Nevertheless, implementing a BDNN on resource-constrained devices poses challenges due to the substantial computational and storage costs imposed by approximation inference techniques. Thus, efficient compression methods should be utilized. We propose an uncertainty-based knowledge distillation method to ...
Mobile devices are integral to daily life, necessitating secure authentication methods like speaker verification for enhanced security and convenience. Whi... KA Hoang,K Duong,TNV Minh,... - Pacific Rim International Conference on Artificial Intelligence 被引量: 0发表: 2025年 Design, Assembly and ...
The inference speed attained using our method is much faster than those of the other two methods, and at the same time, the number of computations is much lower than those of the other two methods, proving the effectiveness of our model. Table 6 Inference time and Macs on the Cifar-100 ...
Though feature-alignment based Domain Adaptive Object Detection (DAOD) methods have achieved remarkable progress, they ignore the source bias issue, i.e., the detector tends to acquire more source-specific knowledge, impeding its generalization capabilities in the target domain. Furthermore, these met...
s 5G toolbox for adversarial attacks and defensive distillation-based mitigation methods. The adversarial attacks produce faulty results by manipulating trained DL-based models for channel estimation in NextG networks, while making models more robust against any attacks through mitigation methods. This ...
[8,9,10]. Other methods include generating AEs that minimize a loss function over the input [11], changing only one of the most critical pixels in the image [12], and combining multiple methods of creating AEs [13]. The effectiveness of the attack usually depends on the value of the ...
Textbreweris designed for the knowledge distillation of NLP models. It provides various distillation methods and offers a distillation framework for quickly setting up experiments. The main features ofTextBrewerare: Wide-support: it supports various model architectures (especiallytransformer-based models) ...
TextBreweris a PyTorch-based model distillation toolkit for natural language processing. It includes various distillation techniques from both NLP and CV field and provides an easy-to-use distillation framework, which allows users to quickly experiment with the state-of-the-art distillation methods to...
In addition, most of the KD methods focus on cutting down the computational and storage costs of EEG decoding methods, and none of them have been used to improve the performance of short-length EEG signals. In light of this, this study presents a new perspective to solve the performance ...
However, these information retrieval-based methods cannot uncover the deep connection between natural language and code language, this leads to the lack of accuracy in methods. With the rapid development of NLP, some scholars start using deep learning models to solve the problem of code retrieval ...