Branched Multi-Task Networks: Deciding What Layers To Share

5 April 2019

Simon Vandenhende

Stamatios Georgoulis

Bert De Brabandere

Luc Van Gool

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Papers citing "Branched Multi-Task Networks: Deciding What Layers To Share"

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Title
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 62 5 0 28 Jan 2025
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 49 1 0 18 Oct 2024
UnifiedNN: Efficient Neural Network Training on the Cloud Xingyu Lou Arthi Padmanabhan Spyridon Mastorakis FedML 43 0 0 02 Aug 2024
Identifying Spurious Correlations using Counterfactual Alignment Joseph Paul Cohen Louis Blankemeier Akshay S. Chaudhari CML 55 1 0 01 Dec 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives Chuntao Ding Zhichao Lu Shangguang Wang Ran Cheng Vishnu Naresh Boddeti MoMe 11 16 0 03 Aug 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye Dan Xu MoE 42 26 0 28 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Hanrong Ye Dan Xu ViT 29 10 0 08 Jun 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective Weixia Zhang Guangtao Zhai Ying Wei Xiaokang Yang Kede Ma VLM 32 170 0 27 Mar 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić E. Ponti MoMe OOD 32 73 0 22 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
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 39 4 0 04 Oct 2022
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing Naresh Gurulingan Elahe Arani Bahram Zonooz 22 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 20 2 0 14 Jul 2022
Medusa: Universal Feature Learning via Attentional Multitasking Jaime Spencer Richard Bowden Simon Hadfield CLL 28 1 0 12 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
A Tree-Structured Multi-Task Model Recommender Lijun Zhang Xiao Liu Hui Guan LRM VLM 29 10 0 10 Mar 2022
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 45 39 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
Adversarial Robustness in Multi-Task Learning: Promises and Illusions Salah Ghamizi Maxime Cordy Mike Papadakis Yves Le Traon OOD AAML 25 18 0 26 Oct 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans Ainaz Eftekhar Alexander Sax Roman Bachmann Jitendra Malik Amir Zamir MedIm 33 288 0 11 Oct 2021
Federated Contrastive Learning for Decentralized Unlabeled Medical Images Nanqing Dong Irina Voiculescu FedML 16 62 0 15 Sep 2021
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation Suman Saha Anton Obukhov D. Paudel Menelaos Kanakis Yuhua Chen Stamatios Georgoulis Luc Van Gool OOD 39 55 0 17 May 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 21 86 0 03 Mar 2021
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data Nanqing Dong Michael C. Kampffmeyer Xiaodan Liang Min Xu Irina Voiculescu Eric P. Xing 17 18 0 28 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
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 36 608 0 10 Sep 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 30 72 0 24 Jul 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 18 174 0 02 Jun 2020
Multitask Learning with Single Gradient Step Update for Task Balancing Sungjae Lee Youngdoo Son 27 22 0 20 May 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey Simon Vandenhende Stamatios Georgoulis Wouter Van Gansbeke Marc Proesmans Dengxin Dai Luc Van Gool CVBM 24 72 0 28 Apr 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 21 1,165 0 19 Jan 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 184 524 0 27 Jun 2012
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 181 292 0 09 Mar 2009