outputs/outputs_20230420_114226/ref.bib

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{1908.02130,
          title = {Deep learning research landscape & roadmap in a nutshell: past, present
  and future -- Towards deep cortical learning},
          author = {Aras R. Dargazany}, 
          journal={arXiv preprint arXiv:1908.02130}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.02130v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{1908.02130,
          title = {Deep learning research landscape & roadmap in a nutshell: past, present
  and future -- Towards deep cortical learning},
          author = {Aras R. Dargazany}, 
          journal={arXiv preprint arXiv:1908.02130}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.02130v1}
        }

@article{1812.05448,
          title = {A First Look at Deep Learning Apps on Smartphones},
          author = {Mengwei Xu , Jiawei Liu , Yuanqiang Liu , Felix Xiaozhu Lin , Yunxin Liu , Xuanzhe Liu}, 
          journal={arXiv preprint arXiv:1812.05448}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1812.05448v4}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{1908.02130,
          title = {Deep learning research landscape & roadmap in a nutshell: past, present
  and future -- Towards deep cortical learning},
          author = {Aras R. Dargazany}, 
          journal={arXiv preprint arXiv:1908.02130}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.02130v1}
        }

@article{1812.05448,
          title = {A First Look at Deep Learning Apps on Smartphones},
          author = {Mengwei Xu , Jiawei Liu , Yuanqiang Liu , Felix Xiaozhu Lin , Yunxin Liu , Xuanzhe Liu}, 
          journal={arXiv preprint arXiv:1812.05448}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1812.05448v4}
        }

@article{2303.15533,
          title = {Sequential training of GANs against GAN-classifiers reveals correlated
  "knowledge gaps" present among independently trained GAN instances},
          author = {Arkanath Pathak , Nicholas Dufour}, 
          journal={arXiv preprint arXiv:2303.15533}, 
          year = {2023}, 
          url = {http://arxiv.org/abs/2303.15533v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{1908.02130,
          title = {Deep learning research landscape & roadmap in a nutshell: past, present
  and future -- Towards deep cortical learning},
          author = {Aras R. Dargazany}, 
          journal={arXiv preprint arXiv:1908.02130}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.02130v1}
        }

@article{1812.05448,
          title = {A First Look at Deep Learning Apps on Smartphones},
          author = {Mengwei Xu , Jiawei Liu , Yuanqiang Liu , Felix Xiaozhu Lin , Yunxin Liu , Xuanzhe Liu}, 
          journal={arXiv preprint arXiv:1812.05448}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1812.05448v4}
        }

@article{2303.15533,
          title = {Sequential training of GANs against GAN-classifiers reveals correlated
  "knowledge gaps" present among independently trained GAN instances},
          author = {Arkanath Pathak , Nicholas Dufour}, 
          journal={arXiv preprint arXiv:2303.15533}, 
          year = {2023}, 
          url = {http://arxiv.org/abs/2303.15533v1}
        }

@article{2002.02112,
          title = {Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder},
          author = {Hyungrok Ham , Tae Joon Jun , Daeyoung Kim}, 
          journal={arXiv preprint arXiv:2002.02112}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2002.02112v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{1908.02130,
          title = {Deep learning research landscape & roadmap in a nutshell: past, present
  and future -- Towards deep cortical learning},
          author = {Aras R. Dargazany}, 
          journal={arXiv preprint arXiv:1908.02130}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.02130v1}
        }

@article{1812.05448,
          title = {A First Look at Deep Learning Apps on Smartphones},
          author = {Mengwei Xu , Jiawei Liu , Yuanqiang Liu , Felix Xiaozhu Lin , Yunxin Liu , Xuanzhe Liu}, 
          journal={arXiv preprint arXiv:1812.05448}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1812.05448v4}
        }

@article{2303.15533,
          title = {Sequential training of GANs against GAN-classifiers reveals correlated
  "knowledge gaps" present among independently trained GAN instances},
          author = {Arkanath Pathak , Nicholas Dufour}, 
          journal={arXiv preprint arXiv:2303.15533}, 
          year = {2023}, 
          url = {http://arxiv.org/abs/2303.15533v1}
        }

@article{2002.02112,
          title = {Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder},
          author = {Hyungrok Ham , Tae Joon Jun , Daeyoung Kim}, 
          journal={arXiv preprint arXiv:2002.02112}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2002.02112v1}
        }

@article{1904.08994,
          title = {From GAN to WGAN},
          author = {Lilian Weng}, 
          journal={arXiv preprint arXiv:1904.08994}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1904.08994v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{1908.02130,
          title = {Deep learning research landscape & roadmap in a nutshell: past, present
  and future -- Towards deep cortical learning},
          author = {Aras R. Dargazany}, 
          journal={arXiv preprint arXiv:1908.02130}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.02130v1}
        }

