Search Results for author: Alexis Carlier

Found 3 papers, 1 papers with code

AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statements

no code implementations • 2 Nov 2021 • Carolyn Ashurst, Emmie Hine, Paul Sedille, Alexis Carlier

In 2020, the machine learning (ML) conference NeurIPS broke new ground by requiring that all papers include a broader impact statement.

Ethics

Paper
Add Code

RAFT: A Real-World Few-Shot Text Classification Benchmark

1 code implementation • 28 Sep 2021 • Neel Alex, Eli Lifland, Lewis Tunstall, Abhishek Thakur, Pegah Maham, C. Jess Riedel, Emmie Hine, Carolyn Ashurst, Paul Sedille, Alexis Carlier, Michael Noetel, Andreas Stuhlmüller

Will models soon solve classification tasks that have so far been reserved for human research assistants?

Ranked #2 on Few-Shot Text Classification on RAFT

Few-Shot Learning Few-Shot Text Classification +1

Paper
Code

Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods

no code implementations • 17 May 2021 • Etienne David, Mario Serouart, Daniel Smith, Simon Madec, Kaaviya Velumani, Shouyang Liu, Xu Wang, Francisco Pinto Espinosa, Shahameh Shafiee, Izzat S. A. Tahir, Hisashi Tsujimoto, Shuhei Nasuda, Bangyou Zheng, Norbert Kichgessner, Helge Aasen, Andreas Hund, Pouria Sadhegi-Tehran, Koichi Nagasawa, Goro Ishikawa, Sébastien Dandrifosse, Alexis Carlier, Benoit Mercatoris, Ken Kuroki, Haozhou Wang, Masanori Ishii, Minhajul A. Badhon, Curtis Pozniak, David Shaner LeBauer, Morten Lilimo, Jesse Poland, Scott Chapman, Benoit de Solan, Frédéric Baret, Ian Stavness, Wei Guo

We now release a new version of the Global Wheat Head Detection (GWHD) dataset in 2021, which is bigger, more diverse, and less noisy than the 2020 version.

Benchmarking Head Detection

Paper
Add Code

Cannot find the paper you are looking for? You can Submit a new open access paper.