Summary of Learning to Continually Learn with the Bayesian Principle, by Soochan Lee et al.
Learning to Continually Learn with the Bayesian Principleby Soochan Lee, Hyeonseong Jeon, Jaehyeon Son, Gunhee…
Summary of Fdqn: a Flexible Deep Q-network Framework For Game Automation, by Prabhath Reddy Gujavarthy
FDQN: A Flexible Deep Q-Network Framework for Game Automationby Prabhath Reddy GujavarthyFirst submitted to arxiv…
Summary of Large Margin Discriminative Loss For Classification, by Hai-vy Nguyen et al.
Large Margin Discriminative Loss for Classificationby Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda Chhaibi, Serge…
Summary of Sgd Method For Entropy Error Function with Smoothing L0 Regularization For Neural Networks, by Trong-tuan Nguyen et al.
SGD method for entropy error function with smoothing l0 regularization for neural networksby Trong-Tuan Nguyen,…
Summary of Scalable Surrogate Verification Of Image-based Neural Network Control Systems Using Composition and Unrolling, by Feiyang Cai et al.
Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrollingby Feiyang Cai,…
Summary of On the Origin Of Llamas: Model Tree Heritage Recovery, by Eliahu Horwitz et al.
On the Origin of Llamas: Model Tree Heritage Recoveryby Eliahu Horwitz, Asaf Shul, Yedid HoshenFirst…
Summary of Trustworthy Dnn Partition For Blockchain-enabled Digital Twin in Wireless Iiot Networks, by Xiumei Deng et al.
Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networksby Xiumei Deng, Jun Li,…
Summary of Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?, by Zebin You et al.
Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?by Zebin You, Xinyu Zhang, Hanzhong Guo,…
Summary of Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Bias, by Keith Burghardt et al.
Trust and Terror: Hazards in Text Reveal Negatively Biased Credulity and Partisan Negativity Biasby Keith…
Summary of Matrix Low-rank Approximation For Policy Gradient Methods, by Sergio Rozada and Antonio G. Marques
Matrix Low-Rank Approximation For Policy Gradient Methodsby Sergio Rozada, Antonio G. MarquesFirst submitted to arxiv…