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[D] Max-over-time pooling vs no max-pooling for text classification? • r/MachineLearning
Kim 2014 and Collobert 2011 argue that max-over-time pooling helps getting the words from a sentence that are most important to the semantics. Then I read a blog post from the Googler Lakshmanan V on text classification. The author argues that spatial invariance isn't wanted because it's important where words are placed in a sentence. Thus he doesn't recommend maxpool. Are there empirical studies that compares the two approaches?
The four industries making best use of artificial intelligence
Was this the legal sector's "Kodak moment"? The event that signalled the beginning of the end: "The people of Darwin can just about take the law into their own hands, with a new legal firm going lawyer-free," ABC News reported recently. "With a few clicks of a button, a client can enter their details and will then be asked a few simple questions by Ailira, before the robot generates a fully certified will, using the Ailira system." Right now, Australia has only a handful of businesses that have successfully integrated artificial intelligence into their day-to-day operations. But each month we are witnessing advancements and seeing early adopters reap the benefits.
'Blade Runner 2049' VFX reel shows CG tricks behind bleak landscapes
There's no question that Blade Runner 2049 revolves around computer-generated effects, whether it's the retro-futuristic technology or its holographic AI personas. However, the CG is more pervasive than you might think. Rodeo FX has released a visual effects reel for Denis Villeneuve's bleak sci-fi movie, and it's evident that even the seemingly mundane shots were draped in digital artwork. Caution: there are mild spoilers ahead. It's not shocking that some scenes are entirely CG (such as flights over the future Los Angeles), or have to use it to fill in landscapes that don't exist. However, it's the extent to which it's used.