Summary of On the Choice Of the Non-trainable Internal Weights in Random Feature Maps, by Pinak Mandal et al.
On the choice of the non-trainable internal weights in random feature mapsby Pinak Mandal, Georg…
Summary of Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidances, by Lang Zeng et al.
Optimizing Cox Models with Stochastic Gradient Descent: Theoretical Foundations and Practical Guidancesby Lang Zeng, Weijing…
Summary of Hybrid Coordinate Descent For Efficient Neural Network Learning Using Line Search and Gradient Descent, by Yen-che Hsiao and Abhishek Dutta
Hybrid Coordinate Descent for Efficient Neural Network Learning Using Line Search and Gradient Descentby Yen-Che…
Summary of Znorm: Z-score Gradient Normalization Accelerating Skip-connected Network Training Without Architectural Modification, by Juyoung Yun
ZNorm: Z-Score Gradient Normalization Accelerating Skip-Connected Network Training without Architectural Modificationby Juyoung YunFirst submitted to…
Summary of Convergence Analysis Of Natural Gradient Descent For Over-parameterized Physics-informed Neural Networks, by Xianliang Xu et al.
Convergence Analysis of Natural Gradient Descent for Over-parameterized Physics-Informed Neural Networksby Xianliang Xu, Ting Du,…
Summary of Enhancing Adversarial Text Attacks on Bert Models with Projected Gradient Descent, by Hetvi Waghela et al.
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descentby Hetvi Waghela, Jaydip Sen,…
Summary of Bayesian Low-rank Learning (bella): a Practical Approach to Bayesian Neural Networks, by Bao Gia Doan et al.
Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networksby Bao Gia Doan, Afshar…
Summary of Emergence in Non-neural Models: Grokking Modular Arithmetic Via Average Gradient Outer Product, by Neil Mallinar et al.
Emergence in non-neural models: grokking modular arithmetic via average gradient outer productby Neil Mallinar, Daniel…
Summary of Enhanced Feature Learning Via Regularisation: Integrating Neural Networks and Kernel Methods, by Bertille Follain and Francis Bach
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methodsby Bertille Follain, Francis BachFirst…
Summary of Weights Shuffling For Improving Dpsgd in Transformer-based Models, by Jungang Yang and Zhe Ji and Liyao Xiang
Weights Shuffling for Improving DPSGD in Transformer-based Modelsby Jungang Yang, Zhe Ji, Liyao XiangFirst submitted…