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Found 7 papers, 1 papers with code
How to Build Low-cost Networks for Large Language Models (without Sacrificing Performance)?
We show that LLMs exhibit a unique communication pattern where only small groups of GPUs require high-bandwidth communication to achieve near-optimal training performance.
Efficient Direct-Connect Topologies for Collective Communications
Our algorithms start from small, optimal base topologies and associated communication schedules and use a set of techniques that can be iteratively applied to derive much larger topologies and schedules.
On the FRB luminosity function -- II. Event rate density
Assuming a Schechter luminosity function form, we infer (at the 95% confidence level) that the characteristic FRB event rate density at the upper cut-off luminosity $L^*=2. 9_{-1. 7}^{+11. 9}\times10^{44}\,\rm erg\, s^{-1}$ is $\phi^*=339_{-313}^{+1074}\,\rm Gpc^{-3}\, yr^{-1}$, the power-law index is $\alpha=-1. 79_{-0. 35}^{+0. 31}$, and the lower cut-off luminosity is $L_0\le9. 1\times10^{41}\,\rm erg\, s^{-1}$.
High Energy Astrophysical Phenomena Cosmology and Nongalactic Astrophysics
Distributed Low Precision Training Without Mixed Precision
However, most low precision training solution is based on a mixed precision strategy.
Segmentation is All You Need
Region proposal mechanisms are essential for existing deep learning approaches to object detection in images.
Ranked #1 on
Head Detection
on Rebar Head
FoxNet: A Multi-face Alignment Method
Multi-face alignment aims to identify geometry structures of multiple faces in an image, and its performance is essential for the many practical tasks, such as face recognition, face tracking, and face animation.
Quantum anomalous Hall effect in stable 1T-YN$_2$ monolayer with a large nontrivial band gap and high Chern number
The quantum anomalous Hall (QAH) effect is a topologically nontrivial phase, characterized by a non-zero Chern number defined in the bulk and chiral edge states in the boundary.
Materials Science
