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Simple Open-Vocabulary Object Detection with Vision Transformers



Matthias Minderer , Alexey Gritsenko , Austin Stone , Maxim Neumann , Dirk Weissenborn , Alexey Dosovitskiy , Aravindh Mahendran , Anurag Arnab , Mostafa Dehghani , Zhuoran Shen , Xiao Wang , Xiaohua Zhai , Thomas Kipf , Neil Houlsby


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Unifying Language Learning Paradigms



Yi Tay , Mostafa Dehghani , Vinh Q. Tran , Xavier Garcia , Dara Bahri , Tal Schuster , Huaixiu Steven Zheng , Neil Houlsby , Donald Metzler


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Retrieval-Enhanced Machine Learning



Hamed Zamani , Fernando Diaz , Mostafa Dehghani , Donald Metzler , Michael Bendersky

* To appear in proceedings of ACM SIGIR 2022 

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Transformer Memory as a Differentiable Search Index



Yi Tay , Vinh Q. Tran , Mostafa Dehghani , Jianmo Ni , Dara Bahri , Harsh Mehta , Zhen Qin , Kai Hui , Zhe Zhao , Jai Gupta , Tal Schuster , William W. Cohen , Donald Metzler


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VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling



Yang Li , Gang Li , Xin Zhou , Mostafa Dehghani , Alexey Gritsenko


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PolyViT: Co-training Vision Transformers on Images, Videos and Audio



Valerii Likhosherstov , Anurag Arnab , Krzysztof Choromanski , Mario Lucic , Yi Tay , Adrian Weller , Mostafa Dehghani


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Discrete Representations Strengthen Vision Transformer Robustness



Chengzhi Mao , Lu Jiang , Mostafa Dehghani , Carl Vondrick , Rahul Sukthankar , Irfan Essa


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The Efficiency Misnomer



Mostafa Dehghani , Anurag Arnab , Lucas Beyer , Ashish Vaswani , Yi Tay


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SCENIC: A JAX Library for Computer Vision Research and Beyond



Mostafa Dehghani , Alexey Gritsenko , Anurag Arnab , Matthias Minderer , Yi Tay


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Exploring the Limits of Large Scale Pre-training



Samira Abnar , Mostafa Dehghani , Behnam Neyshabur , Hanie Sedghi


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