Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

19 May 2017

Alex Kendall

Papers citing "Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics"

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E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection Jiaqing Zhang Mingxiang Cao Weiying Xie Jie Lei Daixun Li Wenbo Huang Yunsong Li Xue Yang 48 4 0 28 Jan 2025
Towards Robust Unsupervised Attention Prediction in Autonomous Driving Mengshi Qi Xiaoyang Bi Pengfei Zhu Huadong Ma 50 0 0 25 Jan 2025
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks Alessio Quercia Erenus Yildiz Zhuo Cao Kai Krajsek Abigail Morrison Ira Assent Hanno Scharr 51 0 0 22 Jan 2025
Distributed Multi-Head Learning Systems for Power Consumption Prediction Jia-Hao Syu Jerry Chun-Wei Lin Philip S. Yu 26 1 0 21 Jan 2025
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki 35 0 0 21 Jan 2025
Challenge Summary U-MedSAM: Uncertainty-aware MedSAM for Medical Image Segmentation Xin Wang Xiaoyu Liu Peng Huang Pu Huang Shu Hu Hongtu Zhu UQCV 74 1 0 20 Jan 2025
Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond Weiyu Chen Xiaoyuan Zhang Baijiong Lin Xi Victoria Lin Han Zhao Qingfu Zhang James T. Kwok 75 2 0 19 Jan 2025
U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection Jiaee Cheong Aditya Bangar Sinan Kalkan Hatice Gunes 89 2 0 17 Jan 2025
Dataset Distillation via Committee Voting Jiacheng Cui Zhaoyi Li Xiaochen Ma Xinyue Bi Yaxin Luo Zhiqiang Shen DD FedML 49 1 0 13 Jan 2025
Code and Pixels: Multi-Modal Contrastive Pre-training for Enhanced Tabular Data Analysis Kankana Roy Lars Krämer Sebastian Domaschke Malik Haris Roland Aydin Fabian Isensee Martin Held 43 0 0 13 Jan 2025
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning Hanwen Zhong Jiaxin Chen Yutong Zhang Di Huang Yunhong Wang MoE 42 0 0 12 Jan 2025
Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu Yu-Chang Wu Xiaobin Huang Chengrui Gao Ren-Jian Wang Ke Xue Chao Qian OffRL 42 2 0 12 Jan 2025
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection Yan Lu Xinzhu Ma Lei Yang Tianzhu Zhang Yating Liu Qi Chu Tong He Yonghui Li W. Ouyang 61 3 0 08 Jan 2025
SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection Y. Li X. Li Yunheng Li Y. Zhang Yimian Dai Qibin Hou Ming-Ming Cheng Jian Yang 26 6 0 31 Dec 2024
Impact of Evidence Theory Uncertainty on Training Object Detection Models M. T. Ibrahim Rifshu Hussain Shaik Andreas Schwung UQCV 30 0 0 23 Dec 2024
Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networks Chong Zheng Shiwen He Yongming Huang Tony Q. S. Quek 69 0 0 21 Dec 2024
$$\texttt{DINO-Foresight}$: Looking into the Future with DINO$ $\texttt{DINO-Foresight}$ : Looking into the Future with DINO Efstathios Karypidis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis AI4CE 82 1 0 16 Dec 2024
NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical Text Prajwal Kailas Max Homilius Rahul C. Deo Calum A. MacRae 97 0 0 16 Dec 2024
A Flexible Plug-and-Play Module for Generating Variable-Length Liyang He Yuren Zhang Rui Li Zhenya Huang Runze Wu Enhong Chen 70 0 0 12 Dec 2024
Preventing Conflicting Gradients in Neural Marked Temporal Point Processes T. Bosser Souhaib Ben Taieb AI4TS 69 0 0 11 Dec 2024
Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions Qiang Qu Xiaoming Chen Vera Chung Zhibo Chen 64 28 0 10 Dec 2024
Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation Francis Xiatian Zhang Jingjing Deng Robert Lieck Hubert P. H. Shum 62 1 0 09 Dec 2024
A Self-Learning Multimodal Approach for Fake News Detection Hao Chen Hui Guo Baochen Hu Shu Hu Jinrong Hu Siwei Lyu Xi Wu X. Wang 80 2 0 08 Dec 2024
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization Maxime Fontana Michael W. Spratling Miaojing Shi MoE VLM 64 0 0 04 Dec 2024
