Pareto Multi-Task Learning

30 December 2019

Papers citing "Pareto Multi-Task Learning"

50 / 58 papers shown

Title
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
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1) Jing Bi Susan Liang Xiaofei Zhou Pinxin Liu Junjia Guo ... C. Chen Lianggong Wen Zhang Liu Jiebo Luo Chenliang Xu LRM 32 0 0 04 Apr 2025
$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$ Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization Xiaohua Feng Chao-Jun Chen Yuyuan Li L. Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 73 0 0 20 Feb 2025
MTPareto: A MultiModal Targeted Pareto Framework for Fake News Detection Kaiying Yan Moyang Liu Yukun Liu Ruibo Fu Zhengqi Wen J. Tao Xuefei Liu Guanjun Li 36 0 0 12 Jan 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie Jun Xu 63 5 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
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems Jun Yuan Guohao Cai Zhenhua Dong 23 0 0 08 Oct 2024
Pareto Control Barrier Function for Inner Safe Set Maximization Under Input Constraints Xiaoyang Cao Zhe Fu Alexandre M. Bayen 28 0 0 05 Oct 2024
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments Angie Boggust Venkatesh Sivaraman Yannick Assogba Donghao Ren Dominik Moritz Fred Hohman VLM 50 3 0 06 Aug 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications Tom Beucler Arthur Grundner Sara Shamekh Peter Ukkonen Matthew Chantry Ryan Lagerquist 43 0 0 04 Aug 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction Yuan Xue Nan Du A. Mottram Martin G. Seneviratne Andrew M. Dai AI4TS 23 0 0 28 Jul 2024
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems Timo Wilm Philipp Normann Felix Stepprath 23 2 0 23 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard F. Fleuret MoE 61 6 0 10 Jul 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 52 0 0 13 Jun 2024
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation Lu Li T. Zhang Zhiqi Bu Suyuchen Wang Huan He Jie Fu Yonghui Wu Jiang Bian Yong Chen Yoshua Bengio FedML MoMe 94 3 0 11 Jun 2024
M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling Xudong Sun Nutan Chen Alexej Gossmann Yu Xing Carla Feistner ... Felix Drost Daniele Scarcella Lisa Beer Carsten Marr Carsten Marr 59 1 0 20 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought Distillation Xin Chen Hanxian Huang Yanjun Gao Yi Wang Jishen Zhao Ke Ding 35 11 0 05 Mar 2024
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 40 1 0 28 Feb 2024
MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization Yasaman Jafari Dheeraj Mekala Rose Yu Taylor Berg-Kirkpatrick 53 7 0 18 Feb 2024
Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning Nguyen Anh Minh L. Muu Tran Ngoc Thang 21 0 0 09 Feb 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement Dayou Mao Yuhao Chen Yifan Wu Maximilian Gilles Alexander Wong AAML 35 0 0 05 Feb 2024
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints Tran Anh Tuan Nguyen Viet Dung Tran Ngoc Thang 31 3 0 04 Feb 2024
When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges Wang Chao Jiaxuan Zhao Licheng Jiao Lingling Li Fang Liu Shuyuan Yang 64 13 0 19 Jan 2024
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow Yinuo Ren Tesi Xiao Tanmay Gangwani A. Rangi Holakou Rahmanian Lexing Ying Subhajit Sanyal 25 2 0 22 Nov 2023
On the Pareto Front of Multilingual Neural Machine Translation Liang Chen Shuming Ma Dongdong Zhang Furu Wei Baobao Chang MoE 20 5 0 06 Apr 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective Weixia Zhang Guangtao Zhai Ying Wei Xiaokang Yang Kede Ma VLM 27 169 0 27 Mar 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Xu Liu F. Liu Shuyuan Yang 29 5 0 06 Feb 2023
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student Ensemble Xiaoye Qu Jun Zeng Daizong Liu Zhefeng Wang Baoxing Huai Pan Zhou 24 22 0 13 Dec 2022
Improving Pareto Front Learning via Multi-Sample Hypernetworks L. P. Hoang Dung D. Le Tuan A. Tran Thang Tran Ngoc 8 24 0 02 Dec 2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning Enneng Yang Junwei Pan Ximei Wang Haibin Yu Li Shen Xihua Chen Lei Xiao Jie Jiang G. Guo 38 43 0 28 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
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 29 54 0 16 Oct 2022
Linear Scalarization for Byzantine-robust learning on non-IID data Latifa Errami El Houcine Bergou AAML 16 0 0 15 Oct 2022
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection Eric Enouen Katja Mathesius Sean Wang Arielle K. Carr Sihong Xie 18 2 0 15 Sep 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
SummaReranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization Mathieu Ravaut Shafiq R. Joty Nancy F. Chen MoE 10 91 0 13 Mar 2022
Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study Dushyant Sahoo Mathilde Antoniades C. H. Fu Christos Davatzikos 27 1 0 22 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 26 75 0 07 Feb 2022
Pareto Domain Adaptation Fangrui Lv Jian Liang Kaixiong Gong Shuang Li Chi Harold Liu Han Li Di Liu Guoren Wang 13 31 0 08 Dec 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 39 39 0 29 Nov 2021
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 36 19 0 26 Nov 2021
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness Ke Sun Mingjie Li Zhouchen Lin AAML 19 2 0 03 Nov 2021
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints Soumyajit Gupta Gurpreet Singh Raghu Bollapragada Matthew Lease 30 4 0 28 Oct 2021
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 33 297 0 26 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation Sumanth Chennupati Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen 19 4 0 19 Oct 2021
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning Seanie Lee Haebeom Lee Juho Lee S. Hwang MoMe CLL 38 16 0 06 Oct 2021
Improved optimization strategies for deep Multi-Task Networks Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 27 6 0 21 Sep 2021
Controlled Text Generation as Continuous Optimization with Multiple Constraints Sachin Kumar Eric Malmi Aliaksei Severyn Yulia Tsvetkov BDL AI4CE 32 76 0 04 Aug 2021
Exact Pareto Optimal Search for Multi-Task Learning and Multi-Criteria Decision-Making Debabrata Mahapatra Vaibhav Rajan 25 2 0 02 Aug 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 13 36 0 10 Jun 2021