Multi-Task Learning as Multi-Objective Optimization

10 October 2018

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

50 / 240 papers shown

Title
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction Yikai Wang Gang Hua Wenbing Huang Fengxiang He Dacheng Tao 56 29 0 04 Dec 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 47 40 0 29 Nov 2021
Cross-Task Consistency Learning Framework for Multi-Task Learning Akihiro Nakano Shi Chen K. Demachi CVBM 22 3 0 28 Nov 2021
WiFi-based Multi-task Sensing Xie Zhang Chengpei Tang Yasong An Kang Yin 19 3 0 26 Nov 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio Valerii Likhosherstov Anurag Arnab K. Choromanski Mario Lucic Yi Tay Adrian Weller Mostafa Dehghani ViT 35 73 0 25 Nov 2021
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing Xiaoxue Chen Tianyu Liu Hao Zhao Guyue Zhou Ya Zhang 33 22 0 24 Nov 2021
Self-Regulated Learning for Egocentric Video Activity Anticipation Zhaobo Qi Shuhui Wang Chi Su Li Su Qingming Huang Q. Tian EgoV 47 52 0 23 Nov 2021
Auxiliary Loss Reweighting for Image Inpainting Siqi Hui Sanping Zhou Ye Deng Wenli Huang Jinjun Wang 43 1 0 14 Nov 2021
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints Soumyajit Gupta Gurpreet Singh Raghu Bollapragada Matthew Lease 30 4 0 28 Oct 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 47 298 0 26 Oct 2021
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 35 93 0 19 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation Sumanth Chennupati Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen 32 4 0 19 Oct 2021
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning Yi-Chen Chen Shu-Wen Yang Cheng-Kuang Lee Simon See Hung-yi Lee SSL 19 12 0 18 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning Jikun Kang Miao Liu Abhinav Gupta C. Pal Xue Liu Jie Fu 42 4 0 06 Oct 2021
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning Seanie Lee Haebeom Lee Juho Lee Sung Ju Hwang MoMe CLL 53 17 0 06 Oct 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 46 251 0 03 Oct 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 22 106 0 22 Sep 2021
Improved optimization strategies for deep Multi-Task Networks Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 40 6 0 21 Sep 2021
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral Lucio Dery Yann N. Dauphin David Grangier MoMe 21 29 0 25 Aug 2021
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning Zhiyi Chen Tong Lin CLL 26 1 0 21 Aug 2021
Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities Ke Li 19 9 0 21 Aug 2021
Controlled Text Generation as Continuous Optimization with Multiple Constraints Sachin Kumar Eric Malmi Aliaksei Severyn Yulia Tsvetkov BDL AI4CE 43 76 0 04 Aug 2021
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making Debabrata Mahapatra Vaibhav Rajan 33 2 0 02 Aug 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 38 8 0 22 Jul 2021
Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks S. Maddu D. Sturm Christian L. Müller I. Sbalzarini AI4CE 29 81 0 02 Jul 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference Lu Gan Youngji Kim J. Grizzle Jeffrey M. Walls Ayoung Kim Ryan Eustice Maani Ghaffari 32 15 0 28 Jun 2021
Multi-target prediction for dummies using two-branch neural networks Dimitrios Iliadis B. De Baets Willem Waegeman 17 9 0 19 Apr 2021
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 47 271 0 16 Apr 2021
Panoptic Segmentation Forecasting Colin Graber Grace Tsai Michael Firman Gabriel J. Brostow Alex Schwing 41 12 0 08 Apr 2021
Vision Transformers for Dense Prediction René Ranftl Alexey Bochkovskiy V. Koltun ViT MDE 45 1,667 0 24 Mar 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 32 58 0 24 Mar 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 26 86 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 28 3 0 03 Mar 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 16 517 0 04 Feb 2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction John Phillips Julieta Martinez Ioan Andrei Bârsan Sergio Casas Abbas Sadat R. Urtasun 35 36 0 17 Jan 2021
Learn to Bind and Grow Neural Structures Azhar Shaikh Nishant Sinha CLL 21 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 28 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 16 75 0 25 Oct 2020
Auxiliary Task Reweighting for Minimum-data Learning Baifeng Shi Judy Hoffman Kate Saenko Trevor Darrell Huijuan Xu MoMe 27 32 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 41 207 0 14 Oct 2020
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 77 73 0 13 Oct 2020
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models Zirui Wang Yulia Tsvetkov Orhan Firat Yuan Cao 33 196 0 12 Oct 2020
Pareto-Optimal Bit Allocation for Collaborative Intelligence Saeed Ranjbar Alvar Ivan V. Bajić 10 29 0 25 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 32 10 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 30 89 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 31 110 0 16 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 55 609 0 10 Sep 2020
Multiple Classification with Split Learning Jongwon Kim Sungho Shin Yeonguk Yu Junseok Lee Kyoobin Lee FedML 23 12 0 22 Aug 2020
Adversarial Training and Provable Robustness: A Tale of Two Objectives Jiameng Fan Wenchao Li AAML 23 20 0 13 Aug 2020
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain Jonghwa Yim Sang Hwan Kim 21 2 0 05 Aug 2020