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20242026
most citedHLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization

1 citations · 1 across the 5 of their papers we have counts for

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cs.LG2025

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation

Juncheol Shin, Minsang Seok, Seonggon Kim +1

Model merging has emerged as a powerful technique for combining task-specific weights, achieving superior performance in multi-target domain adaptation. However, when applied to pr…

cs.LG2025

HOT: Hadamard-based Optimized Training

Seonggon Kim, Juncheol Shin, Seung-taek Woo +1

It has become increasingly important to optimize backpropagation to reduce memory usage and computational overhead. Achieving this goal is highly challenging, as multiple objective…