@article{1812.05448,
          title = {A First Look at Deep Learning Apps on Smartphones},
          author = {Mengwei Xu , Jiawei Liu , Yuanqiang Liu , Felix Xiaozhu Lin , Yunxin Liu , Xuanzhe Liu}, 
          journal={arXiv preprint arXiv:1812.05448}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1812.05448v4}
        }

@article{2303.15533,
          title = {Sequential training of GANs against GAN-classifiers reveals correlated
  "knowledge gaps" present among independently trained GAN instances},
          author = {Arkanath Pathak , Nicholas Dufour}, 
          journal={arXiv preprint arXiv:2303.15533}, 
          year = {2023}, 
          url = {http://arxiv.org/abs/2303.15533v1}
        }

@article{2002.02112,
          title = {Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder},
          author = {Hyungrok Ham , Tae Joon Jun , Daeyoung Kim}, 
          journal={arXiv preprint arXiv:2002.02112}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2002.02112v1}
        }

@article{1904.08994,
          title = {From GAN to WGAN},
          author = {Lilian Weng}, 
          journal={arXiv preprint arXiv:1904.08994}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1904.08994v1}
        }

@article{1904.00724,
          title = {GAN You Do the GAN GAN?},
          author = {Joseph Suarez}, 
          journal={arXiv preprint arXiv:1904.00724}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1904.00724v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{1908.02130,
          title = {Deep learning research landscape & roadmap in a nutshell: past, present
  and future -- Towards deep cortical learning},
          author = {Aras R. Dargazany}, 
          journal={arXiv preprint arXiv:1908.02130}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.02130v1}
        }

@article{1812.05448,
          title = {A First Look at Deep Learning Apps on Smartphones},
          author = {Mengwei Xu , Jiawei Liu , Yuanqiang Liu , Felix Xiaozhu Lin , Yunxin Liu , Xuanzhe Liu}, 
          journal={arXiv preprint arXiv:1812.05448}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1812.05448v4}
        }

@article{2303.15533,
          title = {Sequential training of GANs against GAN-classifiers reveals correlated
  "knowledge gaps" present among independently trained GAN instances},
          author = {Arkanath Pathak , Nicholas Dufour}, 
          journal={arXiv preprint arXiv:2303.15533}, 
          year = {2023}, 
          url = {http://arxiv.org/abs/2303.15533v1}
        }

@article{2002.02112,
          title = {Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder},
          author = {Hyungrok Ham , Tae Joon Jun , Daeyoung Kim}, 
          journal={arXiv preprint arXiv:2002.02112}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2002.02112v1}
        }

@article{1904.08994,
          title = {From GAN to WGAN},
          author = {Lilian Weng}, 
          journal={arXiv preprint arXiv:1904.08994}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1904.08994v1}
        }

@article{1904.00724,
          title = {GAN You Do the GAN GAN?},
          author = {Joseph Suarez}, 
          journal={arXiv preprint arXiv:1904.00724}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1904.00724v1}
        }

@article{1607.01664,
          title = {Personalized Optimization for Computer Experiments with Environmental
  Inputs},
          author = {Shifeng Xiong}, 
          journal={arXiv preprint arXiv:1607.01664}, 
          year = {2016}, 
          url = {http://arxiv.org/abs/1607.01664v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{1908.02130,
          title = {Deep learning research landscape & roadmap in a nutshell: past, present
  and future -- Towards deep cortical learning},
          author = {Aras R. Dargazany}, 
          journal={arXiv preprint arXiv:1908.02130}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.02130v1}
        }

@article{1812.05448,
          title = {A First Look at Deep Learning Apps on Smartphones},
          author = {Mengwei Xu , Jiawei Liu , Yuanqiang Liu , Felix Xiaozhu Lin , Yunxin Liu , Xuanzhe Liu}, 
          journal={arXiv preprint arXiv:1812.05448}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1812.05448v4}
        }

@article{2303.15533,
          title = {Sequential training of GANs against GAN-classifiers reveals correlated
  "knowledge gaps" present among independently trained GAN instances},
          author = {Arkanath Pathak , Nicholas Dufour}, 
          journal={arXiv preprint arXiv:2303.15533}, 
          year = {2023}, 
          url = {http://arxiv.org/abs/2303.15533v1}
        }

@article{2002.02112,
          title = {Unbalanced GANs: Pre-training the Generator of Generative Adversarial
  Network using Variational Autoencoder},
          author = {Hyungrok Ham , Tae Joon Jun , Daeyoung Kim}, 
          journal={arXiv preprint arXiv:2002.02112}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2002.02112v1}
        }

