no code implementations • 2 Jan 2024 • Piao Hu, Jiashuo Jiang, Guodong Lyu, Hao Su
When the model parameters are drawn from unknown non-stationary distributions and we are given machine-learned predictions of the distributions, we develop a new algorithm from our framework with a regret $O(W_T+\sqrt{T})$, where $W_T$ measures the total inaccuracy of the machine-learned predictions.
no code implementations • 1 Oct 2023 • Xiangyu Zeng, Jie Lin, Piao Hu, Ruizheng Huang, Zhicheng Zhang
How humans and machines make sense of current inputs for relation reasoning and question-answering while putting the perceived information into context of our past memories, has been a challenging conundrum in cognitive science and artificial intelligence.
no code implementations • 2019 IEEE Congress on Evolutionary Computation (CEC) 2019 • Piao Hu, Jun Tong, Jingcheng Wang, Yue Yang, Luca de Oliveira Turci
The training time of CNN-Bi-LSTM is less than LSTM, Bi-LSTM, CNN, and CNN-LSTM, but larger than SAEs.