Summary of Uncovering Capabilities Of Model Pruning in Graph Contrastive Learning, by Junran Wu et al.
Uncovering Capabilities of Model Pruning in Graph Contrastive Learningby Junran Wu, Xueyuan Chen, Shangzhe LiFirst…
Uncovering Capabilities of Model Pruning in Graph Contrastive Learningby Junran Wu, Xueyuan Chen, Shangzhe LiFirst…
Intuitionistic Fuzzy Universum Twin Support Vector Machine for Imbalanced Databy A. Quadir, M. TanveerFirst submitted…
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentialsby Matthias Holzenkamp,…
Robust Model Evaluation over Large-scale Federated Networksby Amir Najafi, Samin Mahdizadeh Sani, Farzan FarniaFirst submitted…
Classification under strategic adversary manipulation using pessimistic bilevel optimisationby David Benfield, Stefano Coniglio, Martin Kunc,…
Proactive Fraud Defense: Machine Learning’s Evolving Role in Protecting Against Online Fraudby Md Kamrul Hasan…
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods,…
Predicting Mortality and Functional Status Scores of Traumatic Brain Injury Patients using Supervised Machine Learningby…
Accelerating Direct Preference Optimization with Prefix Sharingby Franklin Wang, Sumanth HegdeFirst submitted to arxiv on:…
Alternatives of Unsupervised Representations of Variables on the Latent Spaceby Alex GlushkovskyFirst submitted to arxiv…