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M Saiful Bari

dblp:326/7266 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Transfer learning and domain adaptation · 44% Learning paradigms · 44% Language models and text generation · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Learning paradigms
multi-task learning
0.612022
Multitask Prompted Training Enables Zero-Shot Task Generalization · ICLR 2022
Machine learning › Transfer learning and domain adaptation › zero-shot learning
zero-shot task generalization
0.612022
Multitask Prompted Training Enables Zero-Shot Task Generalization · ICLR 2022

Methods — techniques the papers use, named apart from their topics

multitask prompted training · 0.6
YearPublicationVenuePosition
2022 Multitask Prompted Training Enables Zero-Shot Task Generalization
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 0002, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Mike Tian-Jian Jiang, Matteo Manica, Sheng Shen 0001, 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 0008, Alexander M. Rush
ICLR11