K for the Price of 1: Parameter-efficient Multi-task and Transfer
Learning

K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning

25 October 2018

Pramod Kaushik Mudrakarta

Andrew G. Howard

Papers citing "K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning"

10 / 10 papers shown

Title
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments Cheng Fang Sicong Liu Zimu Zhou Bin Guo Jiaqi Tang Ke Ma Zhiwen Yu TTA 31 1 0 10 Oct 2024
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation Julio Silva-Rodríguez Jose Dolz Ismail Ben Ayed 66 12 0 29 Mar 2023
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard E. Turner 3DH FedML 38 27 0 17 Jun 2022
Fine-tuning Image Transformers using Learnable Memory Mark Sandler A. Zhmoginov Max Vladymyrov Andrew Jackson ViT 21 47 0 29 Mar 2022
Rethinking Hard-Parameter Sharing in Multi-Domain Learning Lijun Zhang Qizheng Yang Xiao Liu Hui Guan OOD 23 14 0 23 Jul 2021
BasisNet: Two-stage Model Synthesis for Efficient Inference Mingda Zhang Chun-Te Chu A. Zhmoginov Andrew G. Howard Brendan Jou Yukun Zhu Li Zhang R. Hwa Adriana Kovashka 3DH 26 7 0 07 May 2021
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 21 482 0 17 Feb 2020
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 29 8 0 23 May 2019
Attentive Single-Tasking of Multiple Tasks Kevis-Kokitsi Maninis Ilija Radosavovic Iasonas Kokkinos 72 243 0 18 Apr 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017