Optimization & Theory

Event Cameras, Contrast Maximization and Reward Functions: An Analysis CVPR 2019 Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets NeurIPS 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019 Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression CVPR 2019 Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019 Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron AISTATS 2019 Fast Low-rank Metric Learning for Large-scale and High-dimensional Data NeurIPS 2019 FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search CVPR 2019 Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration CVPR 2019 Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias NeurIPS 2019 Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019 Fine-grained Optimization of Deep Neural Networks NeurIPS 2019 Fisher-Rao Metric, Geometry, and Complexity of Neural Networks AISTATS 2019 Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions NeurIPS 2019 Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019 Flambé: A Customizable Framework for Machine Learning Experiments ACL 2019 Fluctuation-dissipation relations for stochastic gradient descent ICLR 2019 Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification ACML 2019 Focused Quantization for Sparse CNNs NeurIPS 2019 Focus Is All You Need: Loss Functions for Event-Based Vision CVPR 2019 From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction NeurIPS 2019 From Research to Production and Back: Ludicrously Fast Neural Machine Translation EMNLP 2019 Fully Learnable Group Convolution for Acceleration of Deep Neural Networks CVPR 2019 Fully Quantized Network for Object Detection CVPR 2019 Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks NeurIPS 2019