Summary of Differentially Private Post-processing For Fair Regression, by Ruicheng Xian et al.
Differentially Private Post-Processing for Fair Regressionby Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han ZhaoFirst submitted…
Differentially Private Post-Processing for Fair Regressionby Ruicheng Xian, Qiaobo Li, Gautam Kamath, Han ZhaoFirst submitted…
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applicationsby Mingfei Lu, Chenxu Li, Shujian Yu, Robert…
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancerby Kumar…
Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakesby Ammarah Hashmi, Sahibzada Adil Shahzad, Chia-Wen Lin,…
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matchingby Mengchen Fan, Baocheng…
Rethinking Data Shapley for Data Selection Tasks: Misleads and Meritsby Jiachen T. Wang, Tianji Yang,…
Transformer models as an efficient replacement for statistical test suites to evaluate the quality of…
Federated Graph Condensation with Information Bottleneck Principlesby Bo Yan, Sihao He, Cheng Yang, Shang Liu,…
Unlearning Backdoor Attacks through Gradient-Based Model Pruningby Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu,…
Deep Clustering with Self-Supervision using Pairwise Similaritiesby Mohammadreza Sadeghi, Narges ArmanfardFirst submitted to arxiv on:…