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conftrace_

neural network training

337 papers

NNT

Papers

Proximal Backpropagation ICLR 2018 Regularizing by the Variance of the Activations' Sample-Variances NeurIPS 2018 Single-Agent Policy Tree Search With Guarantees NeurIPS 2018 Spotlight: Optimizing Device Placement for Training Deep Neural Networks ICML 2018 Step Size Matters in Deep Learning NeurIPS 2018 Training Deep Neural Networks with 8-bit Floating Point Numbers NeurIPS 2018 Training DNNs with Hybrid Block Floating Point NeurIPS 2018 Understanding Short-Horizon Bias in Stochastic Meta-Optimization ICLR 2018 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NeurIPS 2017 Annealed f-Smoothing as a Mechanism to Speed up Neural Network Training Interspeech 2017 Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NeurIPS 2017 Global Optimality in Neural Network Training CVPR 2017 Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks NeurIPS 2017 Non-convex Finite-Sum Optimization Via SCSG Methods NeurIPS 2017 On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks NeurIPS 2017 QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding NeurIPS 2017 Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks EMNLP 2017 Riemannian approach to batch normalization NeurIPS 2017 Robust Optimization for Non-Convex Objectives NeurIPS 2017 Sobolev Training for Neural Networks NeurIPS 2017 The Marginal Value of Adaptive Gradient Methods in Machine Learning NeurIPS 2017 Train longer, generalize better: closing the generalization gap in large batch training of neural networks NeurIPS 2017 Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features COLING 2016 Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach JMLR 2016 FireCaffe: Near-Linear Acceleration of Deep Neural Network Training on Compute Clusters CVPR 2016