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November 2020 |
Sun
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Mon
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Tue
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Wed
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Thu
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Fri
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Sat
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1
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2
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3
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4
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5
4 p.m. - 5:45 p.m.
CS 201: Representation Learning and Exploration in Reinforcement Learning, AKSHAY KRISHNAMURTHY, Microsoft Research - New York
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6
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7
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8
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9
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10
4 p.m. - 5:45 p.m.
CS 201: Offline Reinforcement Learning via Optimization Lens, BO DAI, Google Brain
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11
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12
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13
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14
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15
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16
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17
4 p.m. - 5:45 p.m.
CS 201: On Fine-Tuning of Pretrained Language Models under Limited or Weak Supervision, TUO ZHAO, Georgia Tech & Engineering
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18
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19
4 p.m. - 5:45 p.m.
CS 201: Data, Detection, and Metrics for Autonomous Vehicles, OSCAR BEIJBOM, Motional
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20
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21
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22
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23
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24
4 p.m. - 5:45 p.m.
CS 201: NLP meets Database, CAIMING XIONG, Salesforce Research
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25
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26
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27
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28
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29
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30
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1
4 p.m. - 5:45 p.m.
CS 201: Computational / Statistical Gaps for Learning Neural Networks, ADAM KLIVANS, UT Austin
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2
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3
4 p.m. - 5:45 p.m.
CS 201: Common Sense Reasoning Through Causal Probabilistic Programming, ZENNA TAVARES, MIT
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4
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5
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