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"Time": models, code, and papers
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Adaptive exponential power distribution with moving estimator for nonstationary time series

Mar 23, 2020
Jarek Duda

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Romanian Speech Recognition Experiments from the ROBIN Project

Nov 23, 2021
Andrei-Marius Avram, Vasile Păiş, Dan Tufiş

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Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines

Nov 07, 2021
Michael Kuchnik, Ana Klimovic, Jiri Simsa, George Amvrosiadis, Virginia Smith

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CovXR: Automated Detection of COVID-19 Pneumonia in Chest X-Rays through Machine Learning

Oct 12, 2021
Vishal Shenoy, Sachin B. Malik

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Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization

Sep 15, 2020
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang

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Stable Lifelong Learning: Spiking neurons as a solution to instability in plastic neural networks

Nov 07, 2021
Samuel Schmidgall, Joe Hays

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A text autoencoder from transformer for fast encoding language representation

Nov 04, 2021
Tan Huang

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Evaluating Contrastive Learning on Wearable Timeseries for Downstream Clinical Outcomes

Nov 13, 2021
Kevalee Shah, Dimitris Spathis, Chi Ian Tang, Cecilia Mascolo

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Neural Tangent Kernel of Matrix Product States: Convergence and Applications

Nov 28, 2021
Erdong Guo, David Draper

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Causal Forecasting:Generalization Bounds for Autoregressive Models

Nov 18, 2021
Leena Chennuru Vankadara, Philipp Michael Faller, Lenon Minorics, Debarghya Ghoshdastidar, Dominik Janzing

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