Neural Network Optimization

Learning to Converse with Noisy Data: Generation with Calibration IJCAI 2018 Learning to Teach with Dynamic Loss Functions NeurIPS 2018 Learning with Noise-Contrastive Estimation: Easing training by learning to scale COLING 2018 Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018 Lipschitz regularity of deep neural networks: analysis and efficient estimation NeurIPS 2018 Long Short-Term Memory as a Dynamically Computed Element-wise Weighted Sum ACL 2018 Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics IJCAI 2018 Loss-aware Weight Quantization of Deep Networks ICLR 2018 LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition Interspeech 2018 LSTMs Exploit Linguistic Attributes of Data ACL 2018 Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees ICML 2018 MegDet: A Large Mini-Batch Object Detector CVPR 2018 Memory Time Span in LSTMs for Multi-Speaker Source Separation Interspeech 2018 MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks CVPR 2018 Multi-Head Attention with Disagreement Regularization EMNLP 2018 Multi-level Residual Networks from Dynamical Systems View ICLR 2018 Multilingual Deep Neural Network Training Using Cyclical Learning Rate Interspeech 2018 MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses CVPR 2018 N-ary Relation Extraction using Graph-State LSTM EMNLP 2018 Natasha 2: Faster Non-Convex Optimization Than SGD NeurIPS 2018 NEON2: Finding Local Minima via First-Order Oracles NeurIPS 2018 Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks ICLR 2018 Neural Ranking Models for Temporal Dependency Structure Parsing EMNLP 2018 On Acceleration with Noise-Corrupted Gradients ICML 2018 On Markov Chain Gradient Descent NeurIPS 2018