neural network training

A General and Adaptive Robust Loss Function CVPR 2019 A New GAN-Based End-to-End TTS Training Algorithm Interspeech 2019 An Investigation into Neural Net Optimization via Hessian Eigenvalue Density ICML 2019 A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning IJCAI 2019 A Walkthrough for the Principle of Logit Separation IJCAI 2019 Beyond Backprop: Online Alternating Minimization with Auxiliary Variables ICML 2019 Biologically Motivated Algorithms for Propagating Local Target Representations AAAI 2019 Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees AAAI 2019 Data-Dependence of Plateau Phenomenon in Learning with Neural Network --- Statistical Mechanical Analysis NeurIPS 2019 Demystifying Dropout ICML 2019 EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019 Efficient Rematerialization for Deep Networks NeurIPS 2019 Energy and Policy Considerations for Deep Learning in NLP ACL 2019 Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization AISTATS 2019 Generalized Batch Normalization: Towards Accelerating Deep Neural Networks AAAI 2019 How degenerate is the parametrization of neural networks with the ReLU activation function? NeurIPS 2019 HyperAdam: A Learnable Task-Adaptive Adam for Network Training AAAI 2019 Is artificial data useful for biomedical Natural Language Processing algorithms? ACL 2019 LCA: Loss Change Allocation for Neural Network Training NeurIPS 2019 Learning Generalizable Device Placement Algorithms for Distributed Machine Learning NeurIPS 2019 Learning One-hidden-layer ReLU Networks via Gradient Descent AISTATS 2019 Measuring the Effects of Data Parallelism on Neural Network Training JMLR 2019 MetaInit: Initializing learning by learning to initialize NeurIPS 2019 Online Normalization for Training Neural Networks NeurIPS 2019 On The Power of Curriculum Learning in Training Deep Networks ICML 2019