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Kurt Keutzer | Bichen Wu | Daniel Rothchild | Joseph Gonzalez | Bohan Zhai | Tianren Gao | Flora Xue
[1] Luciano Lavagno,et al. Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs , 2018, FPGA.
[2] Erich Elsen,et al. Efficient Neural Audio Synthesis , 2018, ICML.
[3] Sercan Ömer Arik,et al. Deep Voice 3: 2000-Speaker Neural Text-to-Speech , 2017, ICLR 2018.
[4] Heiga Zen,et al. WaveNet: A Generative Model for Raw Audio , 2016, SSW.
[5] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[6] Jan Skoglund,et al. LPCNET: Improving Neural Speech Synthesis through Linear Prediction , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[7] Kurt Keutzer,et al. SqueezeNext: Hardware-Aware Neural Network Design , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[8] Yuandong Tian,et al. FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Kurt Keutzer,et al. SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[10] Bichen Wu,et al. Efficient Deep Neural Networks , 2019, ArXiv.
[11] Navdeep Jaitly,et al. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions , 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[12] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Kurt Keutzer,et al. Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[14] Ryan Prenger,et al. Waveglow: A Flow-based Generative Network for Speech Synthesis , 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[15] Kurt Keutzer,et al. SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[16] Forrest N. Iandola,et al. SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[17] Forrest N. Iandola,et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size , 2016, ArXiv.