Graph transformer networks allow multimodule document recognition systems to be trained globally with gradient methods to minimize overall performance.

Added to korrents 9 Sept 2026 · How quotes work · Something wrong? Tell us

Shared subject first, then similar wording. They may agree or disagree.

• Sequence transduction can use a simple architecture based solely on attention, without recurrence or convolutions. AVAshish Vaswani12 Jun 2017
• A transduction model can rely entirely on self-attention for input and output representations without sequence-aligned RNNs or convolution. AVAshish Vaswani12 Jun 2017
• Work on large language models is not progress toward artificial general intelligence, because the models do not understand what they read. AGAlexey Guzey9 Aug 2024
• With suitable architecture, gradient-based learning can form decision surfaces that classify high-dimensional patterns such as handwritten characters with minimal preprocessing. YBYoshua Bengio1 Jan 1998
• Residual networks are easier to optimize than plain ones and keep gaining accuracy as depth increases. KHKaiming He10 Dec 2015

See this claim on the map