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Course Level Date Clip# Line Interlocutor Content
Oral Assessments Graduate 2024-07-19 3 77 S01 effectiveness of- effectiveness of
Oral Assessments Graduate 2024-07-19 3 78 S01 algorithms trend in this domain↘ (0.6)
Oral Assessments Graduate 2024-07-19 3 79 S01 however→ because of thi- this problem
Oral Assessments Graduate 2024-07-19 3 80 S01 of catastrophic forgetting↘ (0.9) specific
Oral Assessments Graduate 2024-07-19 3 81 S01 uh regu- regulations have to be introduced↘
Oral Assessments Graduate 2024-07-19 3 82 S01 and designed↘ in order to make these
Oral Assessments Graduate 2024-07-19 3 83 S01 ourselves work better↘ (0.6) the second
Oral Assessments Graduate 2024-07-19 3 84 S01 reason is that uh they can tell us (0.8)
Oral Assessments Graduate 2024-07-19 3 85 S01 some sort of difference between the (0.8)
Oral Assessments Graduate 2024-07-19 3 86 S01 learning process of the ∆artificial∆
Oral Assessments Graduate 2024-07-19 3 87 S01 ∆neural networks∆↗ (0.5) with our humans↘
Oral Assessments Graduate 2024-07-19 3 88 S01 as we're human to not just forget what we
Oral Assessments Graduate 2024-07-19 3 89 S01 have learned in the learning new things↘
Oral Assessments Graduate 2024-07-19 3 90 S01 there's a models that artificial networks
Oral Assessments Graduate 2024-07-19 3 91 S01 will↘ (0.4) so (0.6) it i- has this- this
Oral Assessments Graduate 2024-07-19 3 92 S01 inspired some works in (1.1) °uh° exploring
Oral Assessments Graduate 2024-07-19 3 93 S01 most of the reasons behind that and how
Oral Assessments Graduate 2024-07-19 3 94 S01 can we s- (1.5) devise new algorithms↘ to
Oral Assessments Graduate 2024-07-19 3 95 S01 circumstance↗ this↘
Oral Assessments Graduate 2024-07-19 3 96 UNK (0.6)
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