muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems

22 May 2022

Papers citing "muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems"

8 / 8 papers shown

Title
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention Renrui Zhang Jiaming Han Chris Liu Peng Gao Aojun Zhou Xiangfei Hu Shilin Yan Pan Lu Hongsheng Li Yu Qiao MLLM 74 745 0 28 Mar 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 29 4 0 08 Mar 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 32 73 0 22 Feb 2023
Multipath agents for modular multitask ML systems Andrea Gesmundo 28 1 0 06 Feb 2023
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research J. Bornschein Alexandre Galashov Ross Hemsley Amal Rannen-Triki Yutian Chen ... Angeliki Lazaridou Yee Whye Teh Andrei A. Rusu Razvan Pascanu MarcÁurelio Ranzato OOD VLM AI4TS 39 17 0 15 Nov 2022
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning Dongze Lian Daquan Zhou Jiashi Feng Xinchao Wang 36 249 0 17 Oct 2022
In-situ Model Downloading to Realize Versatile Edge AI in 6G Mobile Networks Kaibin Huang Hai Wu Zhiyan Liu Xiaojuan Qi 13 9 0 07 Oct 2022
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016