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Abheesht Sharma
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2020 – today
- 2024
- [i9]Matthew Watson, Divyashree Shivakumar Sreepathihalli, François Chollet, Martin Görner, Kiranbir Sodhia, Ramesh Sampath, Tirth Patel, Hai Jin, Neel Kovelamudi, Gabriel Rasskin, Samaneh Saadat, Luke Wood, Chen Qian, Jonathan Bischof, Ian Stenbit, Abheesht Sharma, Anshuman Mishra:
KerasCV and KerasNLP: Vision and Language Power-Ups. CoRR abs/2405.20247 (2024) - 2022
- [c9]Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Tirtharaj Dash:
Superpixel-based knowledge infusion in deep neural networks for image classification. ACM Southeast Regional Conference 2022: 243-247 - [c8]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari
, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) 2022: 93-104 - [c7]Juyong Kim, Abheesht Sharma, Suhas Shanbhogue, Jeremy C. Weiss, Pradeep Ravikumar:
AnEMIC: A Framework for Benchmarking ICD Coding Models. EMNLP (Demos) 2022: 109-120 - [c6]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush:
Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR 2022 - [i8]Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush:
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. CoRR abs/2202.01279 (2022) - 2021
- [c5]Abheesht Sharma, Gunjan Chhablani, Harshit Pandey, Rajaswa Patil:
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature. EMNLP (Demos) 2021: 361-371 - [c4]Abheesht Sharma, Harshit Pandey, Gunjan Chhablani, Yash Bhartia, Tirtharaj Dash:
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. SemEval@ACL/IJCNLP 2021: 189-198 - [c3]Gunjan Chhablani, Abheesht Sharma, Harshit Pandey, Yash Bhartia, Shan Suthaharan:
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques. SemEval@ACL/IJCNLP 2021: 233-242 - [i7]Gunjan Chhablani, Yash Bhartia, Abheesht Sharma, Harshit Pandey
NLRG at SemEval-2021 Task 5: Toxic Spans Detection Leveraging BERT-based Token Classification and Span Prediction Techniques. CoRR abs/2102.12254 (2021) - [i6]Abheesht Sharma, Harshit Pandey
LRG at SemEval-2021 Task 4: Improving Reading Comprehension with Abstract Words using Augmentation, Linguistic Features and Voting. CoRR abs/2102.12255 (2021) - [i5]Abheesht Sharma, Harshit Pandey
LRG at TREC 2020: Document Ranking with XLNet-Based Models. CoRR abs/2103.00380 (2021) - [i4]Gunjan Chhablani, Abheesht Sharma, Harshit Pandey
Superpixel-based Domain-Knowledge Infusion in Computer Vision. CoRR abs/2105.09448 (2021) - [i3]Mansi Sharma, Abheesht Sharma, Kadvekar Rohit Tushar, Avinash Panneer:
A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation. CoRR abs/2105.10129 (2021) - [i2]Abheesht Sharma, Gunjan Chhablani, Harshit Pandey
DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature. CoRR abs/2107.01198 (2021) - [i1]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey
Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR abs/2110.08207 (2021) - 2020
- [c2]Mansi Sharma, Abheesht Sharma, Kadvekar Rohit Tushar, Avinash Panneer:
A Novel 3D-Unet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation. IC3D 2020: 1-8 - [c1]Abheesht Sharma, Harshit Pandey:
LRG at TREC 2020: Document Ranking with XLNet-Based Models. TREC 2020
Coauthor Index
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