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DTSTAMP:20211208T164510Z
LOCATION:3018
DTSTART;TZID=America/Los_Angeles:20211207T143500
DTEND;TZID=America/Los_Angeles:20211207T150000
UID:dac_DAC 2021_sess157@linklings.com
SUMMARY:Beyond Supervised Learning: Approaches for Efficient and Reliable 
 Intelligence
DESCRIPTION:Research Manuscript\n\nAs AI is entering into all aspects of o
 ur lives, issues such as scalability, privacy, and reliability become pred
 ominant in addition to performance. There exists an increasing interest in
  non-traditional methods to address the efficiency/complexity dilemma enco
 untered in supervised learning. This session presents four diverse approac
 hes along with federated learning, Hyper-dimensional computing, reinforcem
 ent learning, and verifiable deep learning.\n\nA3C-S: Automated Agent Acce
 lerator Co-Search towards Efficient Deep Reinforcement Learning\n\nZhang\n
 \nDriven by the explosive interest in applying deep reinforcement learning
  (DRL) agents for numerous real-time control and decision-making applicati
 ons, there has been a growing demand to deploy DRL agents to empower daily
 -life intelligent devices, while the prohibitive complexity of DRL stands 
 at the...\n\n\nTopic: Design\n\nKeyword: AI/ML System Design\n\nVirtual Pr
 ogram: Presented In-Person
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