KitchenScale: Learning to predict ingredient quantities from recipe
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KitchenScale: Learning to predict ingredient quantities from recipe contexts

21 April 2023

Samy Badreddine

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Papers citing "KitchenScale: Learning to predict ingredient quantities from recipe contexts"

19 / 19 papers shown

Title
RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer Mogan Gim Donghee Choi Kana Maruyama Jihun Choi Hajung Kim Donghyeon Park Jaewoo Kang 66 5 0 14 Oct 2022
Standing on the Shoulders of Giant Frozen Language Models Yoav Levine Itay Dalmedigos Ori Ram Yoel Zeldes Daniel Jannai ... Barak Lenz Shai Shalev-Shwartz Amnon Shashua Kevin Leyton-Brown Y. Shoham VLM 92 49 0 21 Apr 2022
Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context Daniel M. Spokoyny Ivan Lee Zhao Jin Taylor Berg-Kirkpatrick 51 8 0 16 Dec 2021
It's not Rocket Science : Interpreting Figurative Language in Narratives Tuhin Chakrabarty Yejin Choi Vered Shwartz 87 58 0 31 Aug 2021
SHARE: a System for Hierarchical Assistive Recipe Editing Shuyang Li Yufei Li Jianmo Ni Julian McAuley 38 19 0 17 May 2021
Representing Numbers in NLP: a Survey and a Vision Avijit Thawani Jay Pujara Pedro A. Szekely Filip Ilievski 76 117 0 24 Mar 2021
An Empirical Investigation of Contextualized Number Prediction Daniel M. Spokoyny Taylor Berg-Kirkpatrick AI4TS 62 37 0 20 Oct 2020
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 383 627 0 13 Oct 2020
Do Language Embeddings Capture Scales? Xikun Zhang Deepak Ramachandran Ian Tenney Yanai Elazar Dan Roth MILM ReLM LRM 66 93 0 11 Oct 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 880 42,463 0 28 May 2020
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models Bill Yuchen Lin Seyeon Lee Rahul Khanna Xiang Ren AIMat 75 158 0 02 May 2020
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System Helena H. Lee Shu Ke Palakorn Achananuparp P. K. Prasetyo Yue Liu Ee-Peng Lim Lav Varshney 120 64 0 05 Mar 2020
Do NLP Models Know Numbers? Probing Numeracy in Embeddings Eric Wallace Yizhong Wang Sujian Li Sameer Singh Matt Gardner 75 265 0 17 Sep 2019
How Large Are Lions? Inducing Distributions over Quantitative Attributes Yanai Elazar A. Mahabal Deepak Ramachandran Tania Bedrax-Weiss Dan Roth 60 59 0 04 Jun 2019
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images Javier Marín Aritro Biswas Ferda Ofli Nick Hynes Amaia Salvador Y. Aytar Ingmar Weber Antonio Torralba 60 324 0 14 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers Georgios P. Spithourakis Sebastian Riedel 59 83 0 21 May 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 792 132,454 0 12 Jun 2017
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014

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