Optimization

Gradient-Based Inference for Networks with Output Constraints AAAI 2019 Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019 Gradient Descent for One-Hidden-Layer Neural Networks: Polynomial Convergence and SQ Lower Bounds COLT 2019 HAQ: Hardware-Aware Automated Quantization With Mixed Precision CVPR 2019 How degenerate is the parametrization of neural networks with the ReLU activation function? NeurIPS 2019 Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior CVPR 2019 Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition EMNLP 2019 Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention EMNLP 2019 Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale Interspeech 2019 Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth CVPR 2019 Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods AAAI 2019 Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks CVPR 2019 Learning One-hidden-layer Neural Networks under General Input Distributions AISTATS 2019 Learning One-hidden-layer ReLU Networks via Gradient Descent AISTATS 2019 Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss CVPR 2019 Lifted Proximal Operator Machines AAAI 2019 Local SGD Converges Fast and Communicates Little ICLR 2019 Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization NeurIPS 2019 MAGSAC: Marginalizing Sample Consensus CVPR 2019 Making Asynchronous Stochastic Gradient Descent Work for Transformers EMNLP 2019 Manifold-Valued Image Generation with Wasserstein Generative Adversarial Nets AAAI 2019 Massively scalable Sinkhorn distances via the Nyström method NeurIPS 2019 Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019 Meta-Learning With Differentiable Convex Optimization CVPR 2019 MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer AAAI 2019