This is the PaperBase of Bryce

1. Convergence analysis of two-layer neural networks with ReLU activation (2017)
2. Learning One-hidden-layer Neural Networks with Landscape Design (2017)
3. Identifying Generalization Properties in Neural Networks (2018)

1. Improving shape deformation (2018)
2. Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization (2018)
3. Recycle-GAN: Unsupervised Video Retargeting (2018)
4. Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks (2018)

1. Deep Learning with Low Precision by Half-wave Gaussian Quantization (2017)
2. Model Compression via Distillation and Quantization (2018)
3. Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks (2016)
4. Training Binarized Neural Networks with Quantized Gradients (2018)
5. Multiple-gaze geometry: Inferring novel 3D locations from gazes observed in monocular video (2018)
6. Learning SO(3) Equivariant Representations with Spherical CNNs (2018)

1. Identity Mappings in Deep Residual Networks (2016)
2. Scalable Methods for 8-bit Training of Neural Networks (2018)
3. WRPN: Wide Reduced-Precision Networks (2017)
4. Weighted-Entropy-based Quantization for Deep Neural Networks (2017)