Explore the latest research from Facebook

All Publications

December 13, 2021 Yangyang Xia, Buye Xu, Anurag Kumar
Paper

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.
Paper
November 10, 2021 Marzieh Saeidi, Majid Yazdani, Andreas Vlachos
Paper

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.
Paper
November 7, 2021 Shuo Sun, Ahmed El-Kishky, Vishrav Chaudhary, James Cross, Francisco Guzmán, Lucia Specia
Paper

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.
Paper
November 2, 2021 Bernhard Möller, Peter O'Hearn, Tony Hoare
Paper

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.
Paper
November 1, 2021 Xiuyan Ni, Shujian Bu, Lucas Adams, Igor L. Markov
Paper

Prioritizing Original News on Facebook

This work outlines how we prioritize original news, a critical indicator of news quality. By examining the landscape and lifecycle of news posts on our social media platform, we identify challenges of building and deploying an originality score.
Paper
October 31, 2021 Pedro Rodriguez, Jordan Boyd-Graber
Paper

Evaluation Paradigms in Question Answering

This position paper names and distinguishes these paradigms. Despite substantial overlap, subtle but significant distinctions exert an outsize influence on research. While one evaluation paradigm values creating more intelligent QA systems, the other paradigm values building QA systems that appeal to users.
Paper
October 20, 2021 Sachin Mehta, Amit Kumar, Fitsum Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra
Paper

EVRNet: Efficient Video Restoration on Edge Devices

In video transmission applications, video signals are transmitted over lossy channels, resulting in low-quality received signals. To restore videos on recipient edge devices in real-time, we introduce an efficient video restoration network, EVRNet.
Paper
October 19, 2021 Antti E. J. Hyvärinen, Matteo Marescotti, Natasha Sharygina
Paper

Lookahead in Partitioning SMT

This paper addresses both of these observations. We give a hybrid algorithm that integrates lookahead into the state-based representation of an SMT solver and show that in the vast majority of cases it is possible to compute full lookahead up to depth four on inexpensive theories.
Paper
October 11, 2021 Hao Jiang, Vamsi Krishna Ithapu
Paper

Egocentric Pose Estimation from Human Vision Span

In this paper, we tackle the egopose estimation from a more natural human vision span, where camera wearer can be seen in the peripheral view and depending on the head pose the wearer may become invisible or has a limited partial view.
Paper
October 10, 2021 Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin
Paper

Emerging Properties in Self-Supervised Vision Transformers

In this paper, we question if self-supervised learning provides new properties to Vision Transformer (ViT) [16] that stand out compared to convolutional networks (convnets).
Paper