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Understanding generalization and robustness in modern deep learning

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Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Nirupam Gupta

In this article, we study the problem of Byzantine fault-tolerance in a federated optimization setting, where there is a group of agents communicating with a centralized coordinator. We allow up to

f

Byzantine-faulty agents, which may not follow a prescr ...

Piscataway2023

Understanding generalization and robustness in modern deep learning

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Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

Regularization Techniques for Low-Resource Machine Translation

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Gradient boosting with extreme-value theory for wildfire prediction

Robustness and invariance properties of image classifiers

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration

Block-Sparse Adversarial Attack To Fool Transformer-Based Text Classifiers

TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation

Regularization Techniques for Low-Resource Machine Translation

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Robustness and invariance properties of image classifiers

Towards Verifiable, Generalizable and Efficient Robust Deep Neural Networks.

Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning

Gradient boosting with extreme-value theory for wildfire prediction

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration

Block-Sparse Adversarial Attack To Fool Transformer-Based Text Classifiers