@article{1904.08994,
          title = {From GAN to WGAN},
          author = {Lilian Weng}, 
          journal={arXiv preprint arXiv:1904.08994}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1904.08994v1}
        }

@article{1904.00724,
          title = {GAN You Do the GAN GAN?},
          author = {Joseph Suarez}, 
          journal={arXiv preprint arXiv:1904.00724}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1904.00724v1}
        }

@article{1607.01664,
          title = {Personalized Optimization for Computer Experiments with Environmental
  Inputs},
          author = {Shifeng Xiong}, 
          journal={arXiv preprint arXiv:1607.01664}, 
          year = {2016}, 
          url = {http://arxiv.org/abs/1607.01664v1}
        }

@article{1908.05689,
          title = {Stochastic Polynomial Optimization},
          author = {Jiawang Nie , Liu Yang , Suhan Zhong}, 
          journal={arXiv preprint arXiv:1908.05689}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.05689v1}
        }

@article{2108.08976,
          title = {ASAT: Adaptively Scaled Adversarial Training in Time Series},
          author = {Zhiyuan Zhang , Wei Li , Ruihan Bao , Keiko Harimoto , Yunfang Wu , Xu Sun}, 
          journal={arXiv preprint arXiv:2108.08976}, 
          year = {2021}, 
          url = {http://arxiv.org/abs/2108.08976v2}
        }

@article{2010.05244,
          title = {Advanced Dropout: A Model-free Methodology for Bayesian Dropout
  Optimization},
          author = {Jiyang Xie , Zhanyu Ma , and Jianjun Lei , Guoqiang Zhang , Jing-Hao Xue , Zheng-Hua Tan , Jun Guo}, 
          journal={arXiv preprint arXiv:2010.05244}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2010.05244v2}
        }

@article{1911.12675,
          title = {Continuous Dropout},
          author = {Xu Shen , Xinmei Tian , Tongliang Liu , Fang Xu , Dacheng Tao}, 
          journal={arXiv preprint arXiv:1911.12675}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1911.12675v1}
        }

@article{2212.14149,
          title = {Macro-block dropout for improved regularization in training end-to-end
  speech recognition models},
          author = {Chanwoo Kim , Sathish Indurti , Jinhwan Park , Wonyong Sung}, 
          journal={arXiv preprint arXiv:2212.14149}, 
          year = {2022}, 
          url = {http://arxiv.org/abs/2212.14149v1}
        }

@article{1805.10896,
          title = {Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout},
          author = {Juho Lee , Saehoon Kim , Jaehong Yoon , Hae Beom Lee , Eunho Yang , Sung Ju Hwang}, 
          journal={arXiv preprint arXiv:1805.10896}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.10896v3}
        }

@article{2004.13342,
          title = {Scheduled DropHead: A Regularization Method for Transformer Models},
          author = {Wangchunshu Zhou , Tao Ge , Ke Xu , Furu Wei , Ming Zhou}, 
          journal={arXiv preprint arXiv:2004.13342}, 
          year = {2020}, 
          url = {http://arxiv.org/abs/2004.13342v2}
        }

@article{1805.08355,
          title = {Opening the black box of deep learning},
          author = {Dian Lei , Xiaoxiao Chen , Jianfei Zhao}, 
          journal={arXiv preprint arXiv:1805.08355}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1805.08355v1}
        }

@article{1806.01756,
          title = {Concept-Oriented Deep Learning},
          author = {Daniel T Chang}, 
          journal={arXiv preprint arXiv:1806.01756}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1806.01756v1}
        }

@article{1908.02130,
          title = {Deep learning research landscape & roadmap in a nutshell: past, present
  and future -- Towards deep cortical learning},
          author = {Aras R. Dargazany}, 
          journal={arXiv preprint arXiv:1908.02130}, 
          year = {2019}, 
          url = {http://arxiv.org/abs/1908.02130v1}
        }

@article{1812.05448,
          title = {A First Look at Deep Learning Apps on Smartphones},
          author = {Mengwei Xu , Jiawei Liu , Yuanqiang Liu , Felix Xiaozhu Lin , Yunxin Liu , Xuanzhe Liu}, 
          journal={arXiv preprint arXiv:1812.05448}, 
          year = {2018}, 
          url = {http://arxiv.org/abs/1812.05448v4}
        }

@article{2303.15533,
          title = {Sequential training of GANs against GAN-classifiers reveals correlated
  "knowledge gaps" present among independently trained GAN instances},
          author = {Arkanath Pathak , Nicholas Dufour}, 
          journal={arXiv preprint arXiv:2303.15533}, 
          year = {2023}, 
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