Efficiently Identifying Task Groupings for Multi-Task Learning

10 September 2021

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

22 / 22 papers shown

Title
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series Tian-Shing Lan Yifei Gao Yimeng Lu Chen Zhang 36 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 33 1 0 20 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 38 0 0 22 Jan 2025
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 30 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 38 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 19 30 0 18 May 2024
Denoising Task Difficulty-based Curriculum for Training Diffusion Models Jin-Young Kim Hyojun Go Soonwoo Kwon Hyun-Gyoon Kim DiffM 29 6 0 15 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 57 2 0 14 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 16 0 0 23 Feb 2024
Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization Jimmy Li Igor Kozlov Di Wu Xue Liu Gregory Dudek 8 0 0 06 Dec 2023
Multi-label Annotation for Visual Multi-Task Learning Models Gaurang Sharma A. Angleraud R. Pieters 14 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 6 14 0 15 Nov 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 6 3 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 11 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 8 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 9 1 0 12 Jul 2023
Multi-Similarity Contrastive Learning Emily Mu John Guttag Maggie Makar SSL 10 2 0 06 Jul 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 6 1 0 07 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 14 26 0 06 Jun 2023
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 185 495 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 234 11,568 0 09 Mar 2017
Learning Task Grouping and Overlap in Multi-task Learning Abhishek Kumar Hal Daumé 172 523 0 27 Jun 2012