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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Title
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare Devansh Saxena Erin Moon Aryan Chaurasia Yixin Guan Shion Guha 36 26 0 16 Feb 2023
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes Shenghao Hao Peiyuan Liu Yibing Zhan Kaixun Jin Zuozhu Liu Min-Gyoo Song Lei Li Gaoang Wang 31 25 0 15 Feb 2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection Soumyajit Gupta Sooyong Lee Maria De-Arteaga Matthew Lease 32 13 0 14 Feb 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 42 50 0 13 Feb 2023
Multipath agents for modular multitask ML systems Andrea Gesmundo 33 1 0 06 Feb 2023
Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature T. He Haoyan Huo Christopher J. Bartel Zheren Wang Kevin Cruse Gerbrand Ceder 38 32 0 05 Feb 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling Jiaxiang Dong Haixu Wu Haoran Zhang Li Zhang Jianmin Wang Mingsheng Long AI4TS 44 85 0 02 Feb 2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning Xin Dong Ruize Wu Chao Xiong Hai Li Lei Cheng Yong He Shiyou Qian Jian Cao Linjian Mo 11 4 0 31 Jan 2023
Reliable Federated Disentangling Network for Non-IID Domain Feature Ming Wang Kai-An Yu Chun-Mei Feng Yiming Qian K. Zou Lianyu Wang Rick Siow Mong Goh Yong-Jin Liu Huazhu Fu OOD 45 1 0 30 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang Baixu Chen Junwei Pan Ximei Wang Liu Dapeng Jie Jiang Mingsheng Long MoMe 34 20 0 30 Jan 2023
Multi-task Highly Adaptive Lasso Ivana Malenica Rachael V. Phillips D. Lazzareschi Jeremy Coyle Romain Pirracchio Mark van der Laan 35 0 0 27 Jan 2023
Boundary Aware U-Net for Glacier Segmentation B. Aryal K. Miles S. V. Zesati O. Fuentes 30 2 0 26 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 55 2 0 26 Jan 2023
Learning Good Features to Transfer Across Tasks and Domains Pierluigi Zama Ramirez Adriano Cardace Luca de Luigi A. Tonioni Samuele Salti Luigi Di Stefano OOD 22 9 0 26 Jan 2023
Apples and Oranges? Assessing Image Quality over Content Recognition Junyong You Zheng Zhang 37 0 0 22 Jan 2023
SoftEnNet: Symbiotic Monocular Depth Estimation and Lumen Segmentation for Colonoscopy Endorobots Alwyn Mathew Ludovic Magerand Emanuele Trucco L. Manfredi MedIm 38 2 0 19 Jan 2023
Regularising disparity estimation via multi task learning with structured light reconstruction Alistair Weld João Cartucho Chi Xu Joseph Davids Stamatia Giannarou 3DV 32 4 0 19 Jan 2023
Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning Kanghao Chen Sijia Liu Ruixuan Wang Weishi Zheng KELM CLL 22 0 0 18 Jan 2023
SynMotor: A Benchmark Suite for Object Attribute Regression and Multi-task Learning Chengzhi Wu Linxi Qiu Kanran Zhou Julius Pfrommer Jürgen Beyerer 37 1 0 11 Jan 2023
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction Yang Yang Yibo Yang Lefei Zhang ViT 41 52 0 09 Jan 2023
"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning Raphaël Azorin Massimo Gallo A. Finamore Dario Rossi Pietro Michiardi 23 1 0 07 Jan 2023
Machine Learning Approach to Polymerization Reaction Engineering: Determining Monomers Reactivity Ratios Tung Nguyen Mona Bavarian 11 0 0 03 Jan 2023
Physics-Informed Neural Networks for Prognostics and Health Management of Lithium-Ion Batteries Pengfei Wen Z. Ye Yong Li Shaowei Chen Pu Xie Shuai Zhao 32 37 0 02 Jan 2023
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs Wenhui Cui H. Akrami Anand A. Joshi Richard M. Leahy 30 0 0 16 Dec 2022
Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners Zitian Chen Songlin Yang Mingyu Ding Zhenfang Chen Hengshuang Zhao E. Learned-Miller Chuang Gan MoE 26 14 0 15 Dec 2022
