Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge

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Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge

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An exact mapping from ReLU networks to spiking neural networks

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD

Accelerating Dynamic Aperture Evaluation Using Deep Neural Networks

Scale-Aware Test-Time Click Adaptation for Pulmonary Nodule and Mass Segmentation

Using Motion Cues to Supervise Single-Frame Body Pose and Shape Estimation in Low Data Regimes

Transformer Models for Vision