RoDE: Linear Rectified Mixture of Diverse Experts for Food Large
Multi-Modal Models

RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models

17 July 2024

Chong-Wah Ngo

ArXiv (abs)PDF HTML

Papers citing "RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models"

8 / 8 papers shown

Title
EventHallusion: Diagnosing Event Hallucinations in Video LLMs Jiacheng Zhang Yang Jiao Shaoxiang Chen Jingjing Chen Zhiyu Tan Hao Li Jingjing Chen MLLM 113 23 0 25 Sep 2024
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition Chengsong Huang Qian Liu Bill Yuchen Lin Tianyu Pang Chao Du Min Lin MoMe 103 214 0 25 Jul 2023
Mining Discriminative Food Regions for Accurate Food Recognition Jianing Qiu Frank P.-W. Lo Yingnan Sun Siyao Wang Benny Lo 67 46 0 08 Jul 2022
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 308 369 0 18 Feb 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 502 10,526 0 17 Jun 2021
Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food Quin Thames Arjun Karpur W. Norris Fangting Xia Liviu Panait Tobias Weyand Jack Sim 78 86 0 04 Mar 2021
Inverse Cooking: Recipe Generation from Food Images Amaia Salvador M. Drozdzal Xavier Giró-i-Nieto Adriana Romero 71 147 0 14 Dec 2018
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 62 324 0 14 Oct 2018

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.