neural network optimization

Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks ICML 2020 Learning a Unified Sample Weighting Network for Object Detection CVPR 2020 Learning Dynamic Routing for Semantic Segmentation CVPR 2020 Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020 Learning Parities with Neural Networks NeurIPS 2020 Learning Sparse Neural Networks for Better Generalization IJCAI 2020 Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020 Learning to Optimize Non-Rigid Tracking CVPR 2020 Local Regularizer Improves Generalization AAAI 2020 Long Short-Term Sample Distillation AAAI 2020 Meta-Learning with Warped Gradient Descent ICLR 2020 MIPaaL: Mixed Integer Program as a Layer AAAI 2020 MoBiNet: A Mobile Binary Network for Image Classification WACV 2020 Modular Block-diagonal Curvature Approximations for Feedforward Architectures AISTATS 2020 Multi-Dimensional Pruning: A Unified Framework for Model Compression CVPR 2020 Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio CVPR 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020 Neural Networks Fail to Learn Periodic Functions and How to Fix It NeurIPS 2020 NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks CVPR 2020 NeurOpt: Neural network based optimization for building energy management and climate control L4DC 2020 New Interpretations of Normalization Methods in Deep Learning AAAI 2020 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis ICML 2020 On Infinite-Width Hypernetworks NeurIPS 2020 On the Computational Power of Transformers and Its Implications in Sequence Modeling CoNLL 2020 On the Convergence of SARAH and Beyond AISTATS 2020