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Class imbalance and continual domain shifts can be tackled simultaneously with BP-TTA, leading to more reliable model adaptations in dynamic environments.
SNNs can achieve higher accuracy and lower latency by learning the optimal spiking resolution for each layer, rather than relying on predefined burst structures.