v1v2 (latest)

Automated Search for Resource-Efficient Branched Multi-Task Networks

24 August 2020

Luc Van Gool

Papers citing "Automated Search for Resource-Efficient Branched Multi-Task Networks"

42 / 42 papers shown

Title
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 95 0 0 12 Jan 2025
Preventing Conflicting Gradients in Neural Marked Temporal Point Processes T. Bosser Souhaib Ben Taieb AI4TS 120 0 0 11 Dec 2024
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning Hoàng-Ân Lê P. Berg Minh Pham 121 1 0 26 Nov 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-Xiong Wang 124 1 0 18 Oct 2024
SGW-based Multi-Task Learning in Vision Tasks Ruiyuan Zhang Yuyao Chen Yuchi Huo Jiaxiang Liu Dianbing Xi Jie Liu Chao Wu 81 1 0 03 Oct 2024
CerberusDet: Unified Multi-Task Object Detection Irina Tolstykh Mikhail Chernyshov Maksim Kuprashevich VLM ObjD 86 0 0 17 Jul 2024
DMTG: One-Shot Differentiable Multi-Task Grouping Yuan Gao Shuguo Jiang Moran Li Jin-Gang Yu Gui-Song Xia 106 2 0 06 Jul 2024
Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learning Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki MoE 65 0 0 05 Jun 2024
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost Yuan Gao Weizhong Zhang Wenhan Luo Lin Ma Jin-Gang Yu Gui-Song Xia Jiayi Ma 75 1 0 09 May 2024
Joint-Task Regularization for Partially Labeled Multi-Task Learning Kento Nishi Junsik Kim Wanhua Li Hanspeter Pfister 107 2 0 02 Apr 2024
Multi-Task Dense Prediction via Mixture of Low-Rank Experts Yuqi Yang Peng-Tao Jiang Qibin Hou Hao Zhang Jinwei Chen Yue Liu MoE 73 20 0 26 Mar 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation S. Landgraf Markus Hillemann Theodor Kapler Markus Ulrich UQCV 65 9 0 16 Feb 2024
Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing Yinqiu Huang Shuli Wang Min Gao Xue Wei Changhao Li Chuan Luo Yinhua Zhu Xiong Xiao Yi Luo 71 3 0 04 Feb 2024
Rethinking of Feature Interaction for Multi-task Learning on Dense Prediction Jingdong Zhang Jiayuan Fan Peng Ye Bo Zhang Hancheng Ye Baopu Li Yancheng Cai Tao Chen 68 3 0 21 Dec 2023
FedHCA $^2$ : Towards Hetero-Client Federated Multi-Task Learning Yuxiang Lu Suizhi Huang Yuwen Yang Shalayiding Sirejiding Yue Ding Hongtao Lu FedML 102 4 0 22 Nov 2023
Data exploitation: multi-task learning of object detection and semantic segmentation on partially annotated data Hoàng-Ân Lê Minh-Tan Pham 62 2 0 07 Nov 2023
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning Arjun Roy C. Koutlis Symeon Papadopoulos Eirini Ntoutsi 68 0 0 20 Oct 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning Yash Garg Nebiyou Yismaw Rakib Hyder Ashley Prater-Bennette M. Salman Asif 58 2 0 09 Oct 2023
Multi-task Learning with 3D-Aware Regularization Weihong Li Jingyu Sun A. Leonardis Hakan Bilen 71 3 0 02 Oct 2023
Self-Training and Multi-Task Learning for Limited Data: Evaluation Study on Object Detection Hoàng-Ân Lê Minh-Tan Pham 109 2 0 12 Sep 2023
Efficient Controllable Multi-Task Architectures Abhishek Aich S. Schulter Amit K. Roy-Chowdhury Manmohan Chandraker Yumin Suh 86 6 0 22 Aug 2023
Prompt Guided Transformer for Multi-Task Dense Prediction Yuxiang Lu Shalayiding Sirejiding Yue Ding Chunlin Wang Hongtao Lu 98 20 0 28 Jul 2023
InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding Hanrong Ye Dan Xu ViT 105 13 0 08 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 117 39 0 06 Jun 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal Naresh Gurulingan Bahram Zonooz Elahe Arani 83 2 0 30 Apr 2023
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation Hanrong Ye Dan Xu 3DV 103 0 0 03 Apr 2023
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning Guangyuan Shi Qimai Li Wenlong Zhang Jiaxin Chen Xiao-Ming Wu 98 36 0 22 Feb 2023
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 136 18 0 08 Dec 2022
Composite Learning for Robust and Effective Dense Predictions Menelaos Kanakis Thomas E. Huang David Brüggemann Feng Yu Luc Van Gool SSL 69 3 0 13 Oct 2022
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search Thanh Tien Vu Yan-Quan Zhou Chun-Yung Wen Yueqi Li Jan-Michael Frahm 81 4 0 04 Oct 2022
Multi-Task Learning with Multi-Query Transformer for Dense Prediction Yangyang Xu Xiangtai Li Haobo Yuan Yibo Yang Lefei Zhang ViT 150 49 0 28 May 2022
Medusa: Universal Feature Learning via Attentional Multitasking Jaime Spencer Richard Bowden Simon Hadfield CLL 77 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 90 28 0 06 Apr 2022
Controllable Dynamic Multi-Task Architectures Dripta S. Raychaudhuri Yumin Suh S. Schulter Xiang Yu M. Faraki Amit K. Roy-Chowdhury Manmohan Chandraker 77 33 0 28 Mar 2022
A Tree-Structured Multi-Task Model Recommender Lijun Zhang Xiao Liu Hui Guan LRM VLM 78 10 0 10 Mar 2022
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 110 41 0 29 Nov 2021
Deep Safe Multi-Task Learning Zhixiong Yue Feiyang Ye Yu Zhang Christy Jie Liang Ivor W. Tsang 38 3 0 20 Nov 2021
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder Joakim Bruslund Haurum Meysam Madadi Sergio Escalera T. Moeslund AI4CE 102 8 0 15 Nov 2021
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning Lijun Zhang Xiao Liu Hui Guan 89 21 0 25 Oct 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 74 58 0 17 May 2021
Exploring Relational Context for Multi-Task Dense Prediction David Brüggemann Menelaos Kanakis Anton Obukhov Stamatios Georgoulis Luc Van Gool 125 77 0 28 Apr 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search Hadjer Benmeziane Kaoutar El Maghraoui Hamza Ouarnoughi Smail Niar Martin Wistuba Naigang Wang 118 108 0 22 Jan 2021