5 citations · 10 across the 7 of their papers we have counts for
8 papers
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher
Mehdi Rezagholizadeh, Aref Jafari, Puneeth Salad +3
With ever growing scale of neural models, knowledge distillation (KD) attracts more attention as a prominent tool for neural model compression. However, there are counter intuitive…
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding
Tianda Li, Ahmad Rashid, Aref Jafari +3
Knowledge Distillation (KD) is a model compression algorithm that helps transfer the knowledge of a large neural network into a smaller one. Even though KD has shown promise on a w…
Annealing Knowledge Distillation
Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma +1
Significant memory and computational requirements of large deep neural networks restrict their application on edge devices. Knowledge distillation (KD) is a prominent model compres…
LPar -- A Distributed Multi Agent platform for building Polyglot, Omni Channel and Industrial grade Natural Language Interfaces
Pranav Sharma
The goal of serving and delighting customers in a personal and near human like manner is very high on automation agendas of most Enterprises. Last few years, have seen huge progres…
Information Based Data-Driven Characterization of Stability and Influence in Power Systems
Subhrajit Sinha, Pranav Sharma, Venkataramana Ajjarapu +1
Stability analysis of a power network and its characterization (voltage or angle) is an important problem in the power system community. However, these problems are mostly studied…
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators
Pranav Sharma, Bowen Huang, Umesh Vaidya +1
In this paper, we propose linear operator theoretic framework involving Koopman operator for the data-driven identification of power system dynamics. We explicitly account for nois…
On Information Transfer Based Characterization of Power System Stability
Subhrajit Sinha, Pranav Sharma, Umesh Vaidya +1
In this paper, we present a novel approach to identify the generators and states responsible for the small-signal stability of power networks. To this end, the newly developed noti…
The Astropy Problem
Demitri Muna, Michael Alexander, Alice Allen +151
The Astropy Project (http://astropy.org) is, in its own words, "a community effort to develop a single core package for Astronomy in Python and foster interoperability between Pyth…