Auxiliary Tasks in Multi-task Learning

16 May 2018

Papers citing "Auxiliary Tasks in Multi-task Learning"

34 / 34 papers shown

Title
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations Abdolmehdi Behroozi Chaopeng Shen and Daniel Kifer AI4CE 27 0 0 13 May 2025
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining Weizhen He Yunfeng Yan Shixiang Tang Yiheng Deng Yangyang Zhong Pengxin Luo Donglian Qi VLM 94 1 0 29 Apr 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion Dong Zhang Kwang-Ting Cheng MedIm 22 0 0 03 Jan 2025
Training Strategies for Isolated Sign Language Recognition Karina Kvanchiani Roman Kraynov Elizaveta Petrova Petr Surovcev Aleksandr Nagaev A. Kapitanov 84 1 0 16 Dec 2024
Enhanced Object Tracking by Self-Supervised Auxiliary Depth Estimation Learning Zhenyu Wei Yujie He Zhanchuan Cai MDE 50 0 0 23 May 2024
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification Quanwei Liu Yanni Dong Tao Huang Lefei Zhang Bo Du VLM 39 1 0 02 Apr 2024
A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection Chao Hao Zitong Yu Xin Liu Jun Xu Huanjing Yue Jingyu Yang ViT 35 6 0 29 Feb 2024
Uncertainty-Aware Explainable Recommendation with Large Language Models Yicui Peng Hao Chen C. Lin Guo Huang Jinrong Hu Hui Guo Bin Kong Shu Hu Xi Wu Xin Wang LRM 58 8 0 31 Jan 2024
WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification Haitao Gan Lingchao Fu Ran Zhou Weiyan Gan Furong Wang Xiaoyan Wu Zhi Yang Zhongwei Huang 38 2 0 25 Jan 2024
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning Geri Skenderi Luigi Capogrosso Andrea Toaiari Matteo Denitto Franco Fummi Simone Melzi Marco Cristani OOD 36 0 0 13 Oct 2023
Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning Joel Ong Dorien Herremans AI4TS 24 6 0 08 Jun 2023
Exploring the Relationship between Alignment and Cross-lingual Transfer in Multilingual Transformers Félix Gaschi Patricio Cerda Parisa Rastin Y. Toussaint 22 9 0 05 Jun 2023
Generating Evidential BEV Maps in Continuous Driving Space Yunshuang Yuan Hao Cheng M. Yang Monika Sester 36 10 0 06 Feb 2023
Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification Kwangje Baeg Yeong-Gwan Kim Youngsub Han Byoung-Ki Jeon 24 0 0 22 Jan 2023
PanDepth: Joint Panoptic Segmentation and Depth Completion J. Lagos Esa Rahtu 3DPC VLM 30 1 0 29 Dec 2022
Multimodal Transformer Distillation for Audio-Visual Synchronization Xuan-Bo Chen Haibin Wu Chung-Che Wang Hung-yi Lee J. Jang 26 3 0 27 Oct 2022
Self-Supervised Attention Networks and Uncertainty Loss Weighting for Multi-Task Emotion Recognition on Vocal Bursts Vincent Karas Andreas Triantafyllopoulos Meishu Song Björn W. Schuller 38 4 0 15 Sep 2022
AutoPET Challenge 2022: Step-by-Step Lesion Segmentation in Whole-body FDG-PET/CT Zhantao Liu S. Zhong Junyang Mo MedIm 31 3 0 04 Sep 2022
SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion J. Lagos Esa Rahtu VLM 3DV 25 5 0 01 Sep 2022
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression Felix Ott N. Raichur David Rügamer Tobias Feigl Heiko Neumann Bernd Bischl Christopher Mutschler 31 1 0 01 Aug 2022
Redundancy Reduction Twins Network: A Training framework for Multi-output Emotion Regression Xin Jing Meishu Song Andreas Triantafyllopoulos Zijiang Yang Björn W. Schuller 21 8 0 18 Jun 2022
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curation Qingyu Chen Jingcheng Du Alexis Allot Zhiyong Lu 18 25 0 19 Apr 2022
Factored Adaptation for Non-Stationary Reinforcement Learning Fan Feng Erdun Gao Kun Zhang Sara Magliacane CML OffRL 45 32 0 30 Mar 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
A Multi-modal Fusion Framework Based on Multi-task Correlation Learning for Cancer Prognosis Prediction Kaiwen Tan Weixian Huang Xiaofeng Liu Jinlong Hu Shoubin Dong 19 42 0 22 Jan 2022
MTCD: Cataract Detection via Near Infrared Eye Images Pavani Tripathi Yasmeena Akhter Mahapara Khurshid Aditya Lakra Rohit Keshari Mayank Vatsa Richa Singh 23 16 0 06 Oct 2021
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction Hao Xue Flora D. Salim Yongli Ren Nuria Oliver 17 67 0 30 Sep 2021
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 32 2 0 09 Sep 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 22 159 0 09 Feb 2021
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships Xiaobai Ma Jiachen Li Mykel J. Kochenderfer David Isele K. Fujimura 15 61 0 09 Nov 2020
Hybrid Models for Learning to Branch Prateek Gupta Maxime Gasse Elias Boutros Khalil M. P. Kumar Andrea Lodi Yoshua Bengio GNN 22 123 0 26 Jun 2020
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification Lukas Liebel Marco Körner 3DH 44 25 0 25 Jul 2019
Learning Discriminative features using Center Loss and Reconstruction as Regularizer for Speech Emotion Recognition Suraj Tripathi A. Ramesh Abhay Kumar Chirag Singh Promod Yenigalla CVBM 14 8 0 19 Jun 2019
CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis Ahti Kalervo Juha Ylioinas Markus Häikiö Antti Karhu Arno Solin 3DV 22 95 0 03 Apr 2019