1 citations · 1 across the 3 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025★ 1 cited
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning
Huandong Chang, Zicheng Ma, Mingyuan Ma +4
Low-Rank Adaptation (LoRA) has become a widely adopted technique for fine-tuning large-scale pre-trained models with minimal parameter updates. However, existing methods rely on fi…
cs.LG2023
Rosko: Row Skipping Outer Products for Sparse Matrix Multiplication Kernels
Vikas Natesh, Andrew Sabot, H. T. Kung +1
We propose Rosko -- row skipping outer products -- for deriving sparse matrix multiplication (SpMM) kernels in reducing computation and memory access requirements of deep neural ne…
cs.LG2023
MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers
Andrew Sabot, Vikas Natesh, H. T. Kung +1
We present the MEMA framework for the easy and quick derivation of efficient inference runtimes that minimize external memory accesses for matrix multiplication on TinyML systems.…