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

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

19 May 2017
Alex Kendall
Y. Gal
R. Cipolla
    3DH
ArXivPDFHTML

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

50 / 1,293 papers shown
Title
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
G. Andriopoulos
Soyuj Jung Basnet
Juan Guevara
Li Guo
Keith Ross
19
0
0
14 May 2025
MoKD: Multi-Task Optimization for Knowledge Distillation
MoKD: Multi-Task Optimization for Knowledge Distillation
Zeeshan Hayder
A. Cheraghian
Lars Petersson
Mehrtash Harandi
VLM
49
0
0
13 May 2025
Terrain-aware Low Altitude Path Planning
Terrain-aware Low Altitude Path Planning
Yixuan Jia
Andrea Tagliabue
Navid Dadkhah Tehrani
Jonathan P. How
26
0
0
11 May 2025
MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning
MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning
Zixian Zhao
Andrew Howes
Xingchen Zhang
19
0
0
10 May 2025
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
Leveraging Multi-Task Learning for Multi-Label Power System Security Assessment
Muhy Eddin Za'ter
Amir Sajad
B. Hodge
14
0
0
09 May 2025
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles
Camera-Only Bird's Eye View Perception: A Neural Approach to LiDAR-Free Environmental Mapping for Autonomous Vehicles
Anupkumar Bochare
14
0
0
09 May 2025
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators
ADD: Physics-Based Motion Imitation with Adversarial Differential Discriminators
Ziyu Zhang
S. Bashkirov
Dun Yang
Michael Taylor
Xue Bin Peng
38
0
0
08 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu
Song Xia
Siyuan Yang
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex Chichung Kot
46
0
0
08 May 2025
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
Jing Hu
Chengming Feng
Shu Hu
Ming-Ching Chang
Xin Li
Xi Wu
Xin Wang
31
0
0
07 May 2025
Integrated Image Reconstruction and Target Recognition based on Deep Learning Technique
Integrated Image Reconstruction and Target Recognition based on Deep Learning Technique
Cien Zhang
Jiaming Zhang
Jiajun He
Okan Yurduseven
27
0
0
07 May 2025
Efficient 3D Full-Body Motion Generation from Sparse Tracking Inputs with Temporal Windows
Efficient 3D Full-Body Motion Generation from Sparse Tracking Inputs with Temporal Windows
Georgios Fotios Angelis
Savas Ozkan
Sinan Mutlu
Paul Wisbey
Anastasios Drosou
Mete Ozay
3DH
21
0
0
03 May 2025
Multi-level datasets training method in Physics-Informed Neural Networks
Multi-level datasets training method in Physics-Informed Neural Networks
Yao-Hsuan Tsai
Hsiao-Tung Juan
Pao-Hsiung Chiu
Chao-An Lin
AI4CE
39
0
0
30 Apr 2025
Learning Streaming Video Representation via Multitask Training
Learning Streaming Video Representation via Multitask Training
Yibin Yan
Jilan Xu
Shangzhe Di
Yikun Liu
Yudi Shi
Qirui Chen
Zeqian Li
Yifei Huang
Weidi Xie
CLL
84
0
0
28 Apr 2025
TSCL:Multi-party loss Balancing scheme for deep learning Image steganography based on Curriculum learning
TSCL:Multi-party loss Balancing scheme for deep learning Image steganography based on Curriculum learning
Fengchun Liu. Tong Zhang
Chunying Zhang
36
0
0
25 Apr 2025
Locating and Mitigating Gradient Conflicts in Point Cloud Domain Adaptation via Saliency Map Skewness
Locating and Mitigating Gradient Conflicts in Point Cloud Domain Adaptation via Saliency Map Skewness
Jiaqi Tang
Yinsong Xu
Qingchao Chen
3DPC
27
0
0
22 Apr 2025
DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change Detection
DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change Detection
H. Chen
Xin Xu
Fangling Pu
30
0
0
18 Apr 2025
Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval
Learning Compatible Multi-Prize Subnetworks for Asymmetric Retrieval
Yushuai Sun
Zikun Zhou
D. Jiang
Yaowei Wang
Jun Yu
Guangming Lu
Wenjie Pei
29
0
0
16 Apr 2025
AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era
AnimeDL-2M: Million-Scale AI-Generated Anime Image Detection and Localization in Diffusion Era
Chenyang Zhu
Xing Zhang
Yuyang Sun
Ching-Chun Chang
Isao Echizen
24
0
0
15 Apr 2025
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
Zhong-Yu Li
Ruoyi Du
Juncheng Yan
Le Zhuo
Zhen Li
Peng Gao
Zhanyu Ma
Ming-Ming Cheng
VLM
68
2
0
10 Apr 2025
ASRL:A robust loss function with potential for development
ASRL:A robust loss function with potential for development
Chenyu Hui
Anran Zhang
Xintong Li
OOD
47
0
0
09 Apr 2025
IAEmu: Learning Galaxy Intrinsic Alignment Correlations
IAEmu: Learning Galaxy Intrinsic Alignment Correlations
Sneh Pandya
Yuanyuan Yang
N. V. Alfen
Jonathan Blazek
Robin Walters
26
1
0
07 Apr 2025
Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution
Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution
Raffi Khatchadourian
Tatiana Castro Vélez
M. Bagherzadeh
Nan Jia
A. Raja
24
0
0
07 Apr 2025
Energy Weighted Learning Progress Guided Interleaved Multi-Task Learning
Energy Weighted Learning Progress Guided Interleaved Multi-Task Learning
