Pareto Multi-Task Learning

30 December 2019

Papers citing "Pareto Multi-Task Learning"

35 / 35 papers shown

Title
$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 Lulu Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 96 0 0 20 Feb 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 134 2 0 12 Jan 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 68 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 89 5 0 03 Jan 2025
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 151 1 0 21 Oct 2024
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems Jun Yuan Guohao Cai Zhenhua Dong 98 0 0 08 Oct 2024
Pareto Control Barrier Function for Inner Safe Set Maximization Under Input Constraints Xiaoyang Cao Zhe Fu Alexandre M. Bayen 49 0 0 05 Oct 2024
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications Tom Beucler Arthur Grundner Sara Shamekh Peter Ukkonen Matthew Chantry Ryan Lagerquist 58 0 0 04 Aug 2024
Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems Timo Wilm Philipp Normann Felix Stepprath 78 2 0 23 Jul 2024
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences Nikolaos Dimitriadis Pascal Frossard François Fleuret MoE 144 8 0 10 Jul 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 70 0 0 13 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 64 1 0 20 Mar 2024
Multi-objective Differentiable Neural Architecture Search R. Sukthanker Arber Zela B. Staffler Samuel Dooley Josif Grabocka Frank Hutter 68 1 0 28 Feb 2024
Improving Multi-task Learning via Seeking Task-based Flat Regions Hoang Phan Lam C. Tran Ngoc N. Tran Nhat Ho Tuan Truong Qi Lei Nhat Ho Dinh Q. Phung Trung Le 122 11 0 24 Nov 2022
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 101 31 0 17 Jun 2020
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 82 509 0 18 May 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware Han Cai Ligeng Zhu Song Han 67 1,865 0 02 Dec 2018
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 99 1,266 0 10 Oct 2018
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures Jin-Dong Dong A. Cheng Da-Cheng Juan Wei Wei Min Sun 42 181 0 21 Jun 2018
Learning to Multitask Yu Zhang Ying Wei Qiang Yang 84 53 0 19 May 2018
DeLS-3D: Deep Localization and Segmentation with a 3D Semantic Map Peng Wang Ruigang Yang Binbin Cao Wenyuan Xu Yuanqing Lin 3DPC 63 58 0 13 May 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 179 499 0 24 Apr 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 76 1,209 0 23 Apr 2018
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning Sandeep Subramanian Adam Trischler Yoshua Bengio C. Pal SSL 52 329 0 30 Mar 2018
The ApolloScape Open Dataset for Autonomous Driving and its Application Xinyu Huang Peng Wang Xinjing Cheng Dingfu Zhou Qichuan Geng Ruigang Yang 3DPC 48 561 0 16 Mar 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 95 1,272 0 07 Nov 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 88 4,584 0 26 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 127 8,807 0 25 Aug 2017
Towards Speech Emotion Recognition "in the wild" using Aggregated Corpora and Deep Multi-Task Learning Jaebok Kim G. Englebienne K. Truong V. Evers CVBM 23 86 0 13 Aug 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 93 2,817 0 15 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 181 3,093 0 19 May 2017
Snapshot Ensembles: Train 1, get M for free Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger OOD FedML UQCV 110 938 0 01 Apr 2017
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 31 1,109 0 27 Feb 2017
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos SSeg SSL 105 672 0 07 Sep 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization Daniel Hernández-Lobato José Miguel Hernández-Lobato Amar Shah Ryan P. Adams 90 186 0 17 Nov 2015