Summary of Exploring Dark Knowledge Under Various Teacher Capacities and Addressing Capacity Mismatch, by Xin-chun Li et al.
Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatchby Xin-Chun Li, Wen-Shu Fan,…
Summary of Fadam: Adam Is a Natural Gradient Optimizer Using Diagonal Empirical Fisher Information, by Dongseong Hwang
FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher informationby Dongseong HwangFirst submitted…
Summary of Online Learning Of Halfspaces with Massart Noise, by Ilias Diakonikolas et al.
Online Learning of Halfspaces with Massart Noiseby Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos, Nikos ZarifisFirst…
Summary of Switched Flow Matching: Eliminating Singularities Via Switching Odes, by Qunxi Zhu et al.
Switched Flow Matching: Eliminating Singularities via Switching ODEsby Qunxi Zhu, Wei LinFirst submitted to arxiv…
Summary of Learning Regularities From Data Using Spiking Functions: a Theory, by Canlin Zhang and Xiuwen Liu
Learning Regularities from Data using Spiking Functions: A Theoryby Canlin Zhang, Xiuwen LiuFirst submitted to…
Summary of Otlp: Output Thresholding Using Mixed Integer Linear Programming, by Baran Koseoglu et al.
OTLP: Output Thresholding Using Mixed Integer Linear Programmingby Baran Koseoglu, Luca Traverso, Mohammed Topiwalla, Egor…
Summary of Submodular Information Selection For Hypothesis Testing with Misclassification Penalties, by Jayanth Bhargav et al.
Submodular Information Selection for Hypothesis Testing with Misclassification Penaltiesby Jayanth Bhargav, Mahsa Ghasemi, Shreyas SundaramFirst…
Summary of Partially Unitary Learning, by Mikhail Gennadievich Belov et al.
Partially Unitary Learningby Mikhail Gennadievich Belov, Vladislav Gennadievich MalyshkinFirst submitted to arxiv on: 16 May…
Summary of A Machine Learning Approach For Simultaneous Demapping Of Qam and Apsk Constellations, by Arwin Gansekoele et al.
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellationsby Arwin Gansekoele, Alexios…
Summary of Kuramoto Oscillators and Swarms on Manifolds For Geometry Informed Machine Learning, by Vladimir Jacimovic
Kuramoto Oscillators and Swarms on Manifolds for Geometry Informed Machine Learningby Vladimir JacimovicFirst submitted to…