N
Nicholas Hynes
Researcher at Massachusetts Institute of Technology
Publications - 11
Citations - 1285
Nicholas Hynes is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Game theory & Valuation (finance). The author has an hindex of 9, co-authored 11 publications receiving 822 citations. Previous affiliations of Nicholas Hynes include University of California, Berkeley.
Papers
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Proceedings ArticleDOI
Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Amaia Salvador,Nicholas Hynes,Yusuf Aytar,Javier Marin,Ferda Ofli,Ingmar Weber,Antonio Torralba +6 more
TL;DR: This paper introduces Recipe1M, a new large-scale, structured corpus of over 1m cooking recipes and 800k food images, and demonstrates that regularization via the addition of a high-level classification objective both improves retrieval performance to rival that of humans and enables semantic vector arithmetic.
Proceedings ArticleDOI
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution
Raymond Cheng,Fan Zhang,Jernej Kos,Warren He,Nicholas Hynes,Noah M. Johnson,Ari Juels,Andrew Miller,Dawn Song +8 more
TL;DR: Ekiden as mentioned in this paper is a system that combines blockchains with Trusted Execution Environments (TEEs), and leverages a novel architecture that separates consensus from execution, enabling efficient TEE-backed confidentiality-preserving smart-contracts and high scalability.
Posted Content
Towards Efficient Data Valuation Based on the Shapley Value.
Ruoxi Jia,David Dao,Boxin Wang,Frances Ann Hubis,Nicholas Hynes,Nezihe Merve Gürel,Bo Li,Ce Zhang,Dawn Song,Costas J. Spanos +9 more
TL;DR: This paper proposes a repertoire of efficient algorithms for approximating the Shapley value, a popular notion of value which originated in coopoerative game theory and demonstrates the value of each training instance for various benchmark datasets.
Journal ArticleDOI
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Javier Marin,Aritro Biswas,Ferda Ofli,Nicholas Hynes,Amaia Salvador,Yusuf Aytar,Ingmar Weber,Antonio Torralba +7 more
TL;DR: The Recipe1M+ dataset as mentioned in this paper is a large-scale, structured corpus of over one million cooking recipes and 13 million food images, which enables the ability to train high-capacity models on aligned, multimodal data.
Proceedings Article
Towards Efficient Data Valuation Based on the Shapley Value
Ruoxi Jia,David Dao,Boxin Wang,Frances Ann Hubis,Nicholas Hynes,Nezihe Merve Gürel,Bo Li,Ce Zhang,Dawn Song,Costas J. Spanos +9 more
TL;DR: In this article, the authors study the problem of ''how much is my data worth'' by utilizing the Shapley value, a popular notion of value which originated in co-operative game theory.