Multi Task Learning

October 20, 2023

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning
Arjun Roy, Christos Koutlis, Symeon Papadopoulos, Eirini Ntoutsi
Multi Task Learning Fairness Loss Sentiment Transfer Task Grouping
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes
Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang
Markov Decision Process Multi Task Learning Multi Task Near Optimal Policy Multi Task Reinforcement Learning Provable Benefit

October 19, 2023

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning
Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen
Vision Transformer Autonomous Driving Multi Task Learning Imitation Learning Perception Module RGB D Image Transformer Based Sensor Fusion

October 16, 2023

Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning
Chong Li, Shaonan Wang, Yunhao Zhang, Jiajun Zhang, Chengqing Zong
Multi Task Learning Human Attention Multi Head Attention Machine Translated Multi Task Training Task Specialization

October 13, 2023

October 11, 2023

Denoising Task Routing for Diffusion Models
Byeongjun Park, Sangmin Woo, Hyojun Go, Jin-Young Kim, Changick Kim
Diffusion Model Multi Task Learning Diffusion Training Denoising Network Task Specific Channel

October 8, 2023

Boosting Facial Action Unit Detection Through Jointly Learning Facial Landmark Detection and Domain Separation and Reconstruction
Ziqiao Shang, Li Yu
Multi Task Learning Full State Reconstruction Domain Discriminator Facial Landmark Detection Facial Action Unit Detection Unlabeled Face Facial Feature

October 4, 2023

AdaMerging: Adaptive Model Merging for Multi-Task Learning
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
Multi Task Learning Model Merging

October 3, 2023

Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse
Samuel Lippl, Jack W. Lindsey
Deep Neural Network Fine Tuning Multi Task Learning Inductive Bias Implicit Regularization Chaotic Regime Feature Reuse

October 2, 2023

September 29, 2023

YOLOR-Based Multi-Task Learning
Hung-Shuo Chang, Chien-Yao Wang, Richard Robert Wang, Gene Chou, Hong-Yuan Mark Liao
Semantic Segmentation Multi Task Learning Joint Learning Implicit Knowledge

September 27, 2023

Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization
Bang Giang Le, Viet Cuong Ta
Knowledge Distillation Multi Task Learning Optimal Transport Multi Task Reinforcement Learning

September 25, 2023

Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations
Phanideep Gampa, Farnoosh Javadi, Belhassen Bayar, Ainur Yessenalina
Recommender System Multi Task Learning Popularity Bias User Embeddings Cross Market Recommendation

September 21, 2023

Multi-Task Cooperative Learning via Searching for Flat Minima
Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas Nichols, Bartlomiej W. Papiez
Multi Task Learning Multi Task Medical Image Analysis Flat Minimum Gradient Manipulation

September 20, 2023

September 19, 2023

KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning
Jia Luo Peng, Keng Wei Chang, Shang-Hong Lai
Multi Task Learning Kronecker Product Kinship Verification Self Reported Race Fair Contrastive

September 18, 2023

Task Selection and Assignment for Multi-modal Multi-task Dialogue Act Classification with Non-stationary Multi-armed Bandits
Xiangheng He, Junjie Chen, Björn W. Schuller
Multi Task Learning Task Assignment Dialogue Act Task Selection Non Stationary Multi Armed Bandit

Papers

FairBranch: Mitigating Bias Transfer in Fair Multi-task Learning

Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning

Interpreting and Exploiting Functional Specialization in Multi-Head Attention under Multi-task Learning

Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning

Scalarization for Multi-Task and Multi-Domain Learning at Scale

Denoising Task Routing for Diffusion Models

Boosting Facial Action Unit Detection Through Jointly Learning Facial Landmark Detection and Domain Separation and Reconstruction

AdaMerging: Adaptive Model Merging for Multi-Task Learning

Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse

ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale

Multi-task Learning with 3D-Aware Regularization

YOLOR-Based Multi-Task Learning

Distill Knowledge in Multi-task Reinforcement Learning with Optimal-Transport Regularization

Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations

Multi-Task Cooperative Learning via Searching for Flat Minima

Incorporating Singletons and Mention-based Features in Coreference Resolution via Multi-task Learning for Better Generalization

Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach

KFC: Kinship Verification with Fair Contrastive Loss and Multi-Task Learning

Task Selection and Assignment for Multi-modal Multi-task Dialogue Act Classification with Non-stationary Multi-armed Bandits