67 citations · 80 across the 5 of their papers we have counts for
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cs.LG2021★ 6 cited
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Yilun Xu, Yang Song, Sahaj Garg +4
Autoregressive models are widely used for tasks such as image and audio generation. The sampling process of these models, however, does not allow interruptions and cannot adapt to…
cs.LG2021★ 3 cited
Confounding Tradeoffs for Neural Network Quantization
Sahaj Garg, Anirudh Jain, Joe Lou +1
Many neural network quantization techniques have been developed to decrease the computational and memory footprint of deep learning. However, these methods are evaluated subject to…
cs.LG2021★ 4 cited
Dynamic Precision Analog Computing for Neural Networks
Sahaj Garg, Joe Lou, Anirudh Jain +1
Analog electronic and optical computing exhibit tremendous advantages over digital computing for accelerating deep learning when operations are executed at low precision. In this w…