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Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery

Sep 10, 2021
Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel Weld, Tom Hope

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Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems

Nov 01, 2021
Jeremy Yu, Lu Lu, Xuhui Meng, George Em Karniadakis

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BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking

Aug 08, 2021
Mojtaba Heydari, Frank Cwitkowitz, Zhiyao Duan

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Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements

Jun 26, 2019
Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang

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Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

Jul 15, 2019
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft

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Deep Neural Network Voice Activity Detector for Downsampled Audio Data: An Experiment Report

Aug 12, 2021
Mikael Ovaska, Joni Kultanen, Teemu Autto, Joonas Uusnäkki, Antti Kariluoto, Joonas Himmanen, Mikko Virtaneva, Pasi Kaitila, Pekka Abrahamsson

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Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning

Oct 26, 2021
Kibeom Kim, Min Whoo Lee, Yoonsung Kim, Je-Hwan Ryu, Minsu Lee, Byoung-Tak Zhang

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Temporal Network Embedding via Tensor Factorization

Aug 22, 2021
Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho

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Expected Information Maximization: Using the I-Projection for Mixture Density Estimation

Jan 23, 2020
Philipp Becker, Oleg Arenz, Gerhard Neumann

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Out-of-Category Document Identification Using Target-Category Names as Weak Supervision

Nov 24, 2021
Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu

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