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Thiem Van Chu

2 accepted papers

2025

Binary Quadratic Quantization: Beyond First-Order Quantization for Real-Valued Matrix Compression

NeurIPS 2025poster

This paper proposes a novel matrix quantization method, Binary Quadratic Quan- tization (BQQ). In contrast to conventional first-order quantization approaches— such as uniform quantization and binary coding quantization—that approximate real-valued matrices via linear combinations of binary bases, B…

Cited by 0SourceScholar
2022

Multicoated Supermasks Enhance Hidden Networks

ICML 2022spotlight

Hidden Networks (Ramanujan et al., 2020) showed the possibility of finding accurate subnetworks within a randomly weighted neural network by training a connectivity mask, referred to as supermask. We show that the supermask stops improving even though gradients are not zero, thus underutilizing back…

Cited by 13SourcePDFScholar