2 papers
cs.AI2026
BP-TTA: Balanced and Prototype-Guided Test-Time Adaptation in Dynamic Scenarios
Shaoyang Huang, Yashi Zhu, Yichen Yu +3
Test-Time Adaptation (TTA) enables models trained on a source domain to adapt online to unlabeled test data under distribution shifts. While recent TTA methods have moved beyond st…
cs.CV2026
QB-LIF: Learnable-Scale Quantized Burst Neurons for Efficient SNNs
Dewei Bai, Hongxiang Peng, Jiajun Mei +4
Binary spike coding enables sparse and event-driven computation in spiking neural networks (SNNs), yet its 1-bit-per-timestep representation fundamentally limits information throug…