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@boknilev
Associate professor of computer science @TechnionLive.
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A user points to rising submissions in asking whether the conference should make such a substantial cut.
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An October 8 post pointed attendees to @YNikankin's work at poster 70 in the Imperial Ballroom.
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An October 7 post named @Itay_itzhak_ as the presenter at poster 10 in the grand ballroom.
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A post invites attendees to Poster 11 in the Imperial Ballroom to discuss scaling up interpretability research.
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The paper’s authors say MAttr uses gradient descent to find which parts of a neural network are responsible for a behavior. They report a benchmark result of 2.9× the runner-up.