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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 / 1,300 papers shown
Title
Episodic-free Task Selection for Few-shot Learning
Episodic-free Task Selection for Few-shot Learning
Tao Zhang
15
0
0
31 Jan 2024
VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light
  Enhancement and Denoising
VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising
Yuxiang Hui
Yang Liu
Yaofang Liu
Fan Jia
Jinshan Pan
Raymond H. F. Chan
Tieyong Zeng
ViT
40
1
0
26 Jan 2024
Deep multitask neural networks for solving some stochastic optimal
  control problems
Deep multitask neural networks for solving some stochastic optimal control problems
Christian Yeo
33
1
0
23 Jan 2024
Comparing Pre-trained Human Language Models: Is it Better with Human
  Context as Groups, Individual Traits, or Both?
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
Nikita Soni
Niranjan Balasubramanian
H. Andrew Schwartz
Dirk Hovy
41
3
0
23 Jan 2024
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level
  Optimization
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization
Feiyang Ye
Baijiong Lin
Xiao-Qun Cao
Yu Zhang
Ivor Tsang
55
6
0
17 Jan 2024
Multitask Learning in Minimally Invasive Surgical Vision: A Review
Multitask Learning in Minimally Invasive Surgical Vision: A Review
Oluwatosin O. Alabi
Tom Vercauteren
Miaojing Shi
36
3
0
16 Jan 2024
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Collaboratively Self-supervised Video Representation Learning for Action Recognition
Jie Zhang
Zhifan Wan
Lanqing Hu
Stephen Lin
Shuzhe Wu
Shiguang Shan
TTA
67
1
0
15 Jan 2024
UniVision: A Unified Framework for Vision-Centric 3D Perception
UniVision: A Unified Framework for Vision-Centric 3D Perception
Yu Hong
Qian Liu
Huayuan Cheng
Danjiao Ma
Hang Dai
Yu Wang
Guangzhi Cao
Yong Ding
59
7
0
13 Jan 2024
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Self-supervised Learning for Electroencephalogram: A Systematic Survey
Weining Weng
Yang Gu
Shuai Guo
Yuan Ma
Zhaohua Yang
Yuchen Liu
Yiqiang Chen
40
12
0
09 Jan 2024
Multi-scale attention-based instance segmentation for measuring crystals
  with large size variation
Multi-scale attention-based instance segmentation for measuring crystals with large size variation
Theresa Neubauer
Astrid Berg
M. Wimmer
Dimitrios Lenis
David Major
...
Gaia Romana De Paolis
Johannes Novotny
Daniel Lüftner
Katja Reinharter
Katja Bühler
29
2
0
08 Jan 2024
PINN surrogate of Li-ion battery models for parameter inference. Part I:
  Implementation and multi-fidelity hierarchies for the single-particle model
PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
M. Hassanaly
Peter J. Weddle
Ryan N. King
Subhayan De
Alireza Doostan
Corey R. Randall
Eric J. Dufek
Andrew M. Colclasure
Kandler Smith
31
7
0
28 Dec 2023
Efficient Deweather Mixture-of-Experts with Uncertainty-aware
  Feature-wise Linear Modulation
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation
Rongyu Zhang
Yulin Luo
Jiaming Liu
Huanrui Yang
Zhen Dong
...
Tomoyuki Okuno
Yohei Nakata
Kurt Keutzer
Yuan Du
Shanghang Zhang
MoMe
MoE
45
3
0
27 Dec 2023
Curricular and Cyclical Loss for Time Series Learning Strategy
Curricular and Cyclical Loss for Time Series Learning Strategy
Chenxi Sun
Hongyan Li
Moxian Song
D. Cai
linda Qiao
35
1
0
26 Dec 2023
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks
Stefania Bellavia
Francesco Della Santa
Alessandra Papini
46
0
0
26 Dec 2023
DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction
  Downscaling
DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling
Pengwei Liu
Wen-wu Wang
Bingqing Peng
Binqing Wu
Liang Sun
AI4Cl
27
0
0
19 Dec 2023
Continuous Diffusion for Mixed-Type Tabular Data
Continuous Diffusion for Mixed-Type Tabular Data
Markus Mueller
Kathrin Gruber
Dennis Fok
DiffM
64
5
0
16 Dec 2023
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework
  on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous
  Modalities
Achelous++: Power-Oriented Water-Surface Panoptic Perception Framework on Edge Devices based on Vision-Radar Fusion and Pruning of Heterogeneous Modalities
Runwei Guan
Haocheng Zhao
Shanliang Yao
Ka Lok Man
Xiaohui Zhu
...
