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DoWhy: An End-to-End Library for Causal Inference


Authors:  AmitSharma, EmreKiciman....
Published date-11/09/2020
Tasks:  CausalInference

Abstract: In addition to efficient statistical estimators of a treatment's effect, successful application of causal inference requires specifying assumptions about the mechanisms underlying observed data and testing whether they are valid, …

Scaling Hidden Markov Language Models


Authors:  JustinT.Chiu, AlexanderM.Rush....
Published date-11/09/2020
Tasks:  LanguageModelling

Abstract: The hidden Markov model (HMM) is a fundamental tool for sequence modeling that cleanly separates the hidden state from the emission structure. However, this separation makes it difficult to fit …

COVID-19 Patient Detection from Telephone Quality Speech Data


Authors:  KotraVenkataSaiRitwik, ShareefBabuKalluri, DeepuVijayasenan....
Published date-11/09/2020
Tasks:  SpeakerRecognition

Abstract: In this paper, we try to investigate the presence of cues about the COVID-19 disease in the speech data. We use an approach that is similar to speaker recognition. Each …

ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes


Authors:  KejunLi, MaeganTucker, ErdemBiyik....
Published date-11/09/2020
Tasks:  ActiveLearning

Abstract: Characterizing what types of exoskeleton gaits are comfortable for users, and understanding the science of walking more generally, require recovering a user's utility landscape. Learning these landscapes is challenging, as …

Nanopore Base Calling on the Edge


Authors:  PeterPerešíni, VladimírBoža, BroňaBrejová....
Published date-11/09/2020
Tasks:  SpeechRecognition

Abstract: We developed a new base caller DeepNano-coral for nanopore sequencing, which is optimized to run on the Coral Edge Tensor Processing Unit, a small USB-attached hardware accelerator. To achieve this …

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition


Authors:  JacekKomorowski....
Published date-11/09/2020

Abstract: The paper presents a learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes. Existing methods, such as PointNetVLAD, are based on unordered point cloud representation. …

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