Optimization & Theory

Post training 4-bit quantization of convolutional networks for rapid-deployment NeurIPS 2019 PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization NeurIPS 2019 PRADO: Projection Attention Networks for Document Classification On-Device EMNLP 2019 Preconditioner on Matrix Lie Group for SGD ICLR 2019 Private Model Compression via Knowledge Distillation AAAI 2019 Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation ICCV 2019 Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation AAAI 2019 ProSeqo: Projection Sequence Networks for On-Device Text Classification EMNLP 2019 Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019 QADiver: Interactive Framework for Diagnosing QA Models AAAI 2019 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NeurIPS 2019 Quantization Networks CVPR 2019 Quasi-hyperbolic momentum and Adam for deep learning ICLR 2019 Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking AAAI 2019 ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs AAAI 2019 Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index ACL 2019 RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019 Recurrent U-Net for Resource-Constrained Segmentation ICCV 2019 Reducing Noise in GAN Training with Variance Reduced Extragradient NeurIPS 2019 Reducing the variance in online optimization by transporting past gradients NeurIPS 2019 Reflection Removal Using a Dual-Pixel Sensor CVPR 2019 Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel NeurIPS 2019 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019 Regularizing Activation Distribution for Training Binarized Deep Networks CVPR 2019 Regularizing Neural Networks via Stochastic Branch Layers ACML 2019