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"Time": models, code, and papers
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Adaptable Multi-Domain Language Model for Transformer ASR

Aug 14, 2020
Taewoo Lee, Min-Joong Lee, Tae Gyoon Kang, Seokyeoung Jung, Minseok Kwon, Yeona Hong, Jungin Lee, Kyoung-Gu Woo, Ho-Gyeong Kim, Jiseung Jeong, Jihyun Lee, Hosik Lee, Young Sang Choi

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RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion

Sep 30, 2020
Youri Xu, E Haihong, Song Meina

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Picking Winning Tickets Before Training by Preserving Gradient Flow

Feb 18, 2020
Chaoqi Wang, Guodong Zhang, Roger Grosse

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Symplectic Gaussian Process Regression of Hamiltonian Flow Maps

Sep 11, 2020
Katharina Rath, Christopher G. Albert, Bernd Bischl, Udo von Toussaint

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Accelerating 2PC-based ML with Limited Trusted Hardware

Sep 11, 2020
Muqsit Nawaz, Aditya Gulati, Kunlong Liu, Vishwajeet Agrawal, Prabhanjan Ananth, Trinabh Gupta

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Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems

Sep 21, 2020
Ziming Li, Julia Kiseleva, Maarten de Rijke

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Olympus: a benchmarking framework for noisy optimization and experiment planning

Oct 08, 2020
Florian Häse, Matteo Aldeghi, Riley J. Hickman, Loïc M. Roch, Melodie Christensen, Elena Liles, Jason E. Hein, Alán Aspuru-Guzik

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ReLeaSER: A Reinforcement Learning Strategy for Optimizing Utilization Of Ephemeral Cloud Resources

Oct 16, 2020
Mohamed Handaoui, Jean-Emile Dartois, Jalil Boukhobza, Olivier Barais, Laurent d'Orazio

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Incremental Text to Speech for Neural Sequence-to-Sequence Models using Reinforcement Learning

Aug 07, 2020
Devang S Ram Mohan, Raphael Lenain, Lorenzo Foglianti, Tian Huey Teh, Marlene Staib, Alexandra Torresquintero, Jiameng Gao

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Demand Prediction Using Machine Learning Methods and Stacked Generalization

Sep 21, 2020
Resul Tugay, Sule Gunduz Oguducu

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