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Explore the Power of Dropout on Few-shot Learning


Jan 26, 2023
Shaobo Lin, Xingyu Zeng, Rui Zhao

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* arXiv admin note: substantial text overlap with arXiv:2210.06409 

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Transformer in Transformer as Backbone for Deep Reinforcement Learning


Jan 03, 2023
Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao

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* As far as we know, TIT is the first pure Transformer-based backbone for deep online and offline RL, and it also extends the offline SL paradigm proposed by Decision Transformer 

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Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models


Dec 05, 2022
Rui Zhao, Jian Xue, Partha Parthasarathy, Veljko Miljanic, Jinyu Li

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Exploring Stochastic Autoregressive Image Modeling for Visual Representation


Dec 03, 2022
Yu Qi, Fan Yang, Yousong Zhu, Yufei Liu, Liwei Wu, Rui Zhao, Wei Li

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* Accepted by AAAI 2023 

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MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection


Nov 28, 2022
Tianpeng Bao, Jiadong Chen, Wei Li, Xiang Wang, Jingjing Fei, Liwei Wu, Rui Zhao, Ye Zheng

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PUnifiedNER: a Prompting-based Unified NER System for Diverse Datasets


Nov 27, 2022
Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan

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* Accepted to AAAI 2023 

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LongFNT: Long-form Speech Recognition with Factorized Neural Transducer


Nov 17, 2022
Xun Gong, Yu Wu, Jinyu Li, Shujie Liu, Rui Zhao, Xie Chen, Yanmin Qian

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* Submitted to ICASSP2023 

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A Unified Framework with Meta-dropout for Few-shot Learning


Oct 12, 2022
Shaobo Lin, Xingyu Zeng, Rui Zhao

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SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning


Oct 08, 2022
Zhenyu Mao, Dongsheng Zhu, Jinghui Lu, Rui Zhao, Fei Tan

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What Makes Pre-trained Language Models Better Zero/Few-shot Learners?


Sep 30, 2022
Jinghui Lu, Rui Zhao, Brian Mac Namee, Dongsheng Zhu, Weidong Han, Fei Tan

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