Naresh Shanbhag
7 papers · 2017–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(10)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
model compression
(3)
adversarial perturbation
(2)
numerical precision
(2)
adversarial robustness
(2)
randomized ensemble
(2)
boosting algorithm
(1)
deep neural network
(1)
robustness evaluation
(1)
ensemble classifier
(1)
depthwise separable convolution
(1)
norm-bounded adversary
(1)
efficient neural network
(1)
backpropagation algorithm
(1)
network quantization
(1)
fixed point quantization
(1)
post-training approximation
(1)
precision assignment
(1)
neural network training
(1)
model robustness
(1)
deep learning training
(1)
Papers
On the Robustness of Randomized Ensembles to Adversarial Perturbations
ICML 2023
Adversarial Vulnerability of Randomized Ensembles
ICML 2022
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks
NeurIPS 2021
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks
ECCV 2020
Accumulation Bit-Width Scaling For Ultra-Low Precision Training Of Deep Networks
ICLR 2019
Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm
ICLR 2019
Analytical Guarantees on Numerical Precision of Deep Neural Networks
ICML 2017