Pranav Sharma — accepted AI-conference papers

2024

Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging

Bhargav Ghanekar, Salman Siddique Khan, Pranav Sharma, Shreyas Singh, Vivek Boominathan, Kaushik Mitra +1

CVPR 2024poster

Passive compact single-shot 3D sensing is useful in many application areas such as microscopy medical imaging surgical navigation and autonomous driving where form factor time and power constraints can exist. Obtaining RGB-D scene information over a short imaging distance in an ultra-compact form fa…

Cited by 2 Source ↗PDF ↗Scholar ↗

2022

Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher

Mehdi Rezagholizadeh, Aref Jafari, Puneeth S.M. Saladi, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi

COLING 2022main

With the 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 observations in the literature showing some challenging limitations of KD. A case in point is that the best perform…

Cited by 14 Source ↗PDF ↗Scholar ↗

2021

How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding

Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh

EMNLP 2021finding

Knowledge Distillation (KD) is a model compression algorithm that helps transfer the knowledge in a large neural network into a smaller one. Even though KD has shown promise on a wide range of Natural Language Processing (NLP) applications, little is understood about how one KD algorithm compares to…

Cited by 9 Source ↗PDF ↗Scholar ↗