neural network optimization

Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs ICLR 2020 Revisiting Representation Degeneration Problem in Language Modeling EMNLP 2020 Revisiting the Sibling Head in Object Detector CVPR 2020 Robustness Guarantees for Deep Neural Networks on Videos CVPR 2020 Rotated Binary Neural Network NeurIPS 2020 Scheduled DropHead: A Regularization Method for Transformer Models EMNLP 2020 schuBERT: Optimizing Elements of BERT ACL 2020 Self-Distillation Amplifies Regularization in Hilbert Space NeurIPS 2020 Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters WACV 2020 Semantic Label Smoothing for Sequence to Sequence Problems EMNLP 2020 Sideways: Depth-Parallel Training of Video Models CVPR 2020 Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations NeurIPS 2020 Soft Multicopter Control Using Neural Dynamics Identification CoRL 2020 Sparsity-Inducing Binarized Neural Networks AAAI 2020 Stochastic Loss Function AAAI 2020 Structured Compression by Weight Encryption for Unstructured Pruning and Quantization CVPR 2020 Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO WACV 2020 Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture ACL 2020 Taylor Expansion Policy Optimization ICML 2020 The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation CVPR 2020 The HSIC Bottleneck: Deep Learning without Back-Propagation AAAI 2020 The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent ICML 2020 Towards Efficient Model Compression via Learned Global Ranking CVPR 2020 Towards Fast Adaptation of Neural Architectures with Meta Learning ICLR 2020 Towards Fully 8-bit Integer Inference for the Transformer Model IJCAI 2020