GO4Align: Group Optimization for Multi-Task Alignment

9 April 2024

Papers citing "GO4Align: Group Optimization for Multi-Task Alignment"

39 / 39 papers shown

Title
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 53 11 0 28 Oct 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 79 33 0 06 Jun 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs Yi Sun Xin Xu Jiaqiang Li Xiaochang Hu Yifei Shi L. Zeng 110 2 0 31 May 2023
Independent Component Alignment for Multi-Task Learning Dmitry Senushkin Nikolay Patakin Arseny Kuznetsov Anton Konushin CVBM 71 41 0 30 May 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 64 3 0 04 Jan 2023
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin Behrooz Ghorbani Ankush Garg Orhan Firat Justin Gilmer MoMe 93 65 0 23 Sep 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 78 75 0 07 Feb 2022
Multi-Task Learning as a Bargaining Game Aviv Navon Aviv Shamsian Idan Achituve Haggai Maron Kenji Kawaguchi Gal Chechik Ethan Fetaya 64 145 0 02 Feb 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 64 75 0 11 Jan 2022
Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning Baijiong Lin Feiyang Ye Yu Zhang Ivor W. Tsang 65 95 0 20 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors Jiayi Shen Xiantong Zhen M. Worring Ling Shao 41 28 0 09 Nov 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 66 304 0 26 Oct 2021
Multi-Task Learning in Natural Language Processing: An Overview Shijie Chen Yu Zhang Qiang Yang AIMat 53 104 0 19 Sep 2021
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 264 243 1 10 Sep 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 48 185 0 11 Feb 2021
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen Jiquan Ngiam Yanping Huang Thang Luong Henrik Kretzschmar Yuning Chai Dragomir Anguelov 59 212 0 14 Oct 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault Amine Elhattami C. Pal CLL MoE 38 89 0 19 Sep 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 33 177 0 02 Jun 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 93 1,190 0 19 Jan 2020
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning Ximeng Sun Yikang Shen Rogerio Feris Kate Saenko 47 263 0 27 Nov 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 82 509 0 18 May 2019
Attentive Single-Tasking of Multiple Tasks Kevis-Kokitsi Maninis Ilija Radosavovic Iasonas Kokkinos 153 249 0 18 Apr 2019
Branched Multi-Task Networks: Deciding What Layers To Share Simon Vandenhende Stamatios Georgoulis Bert De Brabandere Luc Van Gool 54 145 0 05 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 153 4,289 0 06 Mar 2019
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 99 1,266 0 10 Oct 2018
End-to-End Multi-Task Learning with Attention Shikun Liu Edward Johns Andrew J. Davison CVBM 46 1,036 0 28 Mar 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 140 1,584 0 05 Feb 2018
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction Yuan Gao Jiayi Ma Mingbo Zhao Wen Liu Alan Yuille 60 252 0 25 Jan 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 95 1,272 0 07 Nov 2017
Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling Mariano Tepper Anirvan M. Sengupta D. Chklovskii 33 2 0 19 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 181 3,093 0 19 May 2017
Adversarial Multi-task Learning for Text Classification Pengfei Liu Xipeng Qiu Xuanjing Huang 79 609 0 19 Apr 2017
Self-Paced Multitask Learning with Shared Knowledge K. Murugesan J. Carbonell 96 32 0 02 Mar 2017
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification Y. Lu Abhishek Kumar Shuangfei Zhai Yu Cheng T. Javidi Rogerio Feris 3DH 37 384 0 16 Nov 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos SSeg SSL 105 672 0 07 Sep 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 64 1,339 0 12 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 591 11,540 0 06 Apr 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 698 15,718 0 02 Nov 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 207 8,351 0 28 Nov 2014