Summary of Boosting the Transferability Of Adversarial Examples Via Local Mixup and Adaptive Step Size, by Junlin Liu and Xinchen Lyu
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Sizeby Junlin Liu,…
Summary of Theoretically Informed Selection Of Latent Activation in Autoencoder Based Recommender Systems, by Aviad Susman
Theoretically informed selection of latent activation in autoencoder based recommender systemsby Aviad SusmanFirst submitted to…
Summary of Generalization and Risk Bounds For Recurrent Neural Networks, by Xuewei Cheng and Ke Huang and Shujie Ma
Generalization and Risk Bounds for Recurrent Neural Networksby Xuewei Cheng, Ke Huang, Shujie MaFirst submitted…
Summary of Corrected Soft Actor Critic For Continuous Control, by Yanjun Chen et al.
Corrected Soft Actor Critic for Continuous Controlby Yanjun Chen, Xinming Zhang, Xianghui Wang, Zhiqiang Xu,…
Summary of Variational Autoencoders with Latent High-dimensional Steady Geometric Flows For Dynamics, by Andrew Gracyk
Variational autoencoders with latent high-dimensional steady geometric flows for dynamicsby Andrew GracykFirst submitted to arxiv…
Summary of Robust Weight Initialization For Tanh Neural Networks with Fixed Point Analysis, by Hyunwoo Lee et al.
Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysisby Hyunwoo Lee, Hayoung Choi,…
Summary of Is Uniform Expressivity Too Restrictive? Towards Efficient Expressivity Of Graph Neural Networks, by Sammy Khalife et al.
Is uniform expressivity too restrictive? Towards efficient expressivity of graph neural networksby Sammy Khalife, Josué…
Summary of Improving Nonlinear Projection Heads Using Pretrained Autoencoder Embeddings, by Andreas Schliebitz et al.
Improving Nonlinear Projection Heads using Pretrained Autoencoder Embeddingsby Andreas Schliebitz, Heiko Tapken, Martin AtzmuellerFirst submitted…