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Neural Network Optimization

3,649 papers

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Papers

The Lingering of Gradients: How to Reuse Gradients Over Time NIPS 2018
Sparsified SGD with Memory NIPS 2018
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NIPS 2018
Porcupine Neural Networks: Approximating Neural Network Landscapes NIPS 2018
On the Local Hessian in Back-propagation NIPS 2018
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization NIPS 2018
Transfer Learning with Neural AutoML NIPS 2018
Can We Gain More from Orthogonality Regularizations in Training Deep Networks? NIPS 2018
Breaking the Activation Function Bottleneck through Adaptive Parameterization NIPS 2018
Variance-Reduced Stochastic Gradient Descent on Streaming Data NIPS 2018
Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NIPS 2018
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization NIPS 2018
NEON2: Finding Local Minima via First-Order Oracles NIPS 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation NIPS 2018
How to Start Training: The Effect of Initialization and Architecture NIPS 2018
Stochastic Cubic Regularization for Fast Nonconvex Optimization NIPS 2018
Approximating Real-Time Recurrent Learning with Random Kronecker Factors NIPS 2018
Kalman Normalization: Normalizing Internal Representations Across Network Layers NIPS 2018
Removing the Feature Correlation Effect of Multiplicative Noise NIPS 2018
Step Size Matters in Deep Learning NIPS 2018
Efficient Stochastic Gradient Hard Thresholding NIPS 2018
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced NIPS 2018
Robust and Scalable Differentiable Neural Computer for Question Answering ACL 2018
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting ACL 2018
Chinese NER Using Lattice LSTM ACL 2018