10 citations · 27 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 9 cited
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Justin Zhao, Timothy Wang, Wael Abid +7
Low Rank Adaptation (LoRA) has emerged as one of the most widely adopted methods for Parameter Efficient Fine-Tuning (PEFT) of Large Language Models (LLMs). LoRA reduces the number…
cs.CV2019★ 8 cited
Translation Insensitive CNNs
Ganesh Sundaramoorthi, Timothy E. Wang
We address the problem that state-of-the-art Convolution Neural Networks (CNN) classifiers are not invariant to small shifts. The problem can be solved by the removal of sub-sampli…
stat.ML2018★ 10 cited
Towards Robust Deep Neural Networks
Timothy E. Wang, Yiming Gu, Dhagash Mehta +2
We investigate the topics of sensitivity and robustness in feedforward and convolutional neural networks. Combining energy landscape techniques developed in computational chemistry…