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Yuandong Tian | Kurt Keutzer | Peter Vajda | Peizhao Zhang | Bichen Wu | Yanghan Wang | Bichen Wu | K. Keutzer | Yuandong Tian | Péter Vajda | Peizhao Zhang | Yanghan Wang
[1] Yiming Yang,et al. DARTS: Differentiable Architecture Search , 2018, ICLR.
[2] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[3] Igor Carron,et al. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks , 2016 .
[4] Ian D. Reid,et al. Training Compact Neural Networks with Binary Weights and Low Precision Activations , 2018, ArXiv.
[5] Jae-Joon Han,et al. Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Ludovic Denoyer,et al. Learning Time/Memory-Efficient Deep Architectures with Budgeted Super Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] R. J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[8] Jakob Verbeek,et al. Convolutional Neural Fabrics , 2016, NIPS.
[9] Jae-Joon Han,et al. Joint Training of Low-Precision Neural Network with Quantization Interval Parameters , 2018, ArXiv.
[10] Song Han,et al. Trained Ternary Quantization , 2016, ICLR.
[11] Swagath Venkataramani,et al. PACT: Parameterized Clipping Activation for Quantized Neural Networks , 2018, ArXiv.
[12] Song Han,et al. AMC: AutoML for Model Compression and Acceleration on Mobile Devices , 2018, ECCV.
[13] Yoshua Bengio,et al. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation , 2013, ArXiv.
[14] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Shenghuo Zhu,et al. Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM , 2017, AAAI.
[16] Quoc V. Le,et al. Neural Architecture Search with Reinforcement Learning , 2016, ICLR.
[17] Quoc V. Le,et al. Efficient Neural Architecture Search via Parameter Sharing , 2018, ICML.
[18] Graham W. Taylor,et al. Improved Regularization of Convolutional Neural Networks with Cutout , 2017, ArXiv.
[19] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[20] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[21] Shuchang Zhou,et al. DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients , 2016, ArXiv.
[22] Ali Farhadi,et al. Label Refinery: Improving ImageNet Classification through Label Progression , 2018, ArXiv.
[23] Song Han,et al. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding , 2015, ICLR.
[24] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Yee Whye Teh,et al. The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables , 2016, ICLR.
[26] Ben Poole,et al. Categorical Reparameterization with Gumbel-Softmax , 2016, ICLR.