Abstract: The long-tailed data distribution frequently occurs in the real-world scenarios, whereas deep learning is not effective enough for such distribution. In order to improve the effectiveness ...
A transformer is a neural network architecture that changes data input sequence into an output. Text, audio, and images are ...
LLM-Based Data Augmentation Method in Reinforcement Learning With Machine-Unlearning and Fine-Tuning
Abstract: Data augmentation in reinforcement learning (RL) aims to generate diverse and extensive datasets to enhance the learning process. Most existing studies on RL augmentation employ sample-based ...
A long-term and ongoing campaign attributed to a China-nexus threat actor has embedded itself in telecom networks to conduct espionage against government networks. The strategic positioning activity, ...
The WPDT systems mainly consists of power amplifiers, coils, modulation/demodulation blocks, rectifier and voltage regulator. Modulation schemes (ASK, PSK, FSK) show data encoding methods. The review ...
In the spring of 2020, the Federal Reserve faced a challenge: The COVID-19 pandemic was upending daily life with shutdowns, social distancing, and heightened uncertainty, but the traditional economic ...
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