Zobrazeno 1 - 10
of 20 617
pro vyhledávání: '"Self-teaching"'
Autor:
Zhang, Xiaoying, Peng, Baolin, Tian, Ye, Zhou, Jingyan, Zhang, Yipeng, Mi, Haitao, Meng, Helen
Large language models (LLMs) often struggle to provide up-to-date information due to their one-time training and the constantly evolving nature of the world. To keep LLMs current, existing approaches typically involve continued pre-training on new do
Externí odkaz:
http://arxiv.org/abs/2406.06326
Publikováno v:
Educational Psychologist. Jan-Mar2023, Vol. 58 Issue 1, p35-56. 22p. 1 Diagram, 4 Charts.
Considering the computation complexity, we propose a Guided Hybrid Quantization with One-to-one Self-Teaching (GHOST}) framework. More concretely, we first design a structure called guided quantization self-distillation (GQSD), which is an innovative
Externí odkaz:
http://arxiv.org/abs/2301.00131
SMUDLP: Self-Teaching Multi-Frame Unsupervised Endoscopic Depth Estimation with Learnable Patchmatch
Unsupervised monocular trained depth estimation models make use of adjacent frames as a supervisory signal during the training phase. However, temporally correlated frames are also available at inference time for many clinical applications, e.g., sur
Externí odkaz:
http://arxiv.org/abs/2205.15034
Autor:
Zhuang, Shengyao, Zuccon, Guido
Current dense retrievers are not robust to out-of-domain and outlier queries, i.e. their effectiveness on these queries is much poorer than what one would expect. In this paper, we consider a specific instance of such queries: queries that contain ty
Externí odkaz:
http://arxiv.org/abs/2204.00716
Publikováno v:
Journal of Research in Reading. Feb2022, Vol. 45 Issue 1, p20-42. 23p.
Place recognition is key to Simultaneous Localization and Mapping (SLAM) and spatial perception. However, a place recognition in the wild often suffers from erroneous predictions due to image variations, e.g., changing viewpoints and street appearanc
Externí odkaz:
http://arxiv.org/abs/2203.01851