Preprint Open access
DeltaTTT: Layerwise Optimization for Nonlinear Recurrent Memory
Sequential test-time training adapts a memory network through successive updates, each computing an inner-loop gradient based on the network's previous state. Intuitively, this state dependence should allow each update to account for what the memory has already learned and better incorporate new information. However, w …