Nan Ding

Nan Ding

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PaLI: A Jointly-Scaled Multilingual Language-Image Model
Xi Chen
Xiao Wang
Soravit Changpinyo
AJ Piergiovanni
Piotr Padlewski
Daniel Salz
Sebastian Alexander Goodman
Adam Grycner
Basil Mustafa
Lucas Beyer
Alexander Kolesnikov
Joan Puigcerver
Nan Ding
Keran Rong
Hassan Akbari
Gaurav Mishra
Linting Xue
Ashish Thapliyal
James Bradbury
Weicheng Kuo
Mojtaba Seyedhosseini
Chao Jia
Burcu Karagol Ayan
Carlos Riquelme
Andreas Steiner
Anelia Angelova
Xiaohua Zhai
Neil Houlsby
Radu Soricut
International Conference on Learning Representations (ICLR) (2023)
All You May Need for VQA are Image Captions
Beer Changpinyo
Doron Kukliansky
Idan Szpektor
Xi Chen
Nan Ding
Radu Soricut
NAACL (2022)
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Beer Changpinyo
Piyush Sharma
Nan Ding
Radu Soricut
CVPR (2021)
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-shot Meta-learning
Nan Ding
Xi Chen
Tomer Levinboim
Sebastian Alexander Goodman
Radu Soricut
Advances in Neural Information Processing Systems 2021
TeaForN: Teacher-Forcing with N-grams
Nan Ding
Radu Soricut
Sebastian Alexander Goodman
EMNLP 2020
Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning
Piyush Sharma
Nan Ding
Sebastian Goodman
Radu Soricut
ACL (2018)
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Ye Zhang
Nan Ding
Radu Soricut
Proceedings of NAACL-HLT, ACL (2018)
Characterizing Quantum Supremacy in Near-Term Devices
Sergio Boixo
Sergei Isakov
Vadim Smelyanskiy
Ryan Babbush
Nan Ding
Zhang Jiang
Michael J. Bremner
John Martinis
Hartmut Neven
Nature Physics, 14 (2018), 595–600
Cold-Start Reinforcement Learning with Softmax Policy Gradients
Nan Ding
Radu Soricut
NIPS (2017)
Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors
Radu Soricut
Nan Ding
Arxiv, https://arxiv.org/abs/1612.04342 (2016)
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