Yong Yue
Jeremy S. Smith
Eng Gee Lim
Weiping Ding
Yutao Yue
33
4
0
14 Dec 2023
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation
Abdullah Rashwan
Jiageng Zhang
A. Taalimi
Fan Yang
Xingyi Zhou
Chaochao Yan
Liang-Chieh Chen
Yeqing Li
ViT
36
5
0
11 Dec 2023
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains
  Into One
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One
Michael Ranzinger
Greg Heinrich
Jan Kautz
Pavlo Molchanov
VLM
53
42
0
10 Dec 2023
Enhancing the Accuracy of Predictors of Activity Sequences of Business
  Processes
Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes
Muhammad Awais Ali
Marlon Dumas
Fredrik P. Milani
16
0
0
09 Dec 2023
Interactive Reweighting for Mitigating Label Quality Issues
Interactive Reweighting for Mitigating Label Quality Issues
Weikai Yang
Yukai Guo
Jing Wu
Zheng Wang
Lan-Zhe Guo
Yu-Feng Li
Shixia Liu
41
6
0
08 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras
M. Aittala
J. Lehtinen
Janne Hellsten
Timo Aila
S. Laine
61
162
0
05 Dec 2023
Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model
Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model
Yuxia Geng
Jiaoyan Chen
Yuhang Zeng
Zhuo Chen
Wen Zhang
Jeff Z. Pan
Yuxiang Wang
Xiaoliang Xu
47
2
0
04 Dec 2023
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution
ESTformer: Transformer Utilizing Spatiotemporal Dependencies for Electroencaphalogram Super-resolution
Dongdong Li
Zhongliang Zeng
Zhe Wang
Hai Yang
36
0
0
03 Dec 2023
FedHCA$^2$: Towards Hetero-Client Federated Multi-Task Learning
FedHCA2^22: Towards Hetero-Client Federated Multi-Task Learning
Yuxiang Lu
Suizhi Huang
Yuwen Yang
Shalayiding Sirejiding
Yue Ding
Hongtao Lu
FedML
55
3
0
22 Nov 2023
Robust Adversarial Attacks Detection for Deep Learning based Relative
  Pose Estimation for Space Rendezvous
Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous
Ziwei Wang
Nabil Aouf
Jose Pizarro
Christophe Honvault
AAML
26
0
0
10 Nov 2023
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical
  Neural Radiance Fields
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields
Jing Hu
Qinrui Fan
Shu Hu
Siwei Lyu
Xi Wu
Xin Wang
23
11
0
10 Nov 2023
Examining Common Paradigms in Multi-Task Learning
Examining Common Paradigms in Multi-Task Learning
Cathrin Elich
Lukas Kirchdorfer
Jan M. Kohler
Lukas Schott
42
0
0
08 Nov 2023
FFINet: Future Feedback Interaction Network for Motion Forecasting
FFINet: Future Feedback Interaction Network for Motion Forecasting
Miao Kang
Shengqi Wang
Sanping Zhou
Ke Ye
Jingjing Jiang
Nanning Zheng
43
7
0
08 Nov 2023
CeCNN: Copula-enhanced convolutional neural networks in joint prediction
  of refraction error and axial length based on ultra-widefield fundus images
CeCNN: Copula-enhanced convolutional neural networks in joint prediction of refraction error and axial length based on ultra-widefield fundus images
Chong Zhong
Yang Li
Danjuan Yang
Meiyan Li
Xingyao Zhou
Bo Fu
Catherine C. Liu
A. H. Welsh
MedIm
20
2
0
07 Nov 2023
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic
  Scene Understanding
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene Understanding
Shuo Wang
Jing Li
Zibo Zhao
Dongze Lian
Binbin Huang
Xiaomei Wang
Zhengxin Li
Shenghua Gao
48
5
0
06 Nov 2023
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
Zeren Chen
Ziqin Wang
Zhen Wang
Huayang Liu
Zhen-fei Yin
Si Liu
Lu Sheng
Wanli Ouyang
Yu Qiao
Jing Shao
MoE
51
7
0
05 Nov 2023
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA)
  Vessel Segmentation
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation
Can Koz
Onat Dalmaz
Mertay Dayanç
18
0
0
03 Nov 2023
Constructing Temporal Dynamic Knowledge Graphs from Interactive
  Text-based Games
Constructing Temporal Dynamic Knowledge Graphs from Interactive Text-based Games
