MURAL: Multimodal, Multitask Representations Across Languages
By Aashi Jain, Mandy Guo, Krishna Srinivasan, Ting-Li Chen, Sneha Kudugunta, Chao Jia, Yinfei Yang, Jason Baldridge. 2021
50 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Multimodal Learning, Representation & Self-Supervised Learning
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Ivan Vulic
- Jonas Pfeiffer
- Sebastian Ruder
- Ankur Bapna
- Iryna Gurevych
- Graham Neubig
- Alexis Conneau
- Yu Zhang
In Computer Vision and Pattern Recognition
- Ivan Vulic
- Jonas Pfeiffer
- Ankur Bapna
- Edoardo Maria Ponti
- Sebastian Ruder
- Yu Zhang
- Iryna Gurevych
- Siva Reddy
In Multimodal Learning
- Ivan Vulic
- Jonas Pfeiffer
- Alexis Conneau
- Fangyu Liu
- Siva Reddy
- Yu Zhang
- Desmond Elliott
- Lucia Specia
In Representation & Self-Supervised Learning
- Ivan Vulic
- Ankur Bapna
- Yu Zhang
- Jonas Pfeiffer
- Fangyu Liu
- Siva Reddy
- Alexis Conneau
- Edoardo Maria Ponti
Citations in the corpus
- FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech (2022, background): “The ability to build fixed-sized vector representations for queries be it speech, text or images, will enhance such content retrieval models [34, 35].”
- IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages (2022, background): “, 2021), and cross-modal retrieval (Jain et al., 2021).”
- Language-Agnostic Visual Embeddings for Cross-Script Handwriting Retrieval (2026, unknown): “…et al. , 2021], ALIGN [Jia et al. , 2021], and their multilingual variants (e.g., M 3 P [Ni et al. , 2021], UC 2 [Zhou et al. , 2021], MURAL [Jain et al. , 2021]) established the vision-language alignment paradigm via contrastive learning, extending to specialized domains [Wan et al. ,…”