Multi Task Learning

March 2, 2023

Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics
Yuhong Deng, Kai Mo, Chongkun Xia, Xueqian Wang
LeArning Abstract Multi Task Learning Deformable Object Deformable Object Manipulation Deformable Object Manipulation Task Graph Dynamic
Artificial Intelligence for Dementia Research Methods Optimization
Magda Bucholc, Charlotte James, Ahmad Al Khleifat, AmanPreet Badhwar, Natasha Clarke, Amir Dehsarvi, Christopher R. Madan, Sarah J. Marzi, Cameron Shand, Brian M. Schilder, Stefano Tamburin, Hanz M. Tantiangco, Ilianna Lourida, David J. Llewellyn, Janice M. Ranson
Machine Learning Artificial Intelligence Machine Learning Model Multi Task Learning Dementia Related Linguistic Anomaly

February 25, 2023

Scalable Attribution of Adversarial Attacks via Multi-Task Learning
Zhongyi Guo, Keji Han, Yao Ge, Wei Ji, Yun Li
Adversarial Attack Adversarial Example Multi Task Learning Multi Task Adversarial Detection

February 24, 2023

Towards multi-task learning of speech and speaker recognition
Nik Vaessen, David A. van Leeuwen
Multi Task Learning Speech Analysis Speaker Recognition Single Task Multi Task Network

February 22, 2023

February 21, 2023

February 20, 2023

Transductive Matrix Completion with Calibration for Multi-Task Learning
Hengfang Wang, Yasi Zhang, Xiaojun Mao, Zhonglei Wang
Multi Task Learning Multi Label Calibration Performance Matrix Completion Multi Task Learning Framework

February 18, 2023

MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning
Caoyun Fan, Wenqing Chen, Jidong Tian, Yitian Li, Hao He, Yaohui Jin
Multi Task Learning Multi Task Single Task Learning Gradient Noise

February 17, 2023

Lip-to-Speech Synthesis in the Wild with Multi-task Learning
Minsu Kim, Joanna Hong, Yong Man Ro
Multi Task Learning Wild Challenge Lip to Speech Synthesis Multimodal Supervision

February 16, 2023

Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
Chengwei Qin, Qian Li, Ruochen Zhao, Shafiq Joty
Multi Task Learning Prompt Tuning Prompt Embeddings Cross Task Generalization Shot Task

February 15, 2023

Multi-Task Differential Privacy Under Distribution Skew
Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Thakurta, Li Zhang
Differential Privacy Multi Task Learning Privacy Budget Task Distribution User Level Differential Privacy Skewed Non IID

February 13, 2023

Less is More: Selective Layer Finetuning with SubTuning
Gal Kaplun, Andrey Gurevich, Tal Swisa, Mazor David, Shai Shalev-Shwartz, Eran Malach
Neural Network Fine Tuning Multi Task Learning Layer Selection Finetuning Method

February 10, 2023

Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System
Jie Zhou, Qian Yu, Chuan Luo, Jing Zhang
Recommender System Multi Task Learning Feature Redundancy Task Specific Feature Negative Transfer Feature Decomposition

February 7, 2023

Multi-Task Recommendations with Reinforcement Learning
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
Reinforcement Learning Multi Task Learning Multi Task

February 6, 2023

GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon
Adversarial Training Adversarial Robustness Multi Task Learning

February 5, 2023

Multi-Task Self-Supervised Learning for Image Segmentation Task
Lichun Gao, Chinmaya Khamesra, Uday Kumbhar, Ashay Aglawe
Semantic Segmentation Self Supervised Multi Task Learning Segmentation Task

January 31, 2023

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning
Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
Multi Task Learning Multi Task Gradient Update Mixed Task Task Gradient

Papers

Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics

Artificial Intelligence for Dementia Research Methods Optimization

Scalable Attribution of Adversarial Attacks via Multi-Task Learning

Towards multi-task learning of speech and speaker recognition

Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition

Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning

Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks

Device Tuning for Multi-Task Large Model

MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis

Transductive Matrix Completion with Calibration for Multi-Task Learning

MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning

Lip-to-Speech Synthesis in the Wild with Multi-task Learning

Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?

Multi-Task Differential Privacy Under Distribution Skew

Less is More: Selective Layer Finetuning with SubTuning

Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System

Multi-Task Recommendations with Reinforcement Learning

GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks

Multi-Task Self-Supervised Learning for Image Segmentation Task

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning