Contribution of each component in RPS-Net # Parameters vs Tasks RPS-Net vs iCARL for different #examplars Progressive Nets RPS-Net iCARL

We thank the reviewers for the constructive feedback. Code will be made public. Fig. (a, b, c) best viewed in zoom. R2.1: Difference from PathNet: Our RPS-Net is inspired by PathNet, yet there are notable differences: 1) Architecture: However, for our case i.e., 10+ tasks, PathNet is not feasible, due to a large number See R3.1 for comparison between random selection and genetic algorithms. R2.2: Impact of Varying Examplars: Fig (c) compares RPS-Net with the best existing method (iCARL) for various Our proposed RPS-Net consistently performs better across all budgets.