Measuring and Harnessing Transference in Multi-Task Learning

29 October 2020

Papers citing "Measuring and Harnessing Transference in Multi-Task Learning"

11 / 11 papers shown

Title
Hacking Task Confounder in Meta-Learning Jingyao Wang Yi Ren Zeen Song Xingzhe Su Changwen Zheng Wenwen Qiang CML 23 8 0 10 Dec 2023
RECKONING: Reasoning through Dynamic Knowledge Encoding Zeming Chen Gail Weiss E. Mitchell Asli Celikyilmaz Antoine Bosselut KELM LRM 21 11 0 10 May 2023
Multi-Task Meta Learning: learn how to adapt to unseen tasks Richa Upadhyay Prakash Chandra Chhipa Ronald Phlypo Rajkumar Saini Marcus Liwicki 27 11 0 13 Oct 2022
A Closer Look at Few-shot Image Generation Yunqing Zhao Henghui Ding Houjing Huang Ngai-man Cheung 24 72 0 08 May 2022
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-man Cheung 28 28 0 27 Oct 2021
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set Mao Ye Qiang Liu 18 9 0 17 Oct 2021
Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess Gregory Clark 25 9 0 05 Oct 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 13 7 0 15 Apr 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 41 47 0 14 Feb 2021
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 193 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 314 11,681 0 09 Mar 2017