Learning to scale multilingual representations for vision-language tasks
Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, and Bryan A. Plummer. 2020 · 2020
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey E. Hinton. 2020 · 2020
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Accelerating large-scale inference with anisotropic vector quantization
Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, and Sanjiv Kumar. 2020 · 2020
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The ubiqus English-Inuktitut system for WMT20
François Hernandez and Vincent Nguyen. 2020 · 2020
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Leveraging monolingual data with self-supervision for multilingual neural machine translation
Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Chen, Sneha Kudugunta, Naveen Arivazhagan, and Yonghui Wu. 2020 · 2020
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IndicSpeech: Text-to-speech corpus for Indian languages
Nimisha Srivastava, Rudrabha Mukhopadhyay, Prajwal K R, and C V Jawahar. 2020 · 2020
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Multilingual universal sentence encoder for semantic retrieval
Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-hsuan Sung, Brian Strope, and Ray Kurzweil. 2020 · 2020
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Large batch optimization for deep learning: Training BERT in 76 minutes
Yang You, Jing Li, Sashank J. Reddi, Jonathan Hseu, Sanjiv Kumar, Srinadh Bhojanapalli, Xiaodan Song, James Demmel, Kurt Keutzer, and Cho-Jui Hsieh. 2020 · 2020
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Improving massively multilingual neural machine translation and zero-shot translation
Biao Zhang, Philip Williams, Ivan Titov, and Rico Sennrich. 2020 · 2020
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Conceptual 12M: Pushing web-scale image-text pre-training to recognize long-tail visual concepts
Original
Soravit Changpinyo, Piyush Sharma, Nan Ding, and Radu Soricut. 2021 · 2021
Closest in time.
Retrieve fast, rerank smart: Cooperative and joint approaches for improved cross-modal retrieval
Original
Gregor Geigle, Jonas Pfeiffer, Nils Reimers, Ivan Vulic, and Iryna Gurevych. 2021 · 2021
Closest in time.
Scaling up visual and vision-language representation learning with noisy text supervision
Original
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc V Le, Yunhsuan Sung, Zhen Li, and Tom Duerig. 2021 · 2021
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M3p: Learning universal representations via multitask multilingual multimodal pre-training
Minheng Ni, Haoyang Huang, Lin Su, Edward Cui, Taroon Bharti, Lijuan Wang, Dongdong Zhang, and Nan Duan. 2021 · 2021
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Crisscrossed captions: Extended intramodal and intermodal semantic similarity judgments for MS-COCO
Zarana Parekh, Jason Baldridge, Daniel Cer, Austin Waters, and Yinfei Yang. 2021 · 2021
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Learning transferable visual models from natural language supervision
Original
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021 · 2021
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WikiMatrix: Mining 135M parallel sentences in 1620 language pairs from Wikipedia
Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong, and Francisco Guzmán. 2021 · 2021
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WIT: Wikipedia-based image text dataset for multimodal multilingual machine learning
Original
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, and Marc Najork. 2021 · 2021
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Uc2: Universal cross-lingual cross-modal vision-and-language pre-training
Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, and Jingjing Liu. 2021 · 2021
Closest in time.