ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models

no code implementations • 24 Mar 2024 • Zequan Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham

Parameter-efficient fine-tuning (PEFT) is widely studied for its effectiveness and efficiency in the era of large language models.

MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

3 code implementations • 27 Oct 2021 • Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni

We introduce MedMNIST v2, a large-scale MNIST-like dataset collection of standardized biomedical images, including 12 datasets for 2D and 6 datasets for 3D.

AutoML Image Classification

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions

1 code implementation • 12 Jul 2021 • Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister

Electron microscopy (EM) enables the reconstruction of neural circuits at the level of individual synapses, which has been transformative for scientific discoveries.

Instance Segmentation Segmentation +1