Summary of Universal Approximation Theorem For Neural Networks with Inputs From a Topological Vector Space, by Vugar Ismailov
Universal approximation theorem for neural networks with inputs from a topological vector spaceby Vugar IsmailovFirst…
Summary of Zero-to-strong Generalization: Eliciting Strong Capabilities Of Large Language Models Iteratively Without Gold Labels, by Chaoqun Liu et al.
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labelsby Chaoqun Liu,…
Summary of Extended Deep Submodular Functions, by Seyed Mohammad Hosseini et al.
Extended Deep Submodular Functionsby Seyed Mohammad Hosseini, Arash Jamshid, Seyed Mahdi Noormousavi, Mahdi Jafari Siavoshani,…
Summary of Symmetry-enriched Learning: a Category-theoretic Framework For Robust Machine Learning Models, by Ronald Katende
Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Modelsby Ronald KatendeFirst submitted to arxiv…
Summary of Npat Null-space Projected Adversarial Training Towards Zero Deterioration, by Hanyi Hu et al.
NPAT Null-Space Projected Adversarial Training Towards Zero Deteriorationby Hanyi Hu, Qiao Han, Kui Chen, Yao…
Summary of Tight and Efficient Upper Bound on Spectral Norm Of Convolutional Layers, by Ekaterina Grishina et al.
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layersby Ekaterina Grishina, Mikhail Gorbunov,…
Summary of Enhancing Semi-supervised Learning Via Representative and Diverse Sample Selection, by Qian Shao et al.
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selectionby Qian Shao, Jiangrui Kang, Qiyuan Chen,…
Summary of Convergence Of Sharpness-aware Minimization Algorithms Using Increasing Batch Size and Decaying Learning Rate, by Hinata Harada and Hideaki Iiduka
Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rateby Hinata Harada,…
Summary of Steinmetz Neural Networks For Complex-valued Data, by Shyam Venkatasubramanian et al.
Steinmetz Neural Networks for Complex-Valued Databy Shyam Venkatasubramanian, Ali Pezeshki, Vahid TarokhFirst submitted to arxiv…
Summary of A Survey Of Out-of-distribution Generalization For Graph Machine Learning From a Causal View, by Jing Ma
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal Viewby Jing MaFirst…