AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

27 November 2019

Papers citing "AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning"

36 / 36 papers shown

Title
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems Rakesh Nadig Vamanan Arulchelvan Rahul Bera Taha Shahroodi Gagandeep Singh Mohammad Sadrosadati Jisung Park O. Mutlu Onur Mutlu 60 0 0 26 Mar 2025
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection Jiaqing Zhang Mingxiang Cao Weiying Xie Jie Lei Daixun Li Wenbo Huang Yunsong Li Xue Yang 48 4 0 28 Jan 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts Wenju Sun Qingyong Li Wen Wang Yangli-ao Geng Boyang Li 36 2 0 28 Jan 2025
The State of Robot Motion Generation Kostas E. Bekris Joe Doerr Patrick Meng Sumanth Tangirala 3DV 34 2 0 16 Oct 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 45 0 0 08 Aug 2024
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model Mingcan Xiang Steven Jiaxun Tang Qizheng Yang Hui Guan Tongping Liu VLM 34 0 0 07 Aug 2024
UnifiedNN: Efficient Neural Network Training on the Cloud Xingyu Lou Arthi Padmanabhan Spyridon Mastorakis FedML 34 0 0 02 Aug 2024
Multi-task Learning for Real-time Autonomous Driving Leveraging Task-adaptive Attention Generator Wonhyeok Choi Mingyu Shin Hyukzae Lee Jaehoon Cho Jaehyeon Park Sunghoon Im 37 1 0 06 Mar 2024
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective Weixia Zhang Guangtao Zhai Ying Wei Xiaokang Yang Kede Ma VLM 27 169 0 27 Mar 2023
Multipath agents for modular multitask ML systems Andrea Gesmundo 18 1 0 06 Feb 2023
Semi-Structured Object Sequence Encoders V. Rudramurthy Riyaz Ahmad Bhat Chulaka Gunasekara Siva Sankalp Patel H. Wan Tejas I. Dhamecha Danish Contractor Marina Danilevsky 59 0 0 03 Jan 2023
Egocentric Video Task Translation Zihui Xue Yale Song Kristen Grauman Lorenzo Torresani EgoV 21 13 0 13 Dec 2022
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data Roei Herzig Ofir Abramovich Elad Ben-Avraham Assaf Arbelle Leonid Karlinsky Ariel Shamir Trevor Darrell Amir Globerson 32 16 0 08 Dec 2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning Enneng Yang Junwei Pan Ximei Wang Haibin Yu Li Shen Xihua Chen Lei Xiao Jie Jiang G. Guo 38 43 0 28 Nov 2022
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search Thanh Vu Yan-Quan Zhou Chun-Yung Wen Yueqi Li Jan-Michael Frahm 20 4 0 04 Oct 2022
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events Mohammad Shiri Jiangwen Sun 11 1 0 24 Sep 2022
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing Naresh Gurulingan Elahe Arani Bahram Zonooz 16 1 0 19 Aug 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 15 2 0 14 Jul 2022
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields Mingtong Zhang Shuhong Zheng Zhipeng Bao M. Hebert Yu-xiong Wang 16 12 0 09 Jun 2022
VALHALLA: Visual Hallucination for Machine Translation Yi Li Rameswar Panda Yoon Kim Chun-Fu Chen Rogerio Feris David D. Cox Nuno Vasconcelos MLLM 36 38 0 31 May 2022
Multi-Task Learning with Multi-Query Transformer for Dense Prediction Yangyang Xu Xiangtai Li Haobo Yuan Yibo Yang Lefei Zhang ViT 15 45 0 28 May 2022
Are Multimodal Transformers Robust to Missing Modality? Mengmeng Ma Jian Ren Long Zhao Davide Testuggine Xi Peng ViT 26 146 0 12 Apr 2022
A Tree-Structured Multi-Task Model Recommender Lijun Zhang Xiao Liu Hui Guan LRM VLM 21 10 0 10 Mar 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 26 75 0 07 Feb 2022
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction Kaiwen Tan Weixian Huang Xiaofeng Liu Jinlong Hu Shoubin Dong 19 42 0 22 Jan 2022
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data Samarth Mishra Rameswar Panda Cheng Perng Phoo Chun-Fu Chen Leonid Karlinsky Kate Saenko Venkatesh Saligrama Rogerio Feris 21 33 0 30 Nov 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning Lijun Zhang Qizheng Yang Xiao Liu Hui Guan OOD 15 14 0 23 Jul 2021
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition Rameswar Panda Chun-Fu Chen Quanfu Fan Ximeng Sun Kate Saenko A. Oliva Rogerio Feris 28 47 0 11 May 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 13 85 0 03 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 32 980 0 03 Mar 2021
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 20 15 0 29 Oct 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 11 174 0 02 Jun 2020
Deep Elastic Networks with Model Selection for Multi-Task Learning Chanho Ahn Eunwoo Kim Songhwai Oh 49 49 0 11 Sep 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 13 502 0 18 May 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 177 524 0 27 Jun 2012