Auto-Lambda: Disentangling Dynamic Task Relationships

7 February 2022

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

7 / 57 papers shown

Title
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation Mohit Shridhar Lucas Manuelli D. Fox LM&Ro 163 457 0 12 Sep 2022
Instruction-driven history-aware policies for robotic manipulations Pierre-Louis Guhur Shizhe Chen Ricardo Garcia Pinel Makarand Tapaswi Ivan Laptev Cordelia Schmid LM&Ro 110 102 0 11 Sep 2022
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning Lijun Zhang Xiao Liu Hui Guan 23 21 0 25 Oct 2021
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 213 238 1 10 Sep 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 110 716 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 162 275 0 07 Jul 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017