Auto-Lambda: Disentangling Dynamic Task Relationships

7 February 2022

Papers citing "Auto-Lambda: Disentangling Dynamic Task Relationships"

50 / 56 papers shown

Title
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging Wenju Sun Qingyong Li Yangli-ao Geng Boyang Li MoMe 16 0 0 11 May 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 1 0 28 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Victoria Lin Han Zhao Qingfu Zhang James T. Kwok 73 1 0 19 Jan 2025
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries Olivier Graffeuille Yun Sing Koh Joerg Wicker Moritz Lehmann 13 0 0 21 Oct 2024
Towards Generalizable Vision-Language Robotic Manipulation: A Benchmark and LLM-guided 3D Policy Ricardo Garcia Shizhe Chen Cordelia Schmid LM&Ro 28 5 0 02 Oct 2024
Learning Representation for Multitask learning through Self Supervised Auxiliary learning Seokwon Shin Hyungrok Do Youngdoo Son SSL 13 1 0 25 Sep 2024
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity Dongyue Li Aneesh Sharma Hongyang R. Zhang 53 1 0 09 Sep 2024
Can Optimization Trajectories Explain Multi-Task Transfer? David Mueller Mark Dredze Nicholas Andrews 43 1 0 26 Aug 2024
Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius Xuehao Wang Weisen Jiang Shuai Fu Yu Zhang AAML 31 0 0 15 Aug 2024
Efficient Pareto Manifold Learning with Low-Rank Structure Weiyu Chen James T. Kwok 21 6 0 30 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 51 5 0 10 Jul 2024
Redundancy-aware Action Spaces for Robot Learning Pietro Mazzaglia Nicholas Backshall Xiao Ma Stephen James 27 2 0 06 Jun 2024
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Xi Lin Yilu Liu Xiao-Yan Zhang Fei Liu Zhenkun Wang Qingfu Zhang 24 0 0 30 May 2024
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points Zihe Liu Jie Lu Guangquan Zhang Junyu Xuan 27 0 0 23 May 2024
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method Mian Zou Baosheng Yu Yibing Zhan Siwei Lyu Kede Ma CVBM 45 2 0 14 May 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 21 1 0 09 May 2024
GO4Align: Group Optimization for Multi-Task Alignment Jiayi Shen Cheems Wang Zehao Xiao N. V. Noord M. Worring 27 1 0 09 Apr 2024
Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction Jinyuan Feng Min Chen Zhiqiang Pu Tenghai Qiu Jianqiang Yi 16 2 0 09 Apr 2024
SUGAR: Pre-training 3D Visual Representations for Robotics Shizhe Chen Ricardo Garcia Pinel Ivan Laptev Cordelia Schmid 31 13 0 01 Apr 2024
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data Hanrong Ye Dan Xu DiffM 39 4 0 22 Mar 2024
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning Meixuan Li Tianyu Li Guoqing Wang Peng Wang Yang Yang H. Shen 28 0 0 15 Mar 2024
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation Guanxing Lu Shiyi Zhang Ziwei Wang Changliu Liu Jiwen Lu Yansong Tang 41 49 0 13 Mar 2024
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology Omar S. M. El Nahhas Georg Wolflein M. Ligero Tim Lenz M. Treeck Firas Khader Daniel Truhn Jakob Nikolas Kather 19 1 0 06 Mar 2024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin Xiao-Yan Zhang Zhiyuan Yang Fei Liu Zhenkun Wang Qingfu Zhang 22 16 0 29 Feb 2024
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning B. Bejnordi Gaurav Kumar Amelie Royer Christos Louizos Tijmen Blankevoort Mohsen Ghafoorian CVBM 26 0 0 26 Feb 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 24 0 0 23 Feb 2024
Representation Surgery for Multi-Task Model Merging Enneng Yang Li Shen Zhenyi Wang Guibing Guo Xiaojun Chen Xingwei Wang Dacheng Tao MoMe 43 5 0 05 Feb 2024
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual Adapters Jiayou Chao Wei Zhu 24 0 0 01 Jan 2024
Examining Common Paradigms in Multi-Task Learning Cathrin Elich Lukas Kirchdorfer Jan M. Kohler Lukas Schott 22 0 0 08 Nov 2023
PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation Shizhe Chen Ricardo Garcia Pinel Cordelia Schmid Ivan Laptev LM&Ro 3DPC 11 33 0 27 Sep 2023
Self-supervised Hypergraphs for Learning Multiple World Interpretations Alina Marcu Mihai Cristian Pîrvu Dragos Costea Emanuela Haller E. Slusanschi A. Belbachir Rahul Sukthankar Marius Leordeanu SSL 11 4 0 15 Aug 2023
Improvable Gap Balancing for Multi-Task Learning Yanqi Dai Nanyi Fei Zhiwu Lu 25 2 0 28 Jul 2023
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation Théophile Gervet Zhou Xian N. Gkanatsios Katerina Fragkiadaki 38 62 0 30 Jun 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation Tong Zhang Yingdong Hu Hanchen Cui Hang Zhao Yang Gao 57 16 0 18 Jun 2023
FAMO: Fast Adaptive Multitask Optimization B. Liu Yihao Feng Peter Stone Qian Liu 22 26 0 06 Jun 2023
Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs Yi Sun Xin Xu J. Li Xiaochang Hu Yifei Shi L. Zeng 14 2 0 31 May 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding Haoxuan Che Si Chen Haoxing Chen 17 16 0 27 Mar 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective Weixia Zhang Guangtao Zhai Ying Wei Xiaokang Yang Kede Ma VLM 13 167 0 27 Mar 2023
Identification of Negative Transfers in Multitask Learning Using Surrogate Models Dongyue Li Huy Le Nguyen Hongyang R. Zhang 21 12 0 25 Mar 2023
Prismer: A Vision-Language Model with Multi-Task Experts Shikun Liu Linxi Fan Edward Johns Zhiding Yu Chaowei Xiao Anima Anandkumar VLM MLLM 31 21 0 04 Mar 2023
QMP: Q-switch Mixture of Policies for Multi-Task Behavior Sharing Grace Zhang Ayush Jain Injune Hwang Shao-Hua Sun Joseph J. Lim 9 5 0 01 Feb 2023
Auxiliary Learning as an Asymmetric Bargaining Game Aviv Shamsian Aviv Navon Neta Glazer Kenji Kawaguchi Gal Chechik Ethan Fetaya 22 8 0 31 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang Baixu Chen Junwei Pan Ximei Wang Liu Dapeng Jie Jiang Mingsheng Long MoMe 8 19 0 30 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 13 3 0 04 Jan 2023
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? David Mueller Nicholas Andrews Mark Dredze 20 6 0 13 Dec 2022
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images Yu Zheng Fuping Wu Bartlomiej W. Papie.z 11 3 0 12 Dec 2022
Curriculum-based Asymmetric Multi-task Reinforcement Learning H. Huang Deheng Ye Li Shen W. Liu 19 12 0 07 Nov 2022
Instruction-Following Agents with Multimodal Transformer Hao Liu Lisa Lee Kimin Lee Pieter Abbeel LM&Ro 19 10 0 24 Oct 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 9 25 0 18 Oct 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation Mohit Shridhar Lucas Manuelli D. Fox LM&Ro 143 449 0 12 Sep 2022