Summary of A Structure-preserving Kernel Method For Learning Hamiltonian Systems, by Jianyu Hu et al.
A Structure-Preserving Kernel Method for Learning Hamiltonian Systemsby Jianyu Hu, Juan-Pablo Ortega, Daiying YinFirst submitted…
Summary of Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks, by Shin’ya Yamaguchi et al.
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networksby Shin'ya Yamaguchi, Sekitoshi Kanai, Kazuki Adachi,…
Summary of Regularization-based Efficient Continual Learning in Deep State-space Models, by Yuanhang Zhang et al.
Regularization-Based Efficient Continual Learning in Deep State-Space Modelsby Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng…
Summary of Leveraging Prototypical Representations For Mitigating Social Bias Without Demographic Information, by Shadi Iskander et al.
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Informationby Shadi Iskander, Kira Radinsky, Yonatan…
Summary of Adversarially Robust Deepfake Detection Via Adversarial Feature Similarity Learning, by Sarwar Khan
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learningby Sarwar KhanFirst submitted to arxiv on:…
Summary of Implicit Regularization Of Gradient Flow on One-layer Softmax Attention, by Heejune Sheen et al.
Implicit Regularization of Gradient Flow on One-Layer Softmax Attentionby Heejune Sheen, Siyu Chen, Tianhao Wang,…
Summary of Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation, by Hannes Waclawek et al.
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximationby Hannes Waclawek, Stefan HuberFirst submitted to arxiv…
Summary of Improving Implicit Regularization Of Sgd with Preconditioning For Least Square Problems, by Junwei Su et al.
Improving Implicit Regularization of SGD with Preconditioning for Least Square Problemsby Junwei Su, Difan Zou,…
Summary of Can Physical Information Aid the Generalization Ability Of Neural Networks For Hydraulic Modeling?, by Gianmarco Guglielmo et al.
Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?by Gianmarco Guglielmo,…
Summary of Data Augmentation with Automated Machine Learning: Approaches and Performance Comparison with Classical Data Augmentation Methods, by Alhassan Mumuni and Fuseini Mumuni
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methodsby…