Optimization & Theory

A Neurobiological Evaluation Metric for Neural Network Model Search CVPR 2019 An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints NeurIPS 2019 ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs IJCAI 2019 Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019 Approximate Feature Collisions in Neural Nets NeurIPS 2019 Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019 Are deep ResNets provably better than linear predictors? NeurIPS 2019 Are Girls Neko or Shōjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization ACL 2019 A Solvable High-Dimensional Model of GAN NeurIPS 2019 A Sufficient Condition for Convergences of Adam and RMSProp CVPR 2019 Asymmetric Valleys: Beyond Sharp and Flat Local Minima NeurIPS 2019 A Tensorized Transformer for Language Modeling NeurIPS 2019 A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI AAAI 2019 A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning CVPR 2019 Attention is not not Explanation EMNLP 2019 Auditing Deep Learning processes through Kernel-based Explanatory Models EMNLP 2019 A unified variance-reduced accelerated gradient method for convex optimization NeurIPS 2019 AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NeurIPS 2019 AutoFocus: Efficient Multi-Scale Inference ICCV 2019 AutoLoss: Learning Discrete Schedule for Alternate Optimization ICLR 2019 Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation EMNLP 2019 AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks AAAI 2019 Balanced Sparsity for Efficient DNN Inference on GPU AAAI 2019 Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era AISTATS 2019 Band-limited Training and Inference for Convolutional Neural Networks ICML 2019