1 code implementation • 25 Jan 2024 • Muhammad Anwar Ma'sum, Md Rasel Sarkar, Mahardhika Pratama, Savitha Ramasamy, Sreenatha Anavatti, Lin Liu, Habibullah, Ryszard Kowalczyk
A slow learner tailors suitable representations to fast learners.
1 code implementation • 4 Sep 2022 • Tanmoy Dam, Mahardhika Pratama, Md Meftahul Ferdaus, Sreenatha Anavatti, Hussein Abbas
Adversarial continual learning is effective for continual learning problems because of the presence of feature alignment process generating task-invariant features having low susceptibility to the catastrophic forgetting problem.
no code implementations • 23 Feb 2020 • Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha Anavatti
A critical issue in evolutionary robotics is the transfer of controllers learned in simulation to reality.
no code implementations • 4 Mar 2019 • Huanneng Qiu, Matthew Garratt, David Howard, Sreenatha Anavatti
Spiking Neural Networks are powerful computational modelling tools that have attracted much interest because of the bioinspired modelling of synaptic interactions between neurons.