neural network

NLocalSAT: Boosting Local Search with Solution Prediction IJCAI 2020 Noise-Aware Fully Webly Supervised Object Detection CVPR 2020 Noisier2Noise: Learning to Denoise From Unpaired Noisy Data CVPR 2020 Non-autoregressive Machine Translation with Disentangled Context Transformer ICML 2020 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis ICML 2020 Not All Attention Is Needed: Gated Attention Network for Sequence Data AAAI 2020 NUIG: Multitasking Self-attention based approach to SigTyp 2020 Shared Task EMNLP 2020 NwQM: A neural quality assessment framework for Wikipedia EMNLP 2020 Object-Guided Instance Segmentation for Biological Images AAAI 2020 Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NeurIPS 2020 On Completeness-aware Concept-Based Explanations in Deep Neural Networks NeurIPS 2020 O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers NeurIPS 2020 On Convergence and Generalization of Dropout Training NeurIPS 2020 One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control ICML 2020 On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020 Online Continual Learning from Imbalanced Data ICML 2020 Online Deep Clustering for Unsupervised Representation Learning CVPR 2020 On Power Laws in Deep Ensembles NeurIPS 2020 On Synthesis for Supervised Monaural Speech Separation in Time Domain Interspeech 2020 On the Acceleration of Deep Learning Model Parallelism With Staleness CVPR 2020 On the Expressivity of Neural Networks for Deep Reinforcement Learning ICML 2020 On the Generation of Medical Question-Answer Pairs AAAI 2020 On the Global Optimality of Model-Agnostic Meta-Learning ICML 2020 On the linearity of large non-linear models: when and why the tangent kernel is constant NeurIPS 2020 On the Modularity of Hypernetworks NeurIPS 2020