Learning to Defer to a Population: A Meta-Learning Approach

1 code implementation • 5 Mar 2024 • Dharmesh Tailor, Aditya Patra, Rajeev Verma, Putra Manggala, Eric Nalisnick

The learning to defer (L2D) framework allows autonomous systems to be safe and robust by allocating difficult decisions to a human expert.

Meta-Learning Traffic Sign Detection

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021

no code implementations • 5 May 2022 • Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Marc-Alexandre Côté, Katja Hofmann, Ahmed Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszadi, Michiel van der Meer, Taewoon Kim

The primary goal of the competition is to approach the problem of how to build interactive agents that learn to solve a task while provided with grounded natural language instructions in a collaborative environment.

On augmenting the references section with a citation network visualization

no code implementations • ICLR Workshop Rethinking_ML_Papers 2021 • Putra Manggala, Tigran Atoyan, Gracia Samosir, Jan Varsava, Johannes Ruf

Researchers often find relevant articles by looking at the references section.

Aesthetic Features for Personalized Photo Recommendation

no code implementations • 31 Aug 2018 • Yu Qing Zhou, Ga Wu, Scott Sanner, Putra Manggala

Many photography websites such as Flickr, 500px, Unsplash, and Adobe Behance are used by amateur and professional photography enthusiasts.

Collaborative Filtering Image Retrieval +1