Multi-Task Learning as Multi-Objective Optimization

10 October 2018

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

50 / 195 papers shown

Title
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 33 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
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 27 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 32 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 20 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 30 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 29 64 0 04 Jul 2022
Cross-task Attention Mechanism for Dense Multi-task Learning Ivan Lopes Tuan-Hung Vu Raoul de Charette 14 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 22 1 0 16 Jun 2022
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrián Javaloy Maryam Meghdadi Isabel Valera 19 26 0 09 Jun 2022
Prompt-aligned Gradient for Prompt Tuning Beier Zhu Yulei Niu Yucheng Han Yuehua Wu Hanwang Zhang VLM 183 271 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 20 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 19 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 28 27 0 06 Apr 2022
LibMTL: A Python Library for Multi-Task Learning Baijiong Lin Yu Zhang OffRL AI4CE 25 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 11 4 0 18 Mar 2022
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding Hanrong Ye Dan Xu ViT 21 84 0 15 Mar 2022
Exploring Customer Price Preference and Product Profit Role in Recommender Systems Michal Kompan Péter Gáspár Jakub Macina Matus Cimerman M. Bieliková 16 10 0 13 Mar 2022
A Tree-Structured Multi-Task Model Recommender Lijun Zhang Xiao Liu Hui Guan LRM VLM 24 10 0 10 Mar 2022
On Steering Multi-Annotations per Sample for Multi-Task Learning Yuan Li Yiwen Guo Qizhang Li Hongzhi Zhang W. Zuo 17 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 27 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 M. Izadi Roberta Gismondi Georgios Gousios 21 97 0 14 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 26 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 28 73 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 27 41 0 31 Dec 2021
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 22 75 0 09 Dec 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 42 39 0 29 Nov 2021
Cross-Task Consistency Learning Framework for Multi-Task Learning Akihiro Nakano Shi Chen K. Demachi CVBM 14 3 0 28 Nov 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio Valerii Likhosherstov Anurag Arnab K. Choromanski Mario Lucic Yi Tay Adrian Weller Mostafa Dehghani ViT 35 73 0 25 Nov 2021
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing Xiaoxue Chen Tianyu Liu Hao Zhao Guyue Zhou Ya-Qin Zhang 25 22 0 24 Nov 2021
Self-Regulated Learning for Egocentric Video Activity Anticipation Zhaobo Qi Shuhui Wang Chi Su Li Su Qingming Huang Q. Tian EgoV 39 52 0 23 Nov 2021
Auxiliary Loss Reweighting for Image Inpainting Siqi Hui Sanping Zhou Ye Deng Wenli Huang Jinjun Wang 32 1 0 14 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
Multi-Objective Loss Balancing for Physics-Informed Deep Learning Rafael Bischof M. Kraus PINN AI4CE 33 92 0 19 Oct 2021
Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation Sumanth Chennupati Mohammad Mahdi Kamani Zhongwei Cheng Lin Chen 21 4 0 19 Oct 2021
Speech Representation Learning Through Self-supervised Pretraining And Multi-task Finetuning Yi-Chen Chen Shu-Wen Yang Cheng-Kuang Lee Simon See Hung-yi Lee SSL 16 12 0 18 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
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction Zaixin Zhang Qi Liu Hao Wang Chengqiang Lu Chee-Kong Lee SSL AI4CE 32 249 0 03 Oct 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 20 105 0 22 Sep 2021
Improved optimization strategies for deep Multi-Task Networks Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 29 6 0 21 Sep 2021
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral Lucio Dery Yann N. Dauphin David Grangier MoMe 13 29 0 25 Aug 2021
Principal Gradient Direction and Confidence Reservoir Sampling for Continual Learning Zhiyi Chen Tong Lin CLL 14 1 0 21 Aug 2021
Decomposition Multi-Objective Evolutionary Optimization: From State-of-the-Art to Future Opportunities Ke Li 19 9 0 21 Aug 2021
Controlled Text Generation as Continuous Optimization with Multiple Constraints Sachin Kumar Eric Malmi Aliaksei Severyn Yulia Tsvetkov BDL AI4CE 37 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
Spinning Sequence-to-Sequence Models with Meta-Backdoors Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 35 8 0 22 Jul 2021