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pro vyhledávání: '"Garg, Bhanu"'
The integration of machine learning models in various real-world applications is becoming more prevalent to assist humans in their daily decision-making tasks as a result of recent advancements in this field. However, it has been discovered that ther
Externí odkaz:
http://arxiv.org/abs/2304.00486
CUDA is one of the most popular choices for GPU programming, but it can only be executed on NVIDIA GPUs. Executing CUDA on non-NVIDIA devices not only benefits the hardware community, but also allows data-parallel computation in heterogeneous systems
Externí odkaz:
http://arxiv.org/abs/2206.07896
Publikováno v:
In Smart Health December 2024 34
Learning from one's mistakes is an effective human learning technique where the learners focus more on the topics where mistakes were made, so as to deepen their understanding. In this paper, we investigate if this human learning strategy can be appl
Externí odkaz:
http://arxiv.org/abs/2111.06353
Autor:
Garg, Bhanu, Manwani, Naresh
The real-world data is often susceptible to label noise, which might constrict the effectiveness of the existing state of the art algorithms for ordinal regression. Existing works on ordinal regression do not take label noise into account. We propose
Externí odkaz:
http://arxiv.org/abs/1912.03488
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