Keunwoo Peter Yu
AI4CE
57
1
0
03 Nov 2023
ProcSim: Proxy-based Confidence for Robust Similarity Learning
ProcSim: Proxy-based Confidence for Robust Similarity Learning
Oriol Barbany
Xiaofan Lin
Muhammet Bastan
Arnab Dhua
31
2
0
01 Nov 2023
Learning to optimize by multi-gradient for multi-objective optimization
Learning to optimize by multi-gradient for multi-objective optimization
Linxi Yang
Xinmin Yang
L. Tang
23
1
0
01 Nov 2023
Object-centric Video Representation for Long-term Action Anticipation
Object-centric Video Representation for Long-term Action Anticipation
Ce Zhang
Changcheng Fu
Shijie Wang
Nakul Agarwal
Kwonjoon Lee
Chiho Choi
Chen Sun
61
15
0
31 Oct 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Jiayi Shen
Xiantong Zhen
Qi
Qi Wang
M. Worring
32
11
0
28 Oct 2023
From Molecules to Materials: Pre-training Large Generalizable Models for
  Atomic Property Prediction
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
Nima Shoghi
Adeesh Kolluru
John R. Kitchin
Zachary W. Ulissi
C. L. Zitnick
Brandon M. Wood
AI4CE
29
32
0
25 Oct 2023
Robust Representation Learning for Unified Online Top-K Recommendation
Robust Representation Learning for Unified Online Top-K Recommendation
Minfang Lu
Yuchen Jiang
Huihui Dong
Qi Li
Xinhang Li
...
Hao Hu
Ziru Xu
Yuning Jiang
Jian Xu
Bo Zheng
CML
31
0
0
24 Oct 2023
FERI: A Multitask-based Fairness Achieving Algorithm with Applications
  to Fair Organ Transplantation
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
Can Li
Dejian Lai
Xiaoqian Jiang
Kai Zhang
34
4
0
20 Oct 2023
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for
  Cascade Ranking Systems
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems
Yunli Wang
Zhiqiang Wang
Jian Yang
Shiyang Wen
Dongying Kong
Han Li
Kun Gai
37
11
0
16 Oct 2023
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
Geri Skenderi
Luigi Capogrosso
Andrea Toaiari
Matteo Denitto
Franco Fummi
Simone Melzi
Marco Cristani
OOD
41
0
0
13 Oct 2023
Transformer-based Multimodal Change Detection with Multitask Consistency
  Constraints
Transformer-based Multimodal Change Detection with Multitask Consistency Constraints
Biyuan Liu
Huaixin Chen
Kun Li
Michael Ying Yang
43
15
0
13 Oct 2023
Scalarization for Multi-Task and Multi-Domain Learning at Scale
Scalarization for Multi-Task and Multi-Domain Learning at Scale
Amelie Royer
Tijmen Blankevoort
B. Bejnordi
43
17
0
13 Oct 2023
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for
  Intelligent Maritime Surveillance
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance
Jingxiang Qu
Ryan Wen Liu
Chenjie Zhao
Yu Guo
S. Xu
Fenghua Zhu
Yisheng Lv
45
3
0
11 Oct 2023
Denoising Task Routing for Diffusion Models
Denoising Task Routing for Diffusion Models
Byeongjun Park
Sangmin Woo
Hyojun Go
Jin-Young Kim
Changick Kim
DiffM
29
18
0
11 Oct 2023
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Factorized Tensor Networks for Multi-Task and Multi-Domain Learning
Yash Garg
Nebiyou Yismaw
Rakib Hyder
Ashley Prater-Bennette
Ulugbek S. Kamilov
33
2
0
09 Oct 2023
Ammonia-Net: A Multi-task Joint Learning Model for Multi-class
  Segmentation and Classification in Tooth-marked Tongue Diagnosis
Ammonia-Net: A Multi-task Joint Learning Model for Multi-class Segmentation and Classification in Tooth-marked Tongue Diagnosis
Shunkai Shi
Yuqi Wang
Qihui Ye
Yanran Wang
Yiming Zhu
Muhammad Hassan
Melliou Aikaterini
Dongmei Yu
41
2
0
05 Oct 2023
Human-oriented Representation Learning for Robotic Manipulation
Human-oriented Representation Learning for Robotic Manipulation
Mingxiao Huo
Mingyu Ding
Chenfeng Xu
Thomas Tian
Xinghao Zhu
Yao Mu
Lingfeng Sun
Masayoshi Tomizuka
Wei Zhan
SSL
55
12
0
04 Oct 2023
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