Neural Network Optimization

Learning Reasoning Strategies in End-to-End Differentiable Proving ICML 2020 Learning to Branch for Multi-Task Learning ICML 2020 Learning to Mutate with Hypergradient Guided Population NeurIPS 2020 Learning to Optimize Non-Rigid Tracking CVPR 2020 Learning to solve the credit assignment problem ICLR 2020 Learning to solve TV regularised problems with unrolled algorithms NeurIPS 2020 Learning To Stop While Learning To Predict ICML 2020 Learning with Differentiable Pertubed Optimizers NeurIPS 2020 Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition CVPR 2020 Limits to Depth Efficiencies of Self-Attention NeurIPS 2020 Linearly Converging Error Compensated SGD NeurIPS 2020 Linear Mode Connectivity and the Lottery Ticket Hypothesis ICML 2020 Lipschitz Constrained Parameter Initialization for Deep Transformers ACL 2020 Local Context Normalization: Revisiting Local Normalization CVPR 2020 Logarithmic Pruning is All You Need NeurIPS 2020 Long Document Ranking with Query-Directed Sparse Transformer EMNLP 2020 Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks ICML 2020 Low-loss connection of weight vectors: distribution-based approaches ICML 2020 LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks IJCAI 2020 LVCSR with Transformer Language Models Interspeech 2020 Marthe: Scheduling the Learning Rate Via Online Hypergradients IJCAI 2020 MaskGEC: Improving Neural Grammatical Error Correction via Dynamic Masking AAAI 2020 Meta-Learning with Warped Gradient Descent ICLR 2020 MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles NeurIPS 2020 MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020