Summary of Enhancing Binary Classification: a New Stacking Method Via Leveraging Computational Geometry, by Wei Wu et al.
Enhancing binary classification: A new stacking method via leveraging computational geometryby Wei Wu, Liang Tang,…
Enhancing binary classification: A new stacking method via leveraging computational geometryby Wei Wu, Liang Tang,…
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshotsby Vincent Guan, Joseph Janssen, Hossein Rahmani,…
Multimodal Structure Preservation Learningby Chang Liu, Jieshi Chen, Lee H. Harrison, Artur DubrawskiFirst submitted to…
Unpicking Data at the Seams: Understanding Disentanglement in VAEsby Carl AllenFirst submitted to arxiv on:…
FGCE: Feasible Group Counterfactual Explanations for Auditing Fairnessby Christos Fragkathoulas, Vasiliki Papanikou, Evaggelia Pitoura, Evimaria…
Feature Responsiveness Scores: Model-Agnostic Explanations for Recourseby Seung Hyun Cheon, Anneke Wernerfelt, Sorelle A. Friedler,…
Convex Formulations for Training Two-Layer ReLU Neural Networksby Karthik Prakhya, Tolga Birdal, Alp YurtseverFirst submitted…
InLINE: Inner-Layer Information Exchange for Multi-task Learning on Heterogeneous Graphsby Xinyue Feng, Jinquan Hang, Yuequn…
Vision Paper: Designing Graph Neural Networks in Compliance with the European Artificial Intelligence Actby Barbara…
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifierby Pin-Yen Huang, Szu-Wei Fu, Yu TsaoFirst…