Auto-Lambda: Disentangling Dynamic Task Relationships

7 February 2022

Papers citing "Auto-Lambda: Disentangling Dynamic Task Relationships"

6 / 56 papers shown

Title
Instruction-driven history-aware policies for robotic manipulations Pierre-Louis Guhur Shizhe Chen Ricardo Garcia Pinel Makarand Tapaswi Ivan Laptev Cordelia Schmid LM&Ro 91 101 0 11 Sep 2022
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning Lijun Zhang Xiao Liu Hui Guan 12 19 0 25 Oct 2021
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 201 235 1 10 Sep 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 96 714 0 13 Jun 2018
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 159 275 0 07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017