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Hyper Attention Recurrent Neural Network: Tackling Temporal Covariate Shift in Time Series Analysis



Wenying Duan , Xiaoxi He , Lu Zhou , Zimu Zhou , Lothar Thiele , Hong Rao

* 6 pages, 4 figures 

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Memory-Aware Partitioning of Machine Learning Applications for Optimal Energy Use in Batteryless Systems



Andres Gomez , Andreas Tretter , Pascal Alexander Hager , Praveenth Sanmugarajah , Luca Benini , Lothar Thiele


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Using system context information to complement weakly labeled data



Matthias Meyer , Michaela Wenner , Clément Hibert , Fabian Walter , Lothar Thiele

* Also appears in "Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)" arXiv:2107.03690 

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Measuring what Really Matters: Optimizing Neural Networks for TinyML



Lennart Heim , Andreas Biri , Zhongnan Qu , Lothar Thiele


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Deep Partial Updating



Zhongnan Qu , Cong Liu , Junfeng Guo , Lothar Thiele


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Adaptive Loss-aware Quantization for Multi-bit Networks



Zhongnan Qu , Zimu Zhou , Yun Cheng , Lothar Thiele


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Disentangling Redundancy for Multi-Task Pruning



Xiaoxi He , Dawei Gao , Zimu Zhou , Yongxin Tong , Lothar Thiele


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Event-triggered Natural Hazard Monitoring with Convolutional Neural Networks on the Edge



Matthias Meyer , Timo Farei-Campagna , Akos Pasztor , Reto Da Forno , Tonio Gsell , Samuel Weber , Jan Beutel , Lothar Thiele


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Multi-Task Zipping via Layer-wise Neuron Sharing



Xiaoxi He , Zimu Zhou , Lothar Thiele


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Unsupervised Feature Learning for Audio Analysis



Matthias Meyer , Jan Beutel , Lothar Thiele

* Presented at the 5th International Conference on Learning Representations (ICLR) 2017, Workshop Track, Toulon, France 

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