021
    Open Access English
    Authors: 
    Emily Black; Matt Fredrikson;
    Project: NSF | SaTC: CORE: Large: Collab... (1704845)

    We introduce leave-one-out unfairness, which characterizes how likely a model's prediction for an individual will change due to the inclusion or removal of a single other person in the model's training data. Leave-one-out unfairness appeals to the idea that fair decisio...

  • Open Access
    Authors: 
    Reid, Machel; Hu, Junjie; Neubig, Graham; Matsuo, Yutaka;
    Publisher: Association for Computational Linguistics

    Reproducible benchmarks are crucial in driving progress of machine translation research. However, existing machine translation benchmarks have been mostly limited to high-resource or well-represented languages. Despite an increasing interest in low-resource machine tran...

  • Publication . Preprint . 2019
    Open Access English
    Authors: 
    Balle, Borja; Bell, James; Gascon, Adria; Nissim, Kobbi;
    Project: UKRI | The Alan Turing Institute (EP/N510129/1)

    A protocol by Ishai et al.\ (FOCS 2006) showing how to implement distributed $n$-party summation from secure shuffling has regained relevance in the context of the recently proposed \emph{shuffle model} of differential privacy, as it allows to attain the accuracy levels...

  • Open Access English
    Authors: 
    Iyyer, Mohit; Wieting, John; Gimpel, Kevin; Zettlemoyer, Luke;

    We propose syntactically controlled paraphrase networks (SCPNs) and use them to generate adversarial examples. Given a sentence and a target syntactic form (e.g., a constituency parse), SCPNs are trained to produce a paraphrase of the sentence with the desired syntax. W...

  • Publication . Preprint . Conference object . 2019
    Open Access English
    Authors: 
    Suyoun Kim; Florian Metze;
    Project: NSF | Bridges: From Communities... (1445606)

    Conversational context information, higher-level knowledge that spans across sentences, can help to recognize a long conversation. However, existing speech recognition models are typically built at a sentence level, and thus it may not capture important conversational c...

  • Open Access English
    Authors: 
    Dan, Chen; Wang, Hong; Zhang, Hongyang; Zhou, Yuchen; Ravikumar, Pradeep;

    We study the low rank approximation problem of any given matrix $A$ over $\mathbb{R}^{n\times m}$ and $\mathbb{C}^{n\times m}$ in entry-wise $\ell_p$ loss, that is, finding a rank-$k$ matrix $X$ such that $\|A-X\|_p$ is minimized. Unlike the traditional $\ell_2$ setting...

  • Publication . Conference object . Preprint . 2017
    Open Access
    Authors: 
    Wang, Chaoyang; Buenaposada, Jose Miguel; Zhu, Rui; Lucey, Simon;
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)

    The ability to predict depth from a single image - using recent advances in CNNs - is of increasing interest to the vision community. Unsupervised strategies to learning are particularly appealing as they can utilize much larger and varied monocular video datasets durin...

  • Open Access English
    Authors: 
    Almaadeed, Noor; Elharrouss, Omar; Al-Maadeed, Somaya; Bouridane, Ahmed; Beghdadi, Azeddine;

    Human actions in videos are 3D signals. However, there are a few methods available for multiple human action recognition. For long videos, it's difficult to search within a video for a specific action and/or person. For that, this paper proposes a new technic for multip...

  • Publication . Conference object . Preprint . 2018
    Open Access English
    Authors: 
    Ma, Xuezhe; Hu, Zecong; Liu, Jingzhou; Peng, Nanyun; Neubig, Graham; Hovy, Eduard;

    We introduce a novel architecture for dependency parsing: \emph{stack-pointer networks} (\textbf{\textsc{StackPtr}}). Combining pointer networks~\citep{vinyals2015pointer} with an internal stack, the proposed model first reads and encodes the whole sentence, then builds...

  • Open Access
    Authors: 
    Rogerio Bonatti; Arthur Bucker; Sebastian Scherer; Mustafa Mukadam; Jessica K. Hodgins;
    Publisher: IEEE

    Aerial vehicles are revolutionizing the way film-makers can capture shots of actors by composing novel aerial and dynamic viewpoints. However, despite great advancements in autonomous flight technology, generating expressive camera behaviors is still a challenge and req...