Multi-Task Learning as Multi-Objective Optimization

10 October 2018

Papers citing "Multi-Task Learning as Multi-Objective Optimization"

50 / 242 papers shown

Title
Reversible Column Networks Yuxuan Cai Yi Zhou Qi Han Jianjian Sun Xiangwen Kong Jun Yu Li Xiangyu Zhang VLM 31 53 0 22 Dec 2022
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 43 22 0 13 Dec 2022
Vertical Layering of Quantized Neural Networks for Heterogeneous Inference Hai Wu Ruifei He Hao Hao Tan Xiaojuan Qi Kaibin Huang MQ 32 2 0 10 Dec 2022
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy Gihun Lee Sangmook Kim Joonkee Kim Se-Young Yun MedIm 19 18 0 07 Dec 2022
Neural Machine Translation with Contrastive Translation Memories Xin Cheng Shen Gao Lemao Liu Dongyan Zhao Rui Yan 30 15 0 06 Dec 2022
Improving Pareto Front Learning via Multi-Sample Hypernetworks L. P. Hoang Dung D. Le Tuan A. Tran Thang Tran Ngoc 24 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 46 43 0 28 Nov 2022
Multi-Task Learning of Object State Changes from Uncurated Videos Tomávs Souvcek Jean-Baptiste Alayrac Antoine Miech Ivan Laptev Josef Sivic 41 11 0 24 Nov 2022
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training Guoxi Huang A. Bors 27 1 0 23 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 45 9 0 14 Nov 2022
Syntax-Aware On-the-Fly Code Completion Wannita Takerngsaksiri Chakkrit Tantithamthavorn Yuankui Li 52 18 0 09 Nov 2022
Semantic SuperPoint: A Deep Semantic Descriptor Gabriel S. Gama N. D. S. Rosa V. Grassi VLM 16 1 0 02 Nov 2022
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 48 17 0 30 Oct 2022
Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space Zhe Li Man-Wai Mak Helen M. Meng 36 9 0 29 Oct 2022
M $^3$ ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design Hanxue Liang Zhiwen Fan Rishov Sarkar Ziyu Jiang Tianlong Chen Kai Zou Yu Cheng Cong Hao Zhangyang Wang MoE 42 81 0 26 Oct 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning Lingfeng Sun Haichao Zhang Wei Xu Masayoshi Tomizuka MoE 30 37 0 21 Oct 2022
A Pareto-optimal compositional energy-based model for sampling and optimization of protein sequences Natavsa Tagasovska Nathan C. Frey Andreas Loukas I. Hotzel J. Lafrance-Vanasse ... A. Rajpal Richard Bonneau Kyunghyun Cho Stephen Ra Vladimir Gligorijević 18 11 0 19 Oct 2022
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models Nikolaos Dimitriadis P. Frossard Franccois Fleuret 36 25 0 18 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Linear Scalarization for Byzantine-robust learning on non-IID data Latifa Errami El Houcine Bergou AAML 29 0 0 15 Oct 2022
Do Current Multi-Task Optimization Methods in Deep Learning Even Help? Derrick Xin Behrooz Ghorbani Ankush Garg Orhan Firat Justin Gilmer MoMe 75 64 0 23 Sep 2022
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection Eric Enouen Katja Mathesius Sean Wang Arielle K. Carr Sihong Xie 20 2 0 15 Sep 2022
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 33 4 0 09 Aug 2022
UFO: Unified Feature Optimization Teng Xi Yifan Sun Deli Yu Bi Li Nan Peng ... Haocheng Feng Junyu Han Jingtuo Liu Errui Ding Jingdong Wang 34 10 0 21 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network Guimei Cao Zhanzhan Cheng Yunlu Xu Duo Li Shiliang Pu Yi Niu Fei Wu CLL 23 2 0 14 Jul 2022
Beyond Transfer Learning: Co-finetuning for Action Localisation Anurag Arnab Xuehan Xiong A. Gritsenko Rob Romijnders Josip Djolonga Mostafa Dehghani Chen Sun Mario Lucic Cordelia Schmid 38 8 0 08 Jul 2022
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning Zhuo Chen Yufen Huang Jiaoyan Chen Yuxia Geng Wen Zhang Yin Fang Jeff Z. Pan Huajun Chen VLM 31 65 0 04 Jul 2022
Cross-task Attention Mechanism for Dense Multi-task Learning Ivan Lopes Tuan-Hung Vu Raoul de Charette 22 26 0 17 Jun 2022
Switchable Representation Learning Framework with Self-compatibility Shengsen Wu Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Ling-yu Duan 24 1 0 16 Jun 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 32 27 0 09 Jun 2022
(Im)possibility of Collective Intelligence Krikamol Muandet 35 6 0 05 Jun 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 189 274 0 30 May 2022
Constrained Reinforcement Learning for Short Video Recommendation Qingpeng Cai Ruohan Zhan Chi Zhang Jie Zheng Guangwei Ding Pinghua Gong Dong Zheng Peng Jiang 33 6 0 26 May 2022
Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training Guanhong Wang Ke Lu Yang Zhou Zhanhao He Gaoang Wang SSL 32 3 0 27 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 30 27 0 06 Apr 2022
LibMTL: A Python Library for Multi-Task Learning Baijiong Lin Yu Zhang OffRL AI4CE 30 37 0 27 Mar 2022
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty Hannes Eriksson D. Basu Mina Alibeigi Christos Dimitrakakis 16 4 0 18 Mar 2022
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding Hanrong Ye Dan Xu ViT 28 84 0 15 Mar 2022
Exploring Customer Price Preference and Product Profit Role in Recommender Systems Michal Kompan Péter Gáspár Jakub Macina Matus Cimerman Maria Bielikova 37 10 0 13 Mar 2022
A Tree-Structured Multi-Task Model Recommender Lijun Zhang Xiao Liu Hui Guan LRM VLM 39 10 0 10 Mar 2022
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction Xiaoqi Zhao Youwei Pang Lihe Zhang Huchuan Lu 29 21 0 09 Mar 2022
On Steering Multi-Annotations per Sample for Multi-Task Learning Yuan Li Yiwen Guo Qizhang Li Hongzhi Zhang W. Zuo 25 0 0 06 Mar 2022
Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP Ishaan Mehta Sharareh Taghipour Sajad Saeedi 27 4 0 02 Mar 2022
Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study Dushyant Sahoo Mathilde Antoniades C. H. Fu Christos Davatzikos 32 1 0 22 Feb 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images Hongzhi Zhu R. Rohling Septimiu Salcudean 19 4 0 15 Feb 2022
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences Maliheh Izadi Roberta Gismondi Georgios Gousios 23 99 0 14 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 42 75 0 07 Feb 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 41 74 0 11 Jan 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments A. Iyer Karan Grewal Akash Velu Lucas O. Souza Jérémy Forest Subutai Ahmad AI4CE 35 42 0 31 Dec 2021
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 33 78 0 09 Dec 2021