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ORCIDVarad Pimpalkhute
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2020 – today
- 2024
[c5]Varad Pimpalkhute, John Heyer, Xusen Yin, Sameer Gupta:
SoftQE: Learned Representations of Queries Expanded by LLMs. ECIR (4) 2024: 68-77- [i3]Varad Pimpalkhute, John Heyer, Xusen Yin, Sameer Gupta:
SoftQE: Learned Representations of Queries Expanded by LLMs. CoRR abs/2402.12663 (2024) - 2023
- [c4]Varad Pimpalkhute, Shruti Kunde, Rekha Singhal:
GEMS: Generating Efficient Meta-Subnets. WACV 2023: 5304-5312 - 2022
- [c3]Varad Pimpalkhute, Shruti Kunde, Rekha Singhal, Surya Palepu, Dheeraj Chahal, Amey Pandit:
MetaFaaS: learning-to-learn on serverless. BiDEDE@SIGMOD 2022: 1:1-1:9 - 2021
- [j2]Varad Pimpalkhute
, Rutvik Page, Ashwin Kothari, Kishor M. Bhurchandi, Vipin Milind Kamble:
Digital Image Noise Estimation Using DWT Coefficients. IEEE Trans. Image Process. 30: 1962-1972 (2021) - [c2]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: 118-122 - [i2]Agnel Lazar Alappat, Prajwal Nakhate, Sagar Suman, Ambarish Chandurkar, Varad Pimpalkhute, Tapan Kumar Jain:
CBIR using Pre-Trained Neural Networks. CoRR abs/2110.14455 (2021) - [i1]Varad Pimpalkhute, Amey Pandit, Mayank Mishra, Rekha Singhal:
Accelerating Gradient-based Meta Learner. CoRR abs/2110.14459 (2021) - 2020
- [j1]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: 103691 (2020) - [c1]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: 378-382
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