Prannoy Pilligundla

According to our database, Prannoy Pilligundla authored at least 8 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

ReLeQ : A Reinforcement Learning Approach for Automatic Deep Quantization of Neural Networks.

Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah, Amir Yazdanbakhsh, Hadi Esmaeilzadeh

IEEE Micro, 2020

Gradient-Based Deep Quantization of Neural Networks through Sinusoidal Adaptive Regularization.

Ahmed T. Elthakeb, Prannoy Pilligundla, Fatemehsadat Mireshghallah, Tarek Elgindi, Charles-Alban Deledalle, Hadi Esmaeilzadeh

CoRR, 2020

Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks.

Ahmed Taha Elthakeb, Prannoy Pilligundla, Fatemeh Mireshghallah, Alexander Cloninger, Hadi Esmaeilzadeh

Proceedings of the 37th International Conference on Machine Learning, 2020

Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation.

Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks.

Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh

CoRR, 2019

Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation.

Byung Hoon Ahn, Prannoy Pilligundla, Hadi Esmaeilzadeh

CoRR, 2019

SinReQ: Generalized Sinusoidal Regularization for Automatic Low-Bitwidth Deep Quantized Training.

Ahmed T. Elthakeb, Prannoy Pilligundla, Hadi Esmaeilzadeh

CoRR, 2019

2018

ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks.

Ahmed T. Elthakeb, Prannoy Pilligundla, Amir Yazdanbakhsh, Sean Kinzer, Hadi Esmaeilzadeh

CoRR, 2018