Varad Pimpalkhute

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Noise Estimation

Trained Neural Networks

Smoking Cessation

Top Venues

SMM4H@NAACL-HLT

IEEE Trans. Image Process.

Publications

Varad Pimpalkhute, John Heyer, Xusen Yin, Sameer Gupta
SoftQE: Learned Representations of Queries Expanded by LLMs. ECIR (4) (2024)
Varad Pimpalkhute, John Heyer, Xusen Yin, Sameer Gupta
SoftQE: Learned Representations of Queries Expanded by LLMs. CoRR (2024)
Varad Pimpalkhute, Shruti Kunde, Rekha Singhal
GEMS: Generating Efficient Meta-Subnets. WACV (2023)
Varad Pimpalkhute, Shruti Kunde, Rekha Singhal, Surya Palepu, Dheeraj Chahal, Amey Pandit
MetaFaaS: learning-to-learn on serverless. BiDEDE@SIGMOD (2022)
Varad Pimpalkhute, Amey Pandit, Mayank Mishra, Rekha Singhal
Accelerating Gradient-based Meta Learner. CoRR (2021)
Agnel Lazar Alappat, Prajwal Nakhate, Sagar Suman, Ambarish Chandurkar, Varad Pimpalkhute, Tapan Jain
CBIR using Pre-Trained Neural Networks. CoRR (2021)
Varad Pimpalkhute, Rutvik Page, Ashwin Kothari, Kishor M. Bhurchandi, Vipin Milind Kamble
Digital Image Noise Estimation Using DWT Coefficients. IEEE Trans. Image Process. 30 (2021)
Varad Pimpalkhute, Prajwal Nakhate, Tausif Diwan
IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets. SMM4H@NAACL-HLT (2021)
Shivani Dhok, Varad Pimpalkhute, Ambarish Chandurkar, Ankit A. Bhurane, Manish Sharma, U. Rajendra Acharya
Automated phase classification in cyclic alternating patterns in sleep stages using Wigner-Ville Distribution based features. Comput. Biol. Medicine 119 (2020)
Arjun Magge, Varad Pimpalkhute, Divya Rallapalli, David Siguenza, Graciela Gonzalez-Hernandez
UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter. W-NUT@EMNLP (2020)