Neural Network Optimization

MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification EMNLP 2020 Modular Block-diagonal Curvature Approximations for Feedforward Architectures AISTATS 2020 Momentum Improves Normalized SGD ICML 2020 Momentum in Reinforcement Learning AISTATS 2020 MomentumRNN: Integrating Momentum into Recurrent Neural Networks NeurIPS 2020 MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning CVPR 2020 Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation Interspeech 2020 Multi-Scale TCN: Exploring Better Temporal DNN Model for Causal Speech Enhancement Interspeech 2020 MUXConv: Information Multiplexing in Convolutional Neural Networks CVPR 2020 NADS: Neural Architecture Distribution Search for Uncertainty Awareness ICML 2020 NAS-FCOS: Fast Neural Architecture Search for Object Detection CVPR 2020 Nesterov's Acceleration for Approximate Newton JMLR 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020 Neural Architecture Search for Keyword Spotting Interspeech 2020 Neural Arithmetic Units ICLR 2020 Neural Graph Embedding for Neural Architecture Search AAAI 2020 Neural Homomorphic Vocoder Interspeech 2020 Neural Networks Learning and Memorization with (almost) no Over-Parameterization NeurIPS 2020 Neural Policy Gradient Methods: Global Optimality and Rates of Convergence ICLR 2020 Neural Power Units NeurIPS 2020 Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design CoRL 2020 New Insights and Perspectives on the Natural Gradient Method JMLR 2020 New Interpretations of Normalization Methods in Deep Learning AAAI 2020 NITK NLP at FinCausal-2020 Task 1 Using BERT and Linear models. COLING 2020 Noise Isn’t Always Negative: Countering Exposure Bias in Sequence-to-Sequence Inflection Models COLING 2020