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Multi-Task Learning as Multi-Objective Optimization

10 October 2018

Papers citing "Multi-Task Learning as Multi-Objective Optimization"

50 / 308 papers shown

Title
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 135 280 0 16 Apr 2021
Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen Jixie Ge Heshen Zhan Siteng Huang Donglin Wang 91 119 0 16 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 95 7 0 15 Apr 2021
Panoptic Segmentation Forecasting Colin Graber Grace Tsai Michael Firman Gabriel J. Brostow Alex Schwing 64 12 0 08 Apr 2021
Physics-informed neural networks for the shallow-water equations on the sphere Alexander Bihlo R. Popovych 73 79 0 01 Apr 2021
Vision Transformers for Dense Prediction René Ranftl Alexey Bochkovskiy V. Koltun ViT MDE 158 1,752 0 24 Mar 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 99 60 0 24 Mar 2021
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning Maximilian Schambach Jiayang Shi M. Heizmann 39 1 0 18 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks Alexandre Ramé Rémy Sun Matthieu Cord UQCV 108 60 0 10 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection Ahmed Aldahdooh W. Hamidouche Olivier Déforges AAML 152 29 0 09 Mar 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 106 89 0 03 Mar 2021
Learning Invariant Representations across Domains and Tasks Jindong Wang Wenjie Feng Chang-Shu Liu Chaohui Yu Min Du Renjun Xu Tao Qin Tie-Yan Liu OOD 80 4 0 03 Mar 2021
Locally Free Weight Sharing for Network Width Search Xiu Su Shan You Tao Huang Fei Wang Chao Qian Changshui Zhang Chang Xu 60 40 0 10 Feb 2021
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization T. Deist Monika Grewal F. Dankers Tanja Alderliesten Peter A. N. Bosman 72 19 0 08 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 158 535 0 04 Feb 2021
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction Xiang-Rong Sheng Liqin Zhao Guorui Zhou Xinyao Ding Binding Dai ... Siran Yang Jingshan Lv Chi Zhang Hongbo Deng Xiaoqiang Zhu LRM 102 191 0 27 Jan 2021
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images Lei He Jiwen Lu Guanghui Wang Shiyu Song Jie Zhou 120 71 0 19 Jan 2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction John Phillips Julieta Martinez Ioan Andrei Bârsan Sergio Casas Abbas Sadat R. Urtasun 105 38 0 17 Jan 2021
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 42 0 0 21 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 104 15 0 29 Oct 2020
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection Yin Cao Turab Iqbal Qiuqiang Kong Y. Zhong Wenwu Wang Mark D. Plumbley 71 78 0 25 Oct 2020
Multi-task Supervised Learning via Cross-learning J. Cerviño J. Bazerque Miguel Calvo-Fullana Alejandro Ribeiro 32 2 0 24 Oct 2020
Auxiliary Task Reweighting for Minimum-data Learning Baifeng Shi Judy Hoffman Kate Saenko Trevor Darrell Huijuan Xu MoMe 65 33 0 16 Oct 2020
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 90 221 0 14 Oct 2020
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 133 75 0 13 Oct 2020
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models Zirui Wang Yulia Tsvetkov Orhan Firat Yuan Cao 88 203 0 12 Oct 2020
Multi-path Neural Networks for On-device Multi-domain Visual Classification Qifei Wang Junjie Ke Joshua Greaves Grace Chu Gabriel Bender ... Andrew G. Howard Feng Yang Ming-Hsuan Yang Jeff Gilbert P. Milanfar 73 8 0 10 Oct 2020
Learning the Pareto Front with Hypernetworks Aviv Navon Aviv Shamsian Gal Chechik Ethan Fetaya 121 146 0 08 Oct 2020
Safety Aware Reinforcement Learning (SARL) Santiago Miret Somdeb Majumdar Carroll L. Wainwright 61 1 0 06 Oct 2020
Pareto-Optimal Bit Allocation for Collaborative Intelligence Saeed Ranjbar Alvar Ivan V. Bajić 67 30 0 25 Sep 2020
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog E. Chapuis Pierre Colombo Matteo Manica Matthieu Labeau Chloé Clavel 170 59 0 23 Sep 2020
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context Milena Filipovic B. Mitrevski Diego Antognini Emma Lejal Glaude Boi Faltings C. Musat OffRL 51 11 0 19 Sep 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault Amine Elhattami C. Pal CLL MoE 90 91 0 19 Sep 2020
Parallax Attention for Unsupervised Stereo Correspondence Learning Longguang Wang Yulan Guo Yingqian Wang Zhengfa Liang Zaiping Lin Jungang Yang W. An 3DPC 120 114 0 16 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 220 626 0 10 Sep 2020
Multi-Loss Weighting with Coefficient of Variations R. Groenendijk Sezer Karaoglu Theo Gevers Thomas Mensink 158 55 0 03 Sep 2020
A Survey on Negative Transfer Wen Zhang Lingfei Deng Lei Zhang Dongrui Wu AAML 157 224 0 02 Sep 2020
HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks Sam Verboven M. H. Chaudhary Jeroen Berrevoets Wouter Verbeke 57 7 0 26 Aug 2020
Automated Search for Resource-Efficient Branched Multi-Task Networks David Brüggemann Menelaos Kanakis Stamatios Georgoulis Luc Van Gool 84 65 0 24 Aug 2020
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 76 12 0 22 Aug 2020
Adversarial Training and Provable Robustness: A Tale of Two Objectives Jiameng Fan Wenchao Li AAML 51 21 0 13 Aug 2020
Small Towers Make Big Differences Yuyan Wang Zhe Zhao Bo Dai Christopher Fifty Dong Lin Lichan Hong Ed H. Chi 71 10 0 13 Aug 2020
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain Jonghwa Yim Sang Hwan Kim 23 2 0 05 Aug 2020
Accuracy and Fairness Trade-offs in Machine Learning: A Stochastic Multi-Objective Approach Suyun Liu Luis Nunes Vicente FaML 77 73 0 03 Aug 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference Menelaos Kanakis David Brüggemann Suman Saha Stamatios Georgoulis Anton Obukhov Luc Van Gool CLL 108 72 0 24 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 110 238 0 18 Jul 2020
Follow the bisector: a simple method for multi-objective optimization A. Katrutsa D. Merkulov Nurislam Tursynbek Ivan Oseledets 64 9 0 14 Jul 2020
Multi-Task Variational Information Bottleneck Weizhu Qian Bowei Chen Yichao Zhang Guanghui Wen Franck Gechter 75 11 0 01 Jul 2020
Efficient Continuous Pareto Exploration in Multi-Task Learning Pingchuan Ma Tao Du Wojciech Matusik 71 90 0 29 Jun 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 87 59 0 22 Jun 2020