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pro vyhledávání: '"Choe, Hyeokjun"'
Autor:
Lee, Chanhui, Kim, Juhyeon, Jeong, Yongjun, Lyu, Juhyun, Kim, Junghee, Lee, Sangmin, Han, Sangjun, Choe, Hyeokjun, Park, Soyeon, Lim, Woohyung, Lim, Sungbin, Lee, Sanghack
Scaling laws have allowed Pre-trained Language Models (PLMs) into the field of causal reasoning. Causal reasoning of PLM relies solely on text-based descriptions, in contrast to causal discovery which aims to determine the causal relationships betwee
Externí odkaz:
http://arxiv.org/abs/2311.11212
Spiking neural networks (SNNs) that mimic information transmission in the brain can energy-efficiently process spatio-temporal information through discrete and sparse spikes, thereby receiving considerable attention. To improve accuracy and energy ef
Externí odkaz:
http://arxiv.org/abs/2201.12738
Deep neural networks continue to awe the world with their remarkable performance. Their predictions, however, are prone to be corrupted by adversarial examples that are imperceptible to humans. Current efforts to improve the robustness of neural netw
Externí odkaz:
http://arxiv.org/abs/2108.01289
Despite the increasing interest in neural architecture search (NAS), the significant computational cost of NAS is a hindrance to researchers. Hence, we propose to reduce the cost of NAS using proxy data, i.e., a representative subset of the target da
Externí odkaz:
http://arxiv.org/abs/2106.04784
The spiking neural networks (SNNs) are considered as one of the most promising artificial neural networks due to their energy efficient computing capability. Recently, conversion of a trained deep neural network to an SNN has improved the accuracy of
Externí odkaz:
http://arxiv.org/abs/1809.03142
Autor:
Choe, Hyeokjun, Lee, Seil, Nam, Hyunha, Park, Seongsik, Kim, Seijoon, Chung, Eui-Young, Yoon, Sungroh
Near-data processing (NDP) refers to augmenting memory or storage with processing power. Despite its potential for acceleration computing and reducing power requirements, only limited progress has been made in popularizing NDP for various reasons. Re
Externí odkaz:
http://arxiv.org/abs/1610.02273
Akademický článek
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Autor:
Lee, Seil, Kim, Hanjoo, Park, Seongsik, Kim, Seijoon, Choe, Hyeokjun, Jeong, Chang-Sung, Yoon, Sungroh
Publikováno v:
2016 IEEE 34th International Conference on Computer Design (ICCD); 2016, p436-439, 4p