Abstract: Coordinate classification is an efficient approach to 2-D human pose estimation (HPE), treating keypoint predictions as sub-pixel bins along horizontal and vertical axes, thereby avoiding ...

Length generalization, the ability to generalize from small training context sizes to larger ones, is a critical challenge in the development of Transformer-based language models. Positional encoding ...

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The 2025 fantasy football season is quickly approaching, and with it comes not only our draft kit full of everything you need, but also updated rankings. Below you will find rankings for non-, half- ...

The current Conformer implementation in Torchaudio is missing the relative sinusoidal positional encoding scheme that is a key component of the original Conformer architecture as described in the ...

Spiking neural networks (SNNs) are bio-inspired networks that mimic how neurons in the brain communicate through discrete spikes, which have great potential in various tasks due to their energy ...