deep neural network

How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods NeurIPS 2020 Human-Machine Collaboration for Fast Land Cover Mapping AAAI 2020 HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network IJCAI 2020 HyperSTAR: Task-Aware Hyperparameters for Deep Networks CVPR 2020 Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising WACV 2020 Image Formation Model Guided Deep Image Super-Resolution AAAI 2020 Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process COLT 2020 Improved Knowledge Distillation via Teacher Assistant AAAI 2020 Improving Cognitive Impairment Classification by Generative Neural Network-Based Feature Augmentation Interspeech 2020 Improving model calibration with accuracy versus uncertainty optimization NeurIPS 2020 Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening MIDL 2020 Infinitely deep neural networks as diffusion processes AISTATS 2020 Infotec + CentroGEO at SemEval-2020 Task 8: Deep Learning and Text Categorization approach for Memes classification SemEval 2020 Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise AAAI 2020 Internet of Things (IoT) Discovery Using Deep Neural Networks WACV 2020 Invariant Representations through Adversarial Forgetting AAAI 2020 Investigating Effective Additional Contextual Factors in DNN-Based Spontaneous Speech Synthesis Interspeech 2020 Is normalization indispensable for training deep neural network? NeurIPS 2020 IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text Using Deep Neural Networks and Linear Baselines SemEval 2020 Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations EMNLP 2020 Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks NeurIPS 2020 Label Distribution for Learning with Noisy Labels IJCAI 2020 Learning a Reinforced Agent for Flexible Exposure Bracketing Selection CVPR 2020 Learning Code Changes by Exploiting Bidirectional Converting Deviation ACML 2020 Learning Deep Kernels for Non-Parametric Two-Sample Tests ICML 2020