most citedCLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2024★ 1 cited

CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs

Akshat Ramachandran, Souvik Kundu, Tushar Krishna

We present CLAMP-ViT, a data-free post-training quantization method for vision transformers (ViTs). We identify the limitations of recent techniques, notably their inability to lev…

cs.AR2024

Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference

Akshat Ramachandran, Zishen Wan, Geonhwa Jeong +2

Traditional Deep Neural Network (DNN) quantization methods using integer, fixed-point, or floating-point data types struggle to capture diverse DNN parameter distributions at low p…