Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batchby Saurabh Bajaj, Hojae…
Learning to Approximate Particle Smoothing Trajectories via Diffusion Generative Modelsby Ella Tamir, Arno SolinFirst submitted…
An Unsupervised Approach for Periodic Source Detection in Time Seriesby Berken Utku Demirel, Christian HolzFirst…
Redefining Contributions: Shapley-Driven Federated Learningby Nurbek Tastan, Samar Fares, Toluwani Aremu, Samuel Horvath, Karthik NandakumarFirst…
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretabilityby Mohit Prabhushankar,…
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encodingby Denis Gudovskiy, Tomoyuki Okuno, Yohei NakataFirst…
Generalization Bound and New Algorithm for Clean-Label Backdoor Attackby Lijia Yu, Shuang Liu, Yibo Miao,…
Multi-variable Adversarial Time-Series Forecast Modelby Xiaoqiao ChenFirst submitted to arxiv on: 2 Jun 2024CategoriesMain: Machine…
Robust Fair Clustering with Group Membership Uncertainty Setsby Sharmila Duppala, Juan Luque, John P. Dickerson,…
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimationby Yinjun Wu, Mayank Keoliya, Kan Chen, Neelay…