实体
TACO
TACO
PulseAugur coverage of TACO — every cluster mentioning TACO across labs, papers, and developer communities, ranked by signal.
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论文 · 30天
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层级分布 · 90 天
最近 · 第 1/1 页 · 共 3 条
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TACO管线融合IMU和跨视图地理定位以实现精确导航
研究人员开发了TACO，这是一个新管线，它将惯性测量单元（IMU）数据与细粒度的跨视图地理定位（CVGL）紧密集成，可在没有连续GNSS信号的情况下实现精确的定位。该系统旨在在GNSS不可靠的环境中提供准确的位置修复，例如城市峡谷或信号干扰区域。TACO在KITTI数据集上展示了绝对轨迹误差的显著降低，从97.0米提高到16.3米，同时保持了较低的计算成本。
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TACO framework boosts LLM training throughput by 1.87X with tensor compression
Researchers have introduced TACO, a novel framework designed to enhance the efficiency of training large-scale tensor-parallel Large Language Models (LLMs). TACO addresses communication overhead by employing an FP8-base…
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Test-Time Adaptation for Unsupervised Combinatorial Optimization
Researchers have introduced TACO, a novel framework designed to enhance unsupervised neural combinatorial optimization. This approach bridges the gap between models trained for general problem instances and those optimi…