Efficiently Identifying Task Groupings for Multi-Task Learning

10 September 2021

Papers citing "Efficiently Identifying Task Groupings for Multi-Task Learning"

49 / 49 papers shown

Title
BoundarySeg:An Embarrassingly Simple Method To Boost Medical Image Segmentation Performance for Low Data Regimes Tushar Kataria Shireen Elhabian 29 0 0 14 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series Tian-Shing Lan Yifei Gao Yimeng Lu Chen Zhang 56 0 0 01 May 2025
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models Shuqi Liu Han Wu Bowei He Xiongwei Han M. Yuan Linqi Song MoMe 60 1 0 20 Feb 2025
Superpose Singular Features for Model Merging Haiquan Qiu You Wu Quanming Yao MoMe 48 0 0 15 Feb 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 56 0 0 22 Jan 2025
Training-free Heterogeneous Model Merging Zhengqi Xu Han Zheng Jie Song Li Sun Mingli Song MoMe 70 1 0 03 Jan 2025
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 64 1 0 21 Oct 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation Cheems Wang Yiqin Lv Yixiu Mao Yun Qu Yi Tian Xu Xiangyang Ji OOD TTA 53 6 0 28 Jul 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs O. Ostapenko Zhan Su E. Ponti Laurent Charlin Nicolas Le Roux Matheus Pereira Lucas Page-Caccia Alessandro Sordoni MoMe 39 31 0 18 May 2024
A safety realignment framework via subspace-oriented model fusion for large language models Xin Yi Shunfan Zheng Linlin Wang Xiaoling Wang Liang He 60 20 0 15 May 2024
Learning to Project for Cross-Task Knowledge Distillation Dylan Auty Roy Miles Benedikt Kolbeinsson K. Mikolajczyk 40 0 0 21 Mar 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 51 6 0 15 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 31 0 0 23 Feb 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models Gantavya Bhatt Yifang Chen Arnav M. Das Jifan Zhang Sang T. Truong ... Jeff Bilmes S. Du Kevin G. Jamieson Jordan T. Ash Robert D. Nowak 39 14 0 12 Jan 2024
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning Yi Xin Junlong Du Qiang Wang Ke Yan Shouhong Ding VLM 36 45 0 14 Dec 2023
Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization Jimmy Li Igor Kozlov Di Wu Xue Liu Gregory Dudek 19 0 0 06 Dec 2023
Multi-label Annotation for Visual Multi-Task Learning Models Gaurang Sharma A. Angleraud R. Pieters 32 0 0 30 Nov 2023
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization Alexandra Chronopoulou Jonas Pfeiffer Joshua Maynez Xinyi Wang Sebastian Ruder Priyanka Agrawal MoMe 24 14 0 15 Nov 2023
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training Mingyang Wang Heike Adel Lukas Lange Jannik Strötgen Hinrich Schütze 25 3 0 23 Oct 2023
Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker Qi Li Ziyi Shen Qian Li D. Barratt T. Dowrick Matthew J. Clarkson Tom Kamiel Magda Vercauteren Yipeng Hu 24 4 0 16 Oct 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 28 0 0 13 Oct 2023
Multi-Task Hypergraphs for Semi-supervised Learning using Earth Observations Mihai Cristian Pîrvu Alina Marcu A. Dobrescu N. Belbachir Marius Leordeanu 16 6 0 21 Aug 2023
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving Junjun Yan Xinhai Chen Zhichao Wang Enqiang Zhou Jie Liu PINN AI4CE 29 1 0 12 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 21 70 0 10 Jul 2023
Multi-Similarity Contrastive Learning Emily Mu John Guttag Maggie Makar SSL 28 2 0 06 Jul 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 24 1 0 07 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 33 30 0 06 Jun 2023
VR.net: A Real-world Dataset for Virtual Reality Motion Sickness Research Elliott Wen Chitralekha Gupta P. Sasikumar Mark Billinghurst James P Wilmott Emily Skow Arindam Dey Suranga Nanayakkara 27 11 0 06 Jun 2023
Addressing Negative Transfer in Diffusion Models Hyojun Go Jinyoung Kim Yunsung Lee Seunghyun Lee Shinhyeok Oh Hyeongdon Moon Seungtaek Choi DiffM VLM 16 24 0 01 Jun 2023
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test Eungbeom Kim Yunkee Chae Jaeheon Sim Kyogu Lee 17 1 0 22 May 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 26 4 0 08 Mar 2023
Relationship Quantification of Image Degradations Wenxin Wang Boyun Li Yuanbiao Gou Peng Hu Wangmeng Zuo Xiaocui Peng 24 5 0 08 Dec 2022
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations Amanpreet Singh Mike DÁrcy Arman Cohan Doug Downey Sergey Feldman 14 79 0 23 Nov 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 16 25 0 18 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
Grouped Adaptive Loss Weighting for Person Search Yanling Tian Di Chen Yunan Liu Shanshan Zhang Jian Yang 36 4 0 23 Sep 2022
Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing Naresh Gurulingan Elahe Arani Bahram Zonooz 22 1 0 19 Aug 2022
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports Arijit Sehanobish M. Sandora Nabila Abraham Jayashri Pawar Danielle Torres Anasuya Das M. Becker Richard Herzog Benjamin Odry Ron Vianu 11 3 0 06 May 2022
Improving Few-Shot Part Segmentation using Coarse Supervision Oindrila Saha Zezhou Cheng Subhransu Maji 18 12 0 11 Apr 2022
M $^2$ BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation Enze Xie Zhiding Yu Daquan Zhou Jonah Philion Anima Anandkumar Sanja Fidler Ping Luo J. Álvarez 30 179 0 11 Apr 2022
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers Zhiqi Li Wenhai Wang Hongyang Li Enze Xie Chonghao Sima Tong Lu Qiao Yu Jifeng Dai 75 1,246 0 31 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He Gengshi Huang Siyu Chen Jianing Teng Wang Kun Zhen-fei Yin Lu Sheng Ziwei Liu Yu Qiao Jing Shao VLM SSL ViT 37 7 0 16 Mar 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 26 75 0 07 Feb 2022
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 21 86 0 03 Mar 2021
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 196 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 184 524 0 27 Jun 2012