Summary of Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Function, by Hongye Zheng et al.
Adaptive Friction in Deep Learning: Enhancing Optimizers with Sigmoid and Tanh Functionby Hongye Zheng, Bingxing…
Summary of The Vizier Gaussian Process Bandit Algorithm, by Xingyou Song et al.
The Vizier Gaussian Process Bandit Algorithmby Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo…
Summary of A Markovian Model For Learning-to-optimize, by Michael Sucker and Peter Ochs
A Markovian Model for Learning-to-Optimizeby Michael Sucker, Peter OchsFirst submitted to arxiv on: 21 Aug…
Summary of Revisiting Min-max Optimization Problem in Adversarial Training, by Sina Hajer Ahmadi et al.
Revisiting Min-Max Optimization Problem in Adversarial Trainingby Sina Hajer Ahmadi, Hassan BahramiFirst submitted to arxiv…
Summary of Gaim: Attacking Graph Neural Networks Via Adversarial Influence Maximization, by Xiaodong Yang et al.
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximizationby Xiaodong Yang, Xiaoting Li, Huiyuan Chen,…
Summary of Kernel-based Differentiable Learning Of Non-parametric Directed Acyclic Graphical Models, by Yurou Liang et al.
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Modelsby Yurou Liang, Oleksandr Zadorozhnyi, Mathias DrtonFirst…
Summary of Config: Towards Conflict-free Training Of Physics Informed Neural Networks, by Qiang Liu et al.
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networksby Qiang Liu, Mengyu Chu, Nils ThuereyFirst…
Summary of Neural Exploratory Landscape Analysis, by Zeyuan Ma et al.
Neural Exploratory Landscape Analysisby Zeyuan Ma, Jiacheng Chen, Hongshu Guo, Yue-Jiao GongFirst submitted to arxiv…
Summary of Towards Robust Knowledge Unlearning: An Adversarial Framework For Assessing and Improving Unlearning Robustness in Large Language Models, by Hongbang Yuan et al.
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large…
Summary of Learning Randomized Algorithms with Transformers, by Johannes Von Oswald and Seijin Kobayashi and Yassir Akram and Angelika Steger
Learning Randomized Algorithms with Transformersby Johannes von Oswald, Seijin Kobayashi, Yassir Akram, Angelika StegerFirst submitted…