Diffusion-based Visual Anagram as Multi-task Learning Zhiyuan Xu Yinhe Chen Huan-ang Gao Weiyan Zhao Guiyu Zhang Hao Zhao DiffM 73 5 0 03 Dec 2024
Data Uncertainty-Aware Learning for Multimodal Aspect-based Sentiment Analysis Hao-Yu Yang Zhenyu Zhang Yanyan Zhao Bing Qin 69 0 0 02 Dec 2024
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu AI4TS 64 0 0 01 Dec 2024
Multi-task CNN Behavioral Embedding Model For Transaction Fraud Detection Bo Qu Zhurong Wang Minghao Gu Daisuke Yagi Yang Zhao Yinan Shan Frank Zahradnik 85 2 0 29 Nov 2024
ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel Realities Venkata Satya Sai Ajay Daliparthi 67 0 0 28 Nov 2024
SP ${ }^3$ : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation Shiman Li Jiayue Zhao Shaolei Liu Xiaokun Dai Chenxi Zhang Zhijian Song 78 0 0 18 Nov 2024
Dual-Head Knowledge Distillation: Enhancing Logits Utilization with an Auxiliary Head Penghui Yang Chen-Chen Zong Sheng-Jun Huang Lei Feng Bo An 30 1 0 13 Nov 2024
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning Tao Liu Wu Yang Chen Xu Jiguang Lv Huanran Wang Yuhang Zhang Shuchun Xu Dapeng Man AAML FedML 28 0 0 06 Nov 2024
Deploying Multi-task Online Server with Large Language Model Yincen Qu Chao Ma Xiangying Dai Hui Zhou Yiting Wu Hengyue Liu 26 0 0 06 Nov 2024
Advancing Robust Underwater Acoustic Target Recognition through Multi-task Learning and Multi-Gate Mixture-of-Experts Yuan Xie Jiawei Ren Junfeng Li Ji Xu 38 1 0 05 Nov 2024
Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object Detection Yifan Wang X. Yang Fanqi Pu Q. Liao Wenming Yang 36 0 0 05 Nov 2024
Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images Kun Huang Fang-Lue Zhang Fangfang Zhang Yu-Kun Lai Paul L. Rosin N. Dodgson 32 0 0 04 Nov 2024
Network scaling and scale-driven loss balancing for intelligent poroelastography Yang Xu Fatemeh Pourahmadian AI4CE 30 0 0 27 Oct 2024
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context Maximilian Augustin Syed Shakib Sarwar Mostafa Elhoushi Sai Qian Zhang Yuecheng Li B. D. Salvo 23 0 0 23 Oct 2024
Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue Longxuan Ma Jiapeng Li Mingda Li W. Zhang Ting Liu 30 1 0 21 Oct 2024
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries Olivier Graffeuille Yun Sing Koh Joerg Wicker Moritz Lehmann 21 0 0 21 Oct 2024
Modelling Concurrent RTP Flows for End-to-end Predictions of QoS in Real Time Communications Tailai Song Paolo Garza Michela Meo Maurizio Matteo Munafò 31 1 0 21 Oct 2024
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery Enneng Yang Li Shen Zhenyi Wang G. Guo Xingwei Wang Xiaocun Cao Jie Zhang Dacheng Tao MoMe 37 4 0 18 Oct 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning Yuxiang Lu Shengcao Cao Yu-xiong Wang 45 1 0 18 Oct 2024
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification Zeren Shui Petros Karypis Daniel S. Karls Mingjian Wen Saurav Manchanda E. Tadmor George Karypis 24 0 0 17 Oct 2024
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints Selina Khan Nanne van Noord 38 4 0 16 Oct 2024
radarODE-MTL: A Multi-Task Learning Framework with Eccentric Gradient Alignment for Robust Radar-Based ECG Reconstruction Y. Zhang Rui Yang Yutao Yue Eng Gee Lim 31 1 0 11 Oct 2024
Simple ReFlow: Improved Techniques for Fast Flow Models Beomsu Kim Yu-Guan Hsieh Michal Klein Marco Cuturi Jong Chul Ye Bahjat Kawar James Thornton VLM 28 7 0 10 Oct 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models Zi Gong Hang Yu Cong Liao Bingchang Liu Chaoyu Chen Jianguo Li MoMe 21 4 0 09 Oct 2024
QuadBEV: An Efficient Quadruple-Task Perception Framework via Bird's-Eye-View Representation Yuxin Li Yiheng Li Xulei Yang Mengying Yu Zihang Huang Xiaojun Wu Chai Kiat Yeo 31 0 0 09 Oct 2024
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning Qianli Ma Xuefei Ning Dongrui Liu Li Niu Linfeng Zhang MoMe 44 0 0 09 Oct 2024