Co-occurring keywords · papers mentioning both
Papers
Lipschitz regularity of deep neural networks: analysis and efficient estimation
NeurIPS 2018
Maximum Principle Based Algorithms for Deep Learning
JMLR 2018
Model-free, Model-based, and General Intelligence
IJCAI 2018
NISP: Pruning Networks Using Neuron Importance Score Propagation
CVPR 2018
On the Local Hessian in Back-propagation
NeurIPS 2018
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
ICML 2018
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition
CVPR 2018
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
NeurIPS 2018
Porcupine Neural Networks: Approximating Neural Network Landscapes
NeurIPS 2018
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization
NeurIPS 2018
Removing the Feature Correlation Effect of Multiplicative Noise
NeurIPS 2018
Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
CVPR 2018
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
IJCAI 2018
Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip
ICLR 2018
Speech Intelligibility Enhancement Based on a Non-causal Wavenet-like Model
Interspeech 2018
Spotlight: Optimizing Device Placement for Training Deep Neural Networks
ICML 2018
Stabilizing Adversarial Nets with Prediction Methods
ICLR 2018
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
ICLR 2018
Surprising properties of dropout in deep networks
JMLR 2018
Synaptic Strength For Convolutional Neural Network
NeurIPS 2018
The Lovász-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
CVPR 2018
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network
NeurIPS 2018
Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks
CVPR 2018
Towards Effective Low-Bitwidth Convolutional Neural Networks
CVPR 2018
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
CVPR 2018