Shanbhag, Naresh

8 publications

NeurIPSW 2024 Grow to Compress? Efficient Training of Robust Networks on the Edge Vignesh Sundaresha, Naresh Shanbhag

ICML 2023 On the Robustness of Randomized Ensembles to Adversarial Perturbations Hassan Dbouk, Naresh Shanbhag

ICML 2022 Adversarial Vulnerability of Randomized Ensembles Hassan Dbouk, Naresh Shanbhag

NeurIPS 2021 Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks Hassan Dbouk, Naresh Shanbhag

ECCV 2020 DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, Naresh Shanbhag

ICLR 2019 Accumulation Bit-Width Scaling for Ultra-Low Precision Training of Deep Networks Charbel Sakr, Naigang Wang, Chia-Yu Chen, Jungwook Choi, Ankur Agrawal, Naresh Shanbhag, Kailash Gopalakrishnan

ICLR 2019 Per-Tensor Fixed-Point Quantization of the Back-Propagation Algorithm Charbel Sakr, Naresh Shanbhag

ICML 2017 Analytical Guarantees on Numerical Precision of Deep Neural Networks Charbel Sakr, Yongjune Kim, Naresh Shanbhag