Summary of From Mlp to Neomlp: Leveraging Self-attention For Neural Fields, by Miltiadis Kofinas et al.
From MLP to NeoMLP: Leveraging Self-Attention for Neural Fieldsby Miltiadis Kofinas, Samuele Papa, Efstratios GavvesFirst…
Summary of Words Of War: Exploring the Presidential Rhetorical Arsenal with Deep Learning, by Wyatt Scott et al.
Words of War: Exploring the Presidential Rhetorical Arsenal with Deep Learningby Wyatt Scott, Brett Genz,…
Summary of Enhancing Interpretability Through Loss-defined Classification Objective in Structured Latent Spaces, by Daniel Geissler et al.
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spacesby Daniel Geissler, Bo Zhou, Mengxi…
Summary of Grimm: a Plug-and-play Perturbation Rectifier For Graph Neural Networks Defending Against Poisoning Attacks, by Ao Liu et al.
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending against Poisoning Attacksby Ao Liu,…
Summary of Mnist-fraction: Enhancing Math Education with Ai-driven Fraction Detection and Analysis, by Pegah Ahadian et al.
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysisby Pegah Ahadian, Yunhe Feng, Karl…
Summary of Mixture Of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification, by Xuanze Chen et al.
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classificationby Xuanze Chen,…
Summary of Edge-splitting Mlp: Node Classification on Homophilic and Heterophilic Graphs Without Message Passing, by Matthias Kohn et al.
Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passingby Matthias Kohn, Marcel…
Summary of Robustness Of Graph Classification: Failure Modes, Causes, and Noise-resistant Loss in Graph Neural Networks, by Farooq Ahmad Wani et al.
Robustness of Graph Classification: failure modes, causes, and noise-resistant loss in Graph Neural Networksby Farooq…
Summary of From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes, by Alexander Tyurin
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizesby Alexander…
Summary of Agmixup: Adaptive Graph Mixup For Semi-supervised Node Classification, by Weigang Lu et al.
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classificationby Weigang Lu, Ziyu Guan, Wei Zhao, Yaming…