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers Kun Zhou Xiao Liu Yeyun Gong Wayne Xin Zhao Daxin Jiang Nan Duan Ji-Rong Wen 40 16 0 15 Dec 2022
Do Text-to-Text Multi-Task Learners Suffer from Task Conflict? David Mueller Nicholas Andrews Mark Dredze 36 6 0 13 Dec 2022
Joint Counting, Detection and Re-Identification for Multi-Object Tracking Weihong Ren Denglu Wu Hui Cao Xi’ai Chen Zhi Han Honghai Liu VOT 36 2 0 12 Dec 2022
Task-Adaptive Meta-Learning Framework for Advancing Spatial Generalizability Zhexiong Liu Licheng Liu Yiqun Xie Zhenong Jin X. Jia 34 7 0 10 Dec 2022
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data Roei Herzig Ofir Abramovich Elad Ben-Avraham Assaf Arbelle Leonid Karlinsky Ariel Shamir Trevor Darrell Amir Globerson 46 16 0 08 Dec 2022
NRTR: Neuron Reconstruction with Transformer from 3D Optical Microscopy Images Yijun Wang R. Lang Rui Li Junsong Zhang ViT 3DV 8 1 0 08 Dec 2022
Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework Zizhang Wu Yuanzhu Gan Xianzhi Li Yunzhe Wu Xiaoquan Wang Tianhao Xu Fan Wang 31 9 0 08 Dec 2022
Physics-constrained deep learning postprocessing of temperature and humidity Francesco Zanetta D. Nerini Tom Beucler M. Liniger AI4CE 13 5 0 07 Dec 2022
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets Yuanying Cai Chuheng Zhang Li Zhao Wei Shen Xuyun Zhang Lei Song Jiang Bian Tao Qin Tie-Yan Liu OffRL 25 3 0 05 Dec 2022
Improving Pareto Front Learning via Multi-Sample Hypernetworks L. P. Hoang Dung D. Le Tuan A. Tran Thang Tran Ngoc 24 24 0 02 Dec 2022
Zero-Shot Learning for Joint Intent and Slot Labeling Rashmi Gangadharaiah Balakrishnan Narayanaswamy VLM 23 2 0 29 Nov 2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning Enneng Yang Junwei Pan Ximei Wang Haibin Yu Li Shen Xihua Chen Lei Xiao Jie Jiang G. Guo 51 43 0 28 Nov 2022
Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification Junlin Hou Jilan Xu Nan Zhang Yuejie Zhang Xiao-Yong Zhang Rui Feng 32 4 0 26 Nov 2022
Improving Multi-task Learning via Seeking Task-based Flat Regions Hoang Phan Lam C. Tran Ngoc N. Tran Nhat Ho Dinh Q. Phung Trung Le 38 11 0 24 Nov 2022
ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification Sara Atito Muhammad Awais Wenwu Wang Mark D. Plumbley J. Kittler ViT 20 9 0 23 Nov 2022
Multi-task Learning for Camera Calibration Talha Hanif Butt M. Taj 3DV 26 0 0 22 Nov 2022
Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies Anish Lakkapragada Essam Sleiman Saimourya Surabhi Dennis Paul Wall MoMe 26 6 0 22 Nov 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings N. Durasov Nik Dorndorf Pascal Fua VLM 26 5 0 21 Nov 2022
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow Philippe Weinzaepfel Thomas Lucas Vincent Leroy Yohann Cabon Vaibhav Arora Romain Brégier G. Csurka L. Antsfeld Boris Chidlovskii Jérôme Revaud ViT 31 83 0 18 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck Chen Shani Jonathan Zarecki Dafna Shahaf 29 6 0 15 Nov 2022
FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity Mingjie Wang Jianxiong Guo Weijia Jia 34 6 0 14 Nov 2022
TLP: A Deep Learning-based Cost Model for Tensor Program Tuning Yiqiang Zhai Yu Zhang Shuo Liu Xiaomeng Chu Jie Peng Jianmin Ji Yanyong Zhang 30 30 0 07 Nov 2022
AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time Haoshu Fang Jiefeng Li Hongyang Tang Chaoshun Xu Haoyi Zhu Yuliang Xiu Yong-Lu Li Cewu Lu 3DH 54 406 0 07 Nov 2022
Curriculum-based Asymmetric Multi-task Reinforcement Learning H. Huang Deheng Ye Li Shen Wen Liu 32 12 0 07 Nov 2022
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection Pratinav Seth Adil Mehmood Khan Ananya Gupta Saurabh Mishra Akshat Bhandhari 31 0 0 06 Nov 2022