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cs.CV2026
Understanding vision transformer robustness through the lens of out-of-distribution detection
Joey Kuang, Alexander Wong
Vision transformers have shown remarkable performance in vision tasks, but enabling them for accessible and real-time use is still challenging. Quantization reduces memory and infe…
cs.CV2025
Starting Positions Matter: A Study on Better Weight Initialization for Neural Network Quantization
Stone Yun, Alexander Wong
Deep neural network (DNN) quantization for fast, efficient inference has been an important tool in limiting the cost of machine learning (ML) model inference. Quantization-specific…