Summary of Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates, by Puning Zhao et al.
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Ratesby Puning Zhao, Jiafei Wu, Zhe…
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Ratesby Puning Zhao, Jiafei Wu, Zhe…
Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noiseby Hongyuan Zhang, Yanchen Xu, Sida Huang,…
Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuningby David…
A Markov Random Field Multi-Modal Variational AutoEncoderby Fouad Oubari, Mohamed El Baha, Raphael Meunier, Rodrigue…
Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detectionby Arya Hadizadeh Moghaddam, Mohsen…
Contextual Bandits for Unbounded Context Distributionsby Puning Zhao, Jiafei Wu, Zhe Liu, Huiwen WuFirst submitted…
Regularization for Adversarial Robust Learningby Jie Wang, Rui Gao, Yao XieFirst submitted to arxiv on:…
Advances in Multiple Instance Learning for Whole Slide Image Analysis: Techniques, Challenges, and Future Directionsby…
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-trainingby Huitong Jin, Yipeng Zhou,…
Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environmentby Tatjana Legler,…