Hanne Say
S. E. Ada
Emre Ugur
Erhan Öztop
CLL
45
0
0
01 Apr 2025
FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment
FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment
Ruisheng Han
Kanglei Zhou
Amir Atapour-Abarghouei
Xiaohui Liang
Hubert P. H. Shum
CML
58
0
0
31 Mar 2025
BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image Segmentation
BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image Segmentation
Rafi Ibn Sultan
Hui Zhu
Chengyin Li
Dongxiao Zhu
50
0
0
30 Mar 2025
BIMII-Net: Brain-Inspired Multi-Iterative Interactive Network for RGB-T Road Scene Semantic Segmentation
BIMII-Net: Brain-Inspired Multi-Iterative Interactive Network for RGB-T Road Scene Semantic Segmentation
Hanshuo Qiu
Jie Jiang
Ruoli Yang
Lixin Zhan
Jizhao Liu
49
0
0
25 Mar 2025
Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval
Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval
Arun V. Reddy
Alexander Martin
Eugene Yang
Andrew Yates
Kate Sanders
Kenton W. Murray
Reno Kriz
Celso M. De Melo
Benjamin Van Durme
Rama Chellappa
48
1
0
24 Mar 2025
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding
Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene Understanding
Jinlong Li
Cristiano Saltori
Fabio Poiesi
N. Sebe
139
0
0
20 Mar 2025
Learning Cascade Ranking as One Network
Yunli Wang
Z. Zhang
Z. Wang
Z. Yang
Y. Li
Jian Yang
Shiyang Wen
Peng Jiang
Kun Gai
49
0
0
13 Mar 2025
Alligat0R: Pre-Training Through Co-Visibility Segmentation for Relative Camera Pose Regression
Thibaut Loiseau
Guillaume Bourmaud
Vincent Lepetit
62
0
0
10 Mar 2025
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages
Hao Xu
Tengfei Xue
Dongnan Liu
Yuqian Chen
Fan Zhang
C. Westin
Ron Kikinis
L. O’Donnell
Weidong Cai
41
0
0
09 Mar 2025
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
Dou Hu
Lingwei Wei
Wei Zhou
Songlin Hu
33
0
0
06 Mar 2025
Continual Optimization with Symmetry Teleportation for Multi-Task Learning
Zhipeng Zhou
Ziqiao Meng
Pengcheng Wu
Peilin Zhao
Chunyan Miao
47
0
0
06 Mar 2025
Variance-Aware Loss Scheduling for Multimodal Alignment in Low-Data Settings
Sneh Pillai
54
0
0
05 Mar 2025
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning
Shijie Zhu
Hui Zhao
Tianshu Wu
Pengjie Wang
Hongbo Deng
Jian Xu
Bo Zheng
48
1
0
05 Mar 2025
From Data to Uncertainty Sets: a Machine Learning Approach
Dimitris Bertsimas
Benjamin Boucher
66
0
0
04 Mar 2025
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization
Aviv Shamsian
E. Shaar
Aviv Navon
Gal Chechik
Ethan Fetaya
MU
58
0
0
04 Mar 2025
A2DO: Adaptive Anti-Degradation Odometry with Deep Multi-Sensor Fusion for Autonomous Navigation
A2DO: Adaptive Anti-Degradation Odometry with Deep Multi-Sensor Fusion for Autonomous Navigation
Hui Lai
Qi Chen
Junping Zhang
Jian Pu
30
0
0
28 Feb 2025
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
Haicheng Liao
Chengyue Wang
Kaiqun Zhu
Yilong Ren
Bolin Gao
Shengbo Eben Li
Chengzhong Xu
Z. Li
64
2
0
27 Feb 2025
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
Yimin Zhu
Linlin Xu
DiffM
55
1
0
27 Feb 2025
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting
Yanhong Li
D. Anastasiu
AI4TS
36
0
0
27 Feb 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain Generalization
Aristotelis Ballas
Christos Diou
OOD
133
0
0
27 Feb 2025
Forecasting Local Ionospheric Parameters Using Transformers
Forecasting Local Ionospheric Parameters Using Transformers
D. J. Alford-Lago
C. Curtis
Alexander T. Ihler
Katherine A. Zawdie
Douglas P. Drob
62
0
0
24 Feb 2025
Structure-preserving contrastive learning for spatial time series
Structure-preserving contrastive learning for spatial time series
Yiru Jiao
S. Cranenburgh
Simeon C. Calvert
H. Lint
AI4TS
87
0
0
10 Feb 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Bruno Ribeiro
Chaim Baskin
Moshe Eliasof
41
0
0
09 Feb 2025
Beyond and Free from Diffusion: Invertible Guided Consistency Training
Chia-Hong Hsu
Shiu-hong Kao
Randall Balestriero
3DV
77
0
0
08 Feb 2025
NextBestPath: Efficient 3D Mapping of Unseen Environments
Shiyao Li
Antoine Guédon
Clémentin Boittiaux
Shizhe Chen
Vincent Lepetit
50
0
0
07 Feb 2025
Density Ratio Estimation with Conditional Probability Paths
Density Ratio Estimation with Conditional Probability Paths
Hanlin Yu
Arto Klami
Aapo Hyvarinen
Anna Korba
Omar Chehab
64
0
0
04 Feb 2025
Beyond Yes or No: Predictive Compliance Monitoring Approaches for Quantifying the Magnitude of Compliance Violations
Beyond Yes or No: Predictive Compliance Monitoring Approaches for Quantifying the Magnitude of Compliance Violations
Qian Chen
Stefanie Rinderle-Ma
Lijie Wen
57
0
0
03 Feb 2025
Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning
Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning
Y. Liu
Zhihao Cui
Liming Li
Junjie You
Xinle Feng
Jianxin Wang
Xiangyu Wang
Qing Liu
Minghua Wu
57
1
0
29 Jan 2025
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