dropout regularization

Group-Wise Dynamic Dropout Based on Latent Semantic Variations AAAI 2020 Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models ICLR 2020 On the Regularization Properties of Structured Dropout CVPR 2020 Stochastic Sparse Subspace Clustering CVPR 2020 Adversarial Dropout for Recurrent Neural Networks AAAI 2019 Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm IJCAI 2019 Dropout as a Structured Shrinkage Prior ICML 2019 Exploiting Semi-Supervised Training Through a Dropout Regularization in End-to-End Speech Recognition Interspeech 2019 NL-FIIT at SemEval-2019 Task 3: Emotion Detection From Conversational Triplets Using Hierarchical Encoders SemEval 2019 On Dropout and Nuclear Norm Regularization ICML 2019 Unsupervised Adaptation with Adversarial Dropout Regularization for Robust Speech Recognition Interspeech 2019 Adversarial Dropout Regularization ICLR 2018 Dropout as a Low-Rank Regularizer for Matrix Factorization AISTATS 2018 Neural Machine Translation Techniques for Named Entity Transliteration ACL 2018 Removing the Feature Correlation Effect of Multiplicative Noise NeurIPS 2018 Role of Regularization in the Prediction of Valence from Speech Interspeech 2018 Surprising properties of dropout in deep networks COLT 2017 A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NeurIPS 2016 Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network COLING 2016 DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015 On the Inductive Bias of Dropout JMLR 2015 Altitude Training: Strong Bounds for Single-Layer Dropout NeurIPS 2014 Global Belief Recursive Neural Networks NeurIPS 2014 Adaptive dropout for training deep neural networks NeurIPS 2013 Dropout Training as Adaptive Regularization NeurIPS 2013