GSTAM: Efficient Graph Distillation with Structural Attention-Matchingby Arash Rasti-Meymandi, Ahmad Sajedi, Zhaopan Xu, Konstantinos N.…
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classificationby Bidyut Saha, Riya…
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacksby Xing Ai, Guanyu Zhu, Yulin Zhu,…
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generationby Christian D. BlakelyFirst submitted…
A Comparative Study of Hyperparameter Tuning Methodsby Subhasis Dasgupta, Jaydip SenFirst submitted to arxiv on:…
Gradient-free variational learning with conditional mixture networksby Conor Heins, Hao Wu, Dimitrije Markovic, Alexander Tschantz,…
ChartEye: A Deep Learning Framework for Chart Information Extractionby Osama Mustafa, Muhammad Khizer Ali, Momina…
A More Unified Theory of Transfer Learningby Steve Hanneke, Samory KpotufeFirst submitted to arxiv on:…
Analysis of Diagnostics (Part II): Prevalence, Linear Independence, and Unsupervised Learningby Paul N. Patrone, Raquel…
Fairness, Accuracy, and Unreliable Databy Kevin StanglFirst submitted to arxiv on: 28 Aug 2024CategoriesMain: Machine…