Optimization & Theory

Fast End-to-End Trainable Guided Filter CVPR 2018 Faster Neural Networks Straight from JPEG NeurIPS 2018 Fast generalization error bound of deep learning from a kernel perspective AISTATS 2018 FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network NeurIPS 2018 Fast Spectral Ranking for Similarity Search CVPR 2018 Feature Quantization for Defending Against Distortion of Images CVPR 2018 Frank-Wolfe with Subsampling Oracle ICML 2018 Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NeurIPS 2018 Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks NeurIPS 2018 GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NeurIPS 2018 Global Optimality Conditions for Deep Neural Networks ICLR 2018 GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration NeurIPS 2018 Gradient Descent Learns One-hidden-layer CNN: Don’t be Afraid of Spurious Local Minima ICML 2018 Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018 Gradient Hard Thresholding Pursuit JMLR 2018 Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models AISTATS 2018 GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NeurIPS 2018 GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking NeurIPS 2018 Hessian-based Analysis of Large Batch Training and Robustness to Adversaries NeurIPS 2018 Heterogeneous Bitwidth Binarization in Convolutional Neural Networks NeurIPS 2018 HitNet: Hybrid Ternary Recurrent Neural Network NeurIPS 2018 How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS 2018 How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective NeurIPS 2018 How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD NeurIPS 2018 How to Start Training: The Effect of Initialization and Architecture NeurIPS 2018