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December 14, 2021 Donglai Xiang, Fabián Prada, Timur Bagautdinov, Weipeng Xu, Yuan Dong, He Wen, Jessica Hodgins, Chenglei Wu
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Modeling Clothing as a Separate Layer for an Animatable Human Avatar

We then train a new two-layer codec avatar with separate modeling of the upper clothing and the inner body layer. To learn the interaction between the body dynamics and clothing states, we use a temporal convolution network to predict the clothing latent code based on a sequence of input skeletal poses. We show photorealistic animation output for three different actors, and demonstrate the advantage of our clothed-body avatars over the single-layer avatars used in previous work.
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December 13, 2021 Yangyang Xia, Buye Xu, Anurag Kumar
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Incorporating Real-world Noisy Speech in Neural-network-based Speech Enhancement Systems

In this paper, we explore methods that enable supervised speech enhancement systems to train on real-world degraded speech data. Specifically, we propose a semi-supervised approach for speech enhancement in which we first train a modified vector-quantized variational autoencoder that solves a source separation task.
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December 13, 2021 Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed
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Kaizen: Continuously Improving Teacher Using Exponential Moving Average For Semi-supervised Speech Recognition

In this paper, we introduce the Kaizen framework that uses a continuously improving teacher to generate pseudo-labels for semi-supervised speech recognition (ASR). The proposed approach uses a teacher model which is updated as the exponential moving average (EMA) of the student model parameters.
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December 5, 2021 Julián Mestre, Sergey Pupyrev, Seeun William Umboh
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On the Extended TSP Problem

We initiate the theoretical study of Ext-TSP, a problem that originates in the area of profile-guided binary optimization.
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November 18, 2021 Bjoern Haefner, Simon Green, Alan Oursland, Daniel Andersen, Michael Goesele, Daniel Cremers, Richard Newcombe, Thomas Whelan
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Recovering Real-World Reflectance Properties and Shading From HDR Imagery

We propose a method to estimate the bidirectional reflectance distribution function (BRDF) and shading of complete scenes under static illumination given the 3D scene geometry and a corresponding high dynamic range (HDR) video.
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November 10, 2021 Marzieh Saeidi, Majid Yazdani, Andreas Vlachos
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Cross-Policy Compliance Detection via Question Answering

In this paper we propose to address policy compliance detection via decomposing it into question answering, where questions check whether the conditions stated in the policy apply to the scenario, and an expression tree combines the answers to obtain the label. Despite the initial upfront annotation cost, we demonstrate that this approach results in better accuracy, especially in the cross-policy setup where the policies during testing are unseen in training.
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November 9, 2021 Verna Dankers, Anna Langedijk, Kate McCurdy, Adina Williams, Dieuwke Hupkes
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Generalising to German Plural Noun Classes, from the Perspective of a Recurrent Neural Network

Here, in line with that tradition, we explore how recurrent neural networks acquire the complex German plural system and reflect upon how their strategy compares to human generalisation and rule-based models of this system.
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November 7, 2021 Shuo Sun, Ahmed El-Kishky, Vishrav Chaudhary, James Cross, Francisco Guzmán, Lucia Specia
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Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications

In this work, we evaluate several model compression techniques for QE and find that, despite their popularity in other NLP tasks, they lead to poor performance in this regression setting.
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November 6, 2021 Rami Aly, Zhijiang Guo, Michael Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal
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FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information

In this paper we introduce a novel dataset and benchmark, Fact Extraction and VERification Over Unstructured and Structured information (FEVEROUS), which consists of 87,026 verified claims.
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November 2, 2021 Bernhard Möller, Peter O'Hearn, Tony Hoare
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On Algebra of Program Correctness and Incorrectness

Here, we use a Kleene algebra with diamond operators and countable joins of tests, which embeds IL, and which also is complete for reasoning about the image of the embedding.
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