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Transformer Models for Vision

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Transformer Models for Vision

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Robustness and invariance properties of image classifiers

Algorithms for Efficient and Robust Distributed Deep Learning

Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions

Textual Explanations and Critiques in Recommendation Systems

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

Lightweight HI source finding for next generation radio surveys

Masked Training of Neural Networks with Partial Gradients

COBRA: Enhancing DNN Latency Prediction with Language Models trained on Source Code

Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation

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