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Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming
Neural Information Processing Systems
IoT devices, where limitations in memory, processing power and energy are critical [Sze et al., 2017]. To address these issues, Muller and Indiveri [2015] and Courbariaux et al. [2015b] noted that
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Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations
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In Reinforcement Learning (RL), an agent engages with an environment in a sequential manner.
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A Reduction-based Framework for Sequential Decision Making with Delayed Feedback Y unchang Y ang 1 Han Zhong 1 Tianhao Wu2 Bin Liu 3
Neural Information Processing Systems
More examples include but are not limited to robotics (Mahmood et al.,
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Learning to Tokenize for Generative Retrieval Weiwei Sun 1, Lingyong Y an
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Document retrieval plays an essential role in web search applications and various downstream knowledge-intensive tasks by identifying relevant documents to satisfy users' queries.
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