Zobrazeno 1 - 10
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pro vyhledávání: '"Ma, Xiyao"'
Large Language models (LLMs) have demonstrated impressive in-context learning (ICL) capabilities, where a LLM makes predictions for a given test input together with a few input-output pairs (demonstrations). Nevertheless, the inclusion of demonstrati
Externí odkaz:
http://arxiv.org/abs/2403.06914
Current federated learning algorithms take tens of communication rounds transmitting unwieldy model weights under ideal circumstances and hundreds when data is poorly distributed. Inspired by recent work on dataset distillation and distributed one-sh
Externí odkaz:
http://arxiv.org/abs/2009.07999
Asking questions from natural language text has attracted increasing attention recently, and several schemes have been proposed with promising results by asking the right question words and copy relevant words from the input to the question. However,
Externí odkaz:
http://arxiv.org/abs/2009.07402
Variational Autoencoder (VAE) is widely used as a generative model to approximate a model's posterior on latent variables by combining the amortized variational inference and deep neural networks. However, when paired with strong autoregressive decod
Externí odkaz:
http://arxiv.org/abs/2004.12585
Taking an answer and its context as input, sequence-to-sequence models have made considerable progress on question generation. However, we observe that these approaches often generate wrong question words or keywords and copy answer-irrelevant words
Externí odkaz:
http://arxiv.org/abs/1912.00879
Autor:
Zhou, Yanlin, Lu, Fan, Pu, George, Ma, Xiyao, Sun, Runhan, Chen, Hsi-Yuan, Li, Xiaolin, Wu, Dapeng
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019)
We propose a deep reinforcement learning (DRL) methodology for the tracking, obstacle avoidance, and formation control of nonholonomic robots. By separating vision-based control into a perception module and a controller module, we can train a DRL age
Externí odkaz:
http://arxiv.org/abs/1911.06882
Autor:
Dai, Huanyu, Lai, Zhichao, Liu, Shiqi, Shao, Jiang, Li, Kang, Wang, Chaonan, Kong, Deqiang, Xie, Xiaoliang, Zhou, Xiaohu, Feng, Zhenqiu, Ma, Xiyao, Liu, Bao, Hou, Zengguang
Publikováno v:
In Intelligent Surgery 2023 6:78-81
Akademický článek
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Akademický článek
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Autor:
Hu Q; Amazon Alexa AI, Seattle, WA, United States., Mohamed T; Amazon Alexa AI, Seattle, WA, United States., Xiao W; Amazon Alexa AI, Seattle, WA, United States., Ma X; Amazon Alexa AI, Seattle, WA, United States., Gao X; Amazon Alexa AI, Seattle, WA, United States., Gao Z; Amazon Alexa AI, Seattle, WA, United States., Arava R; Amazon Alexa AI, Seattle, WA, United States., AbdelHady M; Amazon Alexa AI, Seattle, WA, United States.
Publikováno v:
Frontiers in big data [Front Big Data] 2022 Apr 25; Vol. 5, pp. 867251. Date of Electronic Publication: 2022 Apr 25 (Print Publication: 2022).