Recon: Reducing Conflicting Gradients from the Root for Multi-Task
Learning

Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning

22 February 2023

Xiao-Ming Wu

Papers citing "Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning"

7 / 7 papers shown

Title
Understanding Layer Significance in LLM Alignment Guangyuan Shi Zexin Lu Xiaoyu Dong Wenlong Zhang Xuanyu Zhang Yujie Feng Xiao-Ming Wu 41 2 0 23 Oct 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 24 0 0 23 Feb 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 48 121 0 17 Jan 2024
Gradient Surgery for One-shot Unlearning on Generative Model Seohui Bae Seoyoon Kim Hyemin Jung Woohyung Lim BDL MU 11 8 0 10 Jul 2023
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
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
Indoor Semantic Segmentation using depth information Camille Couprie C. Farabet Laurent Najman Yann LeCun SSeg MDE 56 473 0 16 Jan 2013