Neural Network Optimization

Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling IJCAI 2020 Shallow-to-Deep Training for Neural Machine Translation EMNLP 2020 Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth NeurIPS 2020 ShiftAddNet: A Hardware-Inspired Deep Network NeurIPS 2020 Siamese Box Adaptive Network for Visual Tracking CVPR 2020 SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines AAAI 2020 Sideways: Depth-Parallel Training of Video Models CVPR 2020 Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee ICLR 2020 Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations NeurIPS 2020 SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection AAAI 2020 Soft Multicopter Control Using Neural Dynamics Identification CoRL 2020 SoftSort: A Continuous Relaxation for the argsort Operator ICML 2020 SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020 Sparse Weight Activation Training NeurIPS 2020 Sparsity-Inducing Binarized Neural Networks AAAI 2020 SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes ICLR 2020 SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization CVPR 2020 SP-NAS: Serial-to-Parallel Backbone Search for Object Detection CVPR 2020 Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses NeurIPS 2020 Stabilizing Differentiable Architecture Search via Perturbation-based Regularization ICML 2020 Stable and expressive recurrent vision models NeurIPS 2020 Stable Rank Normalization for Improved Generalization in Neural Networks and GANs ICLR 2020 STEER : Simple Temporal Regularization For Neural ODE NeurIPS 2020 Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020 Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization ICML 2020