← Keywords

neural network training

309 papers

Explore in graph

Also known as

DNN NNT

Co-occurring keywords

neural network (6616) neural network optimization (1293) stochastic gradient descent (1088) gradient descent (1143) model compression (3283) deep neural network (1801) stochastic optimization (1060) deep learning (2111) batch normalization (222) non-convex optimization (546)

Papers

Overparameterized Nonlinear Learning: Gradient Descent Takes the Shortest Path? ICML 2019
A New GAN-Based End-to-End TTS Training Algorithm INTERSPEECH 2019
Demystifying Dropout ICML 2019
Overcoming Multi-model Forgetting ICML 2019
EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019
Biologically Motivated Algorithms for Propagating Local Target Representations AAAI 2019
Superposition of many models into one NIPS 2019
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences NIPS 2019
LCA: Loss Change Allocation for Neural Network Training NIPS 2019
Efficient Rematerialization for Deep Networks NIPS 2019
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students AAAI 2019
Measuring the Effects of Data Parallelism on Neural Network Training JMLR 2019
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees AAAI 2019
Data-driven Onboard Scheduling for an Autonomous Observation Satellite IJCAI 2018
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization NIPS 2018
A PID Controller Approach for Stochastic Optimization of Deep Networks CVPR 2018
Regularizing by the Variance of the Activations' Sample-Variances NIPS 2018
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks ICML 2018
PCA of high dimensional random walks with comparison to neural network training NIPS 2018
Training Deep Neural Networks with 8-bit Floating Point Numbers NIPS 2018
Single-Agent Policy Tree Search With Guarantees NIPS 2018
Training DNNs with Hybrid Block Floating Point NIPS 2018
Not All Samples Are Created Equal: Deep Learning with Importance Sampling ICML 2018
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering ACML 2018
Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018