Summary of Relaxing Graph Transformers For Adversarial Attacks, by Philipp Foth et al.
Relaxing Graph Transformers for Adversarial Attacksby Philipp Foth, Lukas Gosch, Simon Geisler, Leo Schwinn, Stephan…
Summary of Approximating the Number Of Relevant Variables in a Parity Implies Proper Learning, by Nader H. Bshouty and George Haddad
Approximating the Number of Relevant Variables in a Parity Implies Proper Learningby Nader H. Bshouty,…
Summary of Dino-diffusion. Scaling Medical Diffusion Via Self-supervised Pre-training, by Guillermo Jimenez-perez et al.
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Trainingby Guillermo Jimenez-Perez, Pedro Osorio, Josef Cersovsky, Javier Montalt-Tordera,…
Summary of Hyperaggregation: Aggregating Over Graph Edges with Hypernetworks, by Nicolas Lell et al.
HyperAggregation: Aggregating over Graph Edges with Hypernetworksby Nicolas Lell, Ansgar ScherpFirst submitted to arxiv on:…
Summary of Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification, by Saba Ahmadi et al.
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classificationby Saba Ahmadi, Kunhe Yang, Hanrui ZhangFirst…
Summary of Xtraffic: a Dataset Where Traffic Meets Incidents with Explainability and More, by Xiaochuan Gou et al.
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and Moreby Xiaochuan Gou, Ziyue Li,…
Summary of Disentangling Representations Through Multi-task Learning, by Pantelis Vafidis et al.
Disentangling Representations through Multi-task Learningby Pantelis Vafidis, Aman Bhargava, Antonio RangelFirst submitted to arxiv on:…
Summary of Graph Structure Prompt Learning: a Novel Methodology to Improve Performance Of Graph Neural Networks, by Zhenhua Huang et al.
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networksby Zhenhua…
Summary of Deep Learning Activation Functions: Fixed-shape, Parametric, Adaptive, Stochastic, Miscellaneous, Non-standard, Ensemble, by M. M. Hammad
Deep Learning Activation Functions: Fixed-Shape, Parametric, Adaptive, Stochastic, Miscellaneous, Non-Standard, Ensembleby M. M. HammadFirst submitted…
Summary of A Robust Three-way Classifier with Shadowed Granular-balls Based on Justifiable Granularity, by Jie Yang et al.
A robust three-way classifier with shadowed granular-balls based on justifiable granularityby Jie Yang, Lingyun Xiaodiao,…