Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1908.09597
Cited By
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
IEEE International Conference on Computer Vision (ICCV), 2019
26 August 2019
Felix J. S. Bragman
Ryutaro Tanno
Sebastien Ourselin
Daniel C. Alexander
M. Jorge Cardoso
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels"
50 / 51 papers shown
3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding
X. Wang
Chen Tang
Xiangyu Yue
Wei-Hong Li
3DV
238
1
0
25 Nov 2025
Revisit the Imbalance Optimization in Multi-task Learning: An Experimental Analysis
Yihang Guo
Tianyuan Yu
Liang Bai
Yanming Guo
Yirun Ruan
William Li
Weishi Zheng
186
3
0
28 Sep 2025
Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning
Wooseong Jeong
Kuk-Jin Yoon
380
2
0
10 Jul 2025
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection
Neural Information Processing Systems (NeurIPS), 2024
Jiaqing Zhang
Mingxiang Cao
Weiying Xie
Jie Lei
Daixun Li
Wenbo Huang
Yunsong Li
Xue Yang
478
38
0
28 Jan 2025
DINO-Foresight: Looking into the Future with DINO
Efstathios Karypidis
Ioannis Kakogeorgiou
Spyros Gidaris
N. Komodakis
AI4CE
658
21
0
16 Dec 2024
Nested Hash Layer: A Plug-and-play Module for Multiple-length Hash Code Learning
Liyang He
Yuren Zhang
Rui Li
Zhenya Huang
Runze Wu
Tong Xu
427
0
0
12 Dec 2024
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning
British Machine Vision Conference (BMVC), 2024
Hoàng-Ân Lê
P. Berg
Minh Pham
344
3
0
26 Nov 2024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
International Conference on Learning Representations (ICLR), 2024
Yuxiang Lu
Shengcao Cao
Yu-Xiong Wang
591
6
0
18 Oct 2024
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity
Shuo Cao
Yihao Liu
Wenlong Zhang
Yu Qiao
Chao Dong
294
14
0
17 Jul 2024
Towards Modular LLMs by Building and Reusing a Library of LoRAs
International Conference on Machine Learning (ICML), 2024
O. Ostapenko
Zhan Su
Edoardo Ponti
Laurent Charlin
Nicolas Le Roux
Matheus Pereira
Lucas Caccia
Alessandro Sordoni
MoMe
276
65
0
18 May 2024
Joint-Task Regularization for Partially Labeled Multi-Task Learning
Computer Vision and Pattern Recognition (CVPR), 2024
Kento Nishi
Junsik Kim
Wanhua Li
Hanspeter Pfister
436
7
0
02 Apr 2024
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records
Suhan Cui
Prasenjit Mitra
295
5
0
06 Mar 2024
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning
B. Bejnordi
Gaurav Kumar
Amelie Royer
Christos Louizos
Tijmen Blankevoort
Mohsen Ghafoorian
CVBM
292
2
0
26 Feb 2024
Multimodal Instruction Tuning with Conditional Mixture of LoRA
Ying Shen
Zhiyang Xu
Qifan Wang
Yu Cheng
Wenpeng Yin
Lifu Huang
281
36
0
24 Feb 2024
Scalarization for Multi-Task and Multi-Domain Learning at Scale
Neural Information Processing Systems (NeurIPS), 2023
Amelie Royer
Tijmen Blankevoort
B. Bejnordi
271
25
0
13 Oct 2023
Multi-task Learning with 3D-Aware Regularization
International Conference on Learning Representations (ICLR), 2023
Weihong Li
Jingyu Sun
A. Leonardis
Hakan Bilen
301
9
0
02 Oct 2023
Label Budget Allocation in Multi-Task Learning
Ximeng Sun
Kihyuk Sohn
Kate Saenko
Clayton Mellina
Xiao Bian
397
0
0
24 Aug 2023
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing with Non-Learnable Primitives
Computer Vision and Pattern Recognition (CVPR), 2023
Chuntao Ding
Zhichao Lu
Shangguang Wang
Ran Cheng
Vishnu Boddeti
MoMe
313
28
0
03 Aug 2023
Prompt Guided Transformer for Multi-Task Dense Prediction
IEEE transactions on multimedia (IEEE TMM), 2023
Yuxiang Lu
Shalayiding Sirejiding
Yue Ding
Chunlin Wang
Hongtao Lu
268
34
0
28 Jul 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review
Proceedings of the IEEE (Proc. IEEE), 2023
Maxime Fontana
Michael W. Spratling
Miaojing Shi
341
18
0
25 Jul 2023
FAMO: Fast Adaptive Multitask Optimization
Neural Information Processing Systems (NeurIPS), 2023
B. Liu
Yihao Feng
Peter Stone
Qian Liu
561
81
0
06 Jun 2023
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal
International Conference on Machine Learning (ICML), 2023
Naresh Gurulingan
Bahram Zonooz
Elahe Arani
216
2
0
30 Apr 2023
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
468
108
0
22 Feb 2023
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning
International Conference on Learning Representations (ICLR), 2023
Guangyuan Shi
Qimai Li
Wenlong Zhang
Jiaxin Chen
Xiao-Ming Wu
280
55
0
22 Feb 2023
TMoE-P: Towards the Pareto Optimum for Multivariate Soft Sensors
Licheng Pan
Hao Wang
Zhichao Chen
Yuxin Huang
Xinggao Liu
224
0
0
21 Feb 2023
Context Label Learning: Improving Background Class Representations in Semantic Segmentation
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Zeju Li
Konstantinos Kamnitsas
Cheng Ouyang
Chen Chen
Ben Glocker
VLM
166
13
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
162
18
0
15 Dec 2022
Highly Scalable Task Grouping for Deep Multi-Task Learning in Prediction of Epigenetic Events
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
Mohammad Shiri
Jiangwen Sun
156
3
0
24 Sep 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning
International Journal of Computer Vision (IJCV), 2022
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
473
36
0
06 Apr 2022
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Weihong Li
Xialei Liu
Hakan Bilen
518
51
0
29 Nov 2021
Deep Safe Multi-Task Learning
Zhixiong Yue
Feiyang Ye
Yu Zhang
Christy Jie Liang
Ivor W. Tsang
293
3
0
20 Nov 2021
Variational Multi-Task Learning with Gumbel-Softmax Priors
Neural Information Processing Systems (NeurIPS), 2021
Jiayi Shen
Xiantong Zhen
M. Worring
Ling Shao
186
38
0
09 Nov 2021
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning
Neural Information Processing Systems (NeurIPS), 2021
Lijun Zhang
Xiao Liu
Hui Guan
478
26
0
25 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
412
133
0
04 Oct 2021
Improved optimization strategies for deep Multi-Task Networks
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
238
6
0
21 Sep 2021
Feature Pyramid Network for Multi-task Affective Analysis
Ruian He
Zhen Xing
Weimin Tan
Bo Yan
CVBM
316
10
0
08 Jul 2021
Instance-Level Task Parameters: A Robust Multi-task Weighting Framework
Pavan Kumar Anasosalu Vasu
Shreyas Saxena
Oncel Tuzel
175
7
0
11 Jun 2021
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network
IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2021
Zeyu Wang
Sheng Huang
Zhongxin Liu
Meng Yan
Xin Xia
Bei Wang
Dan Yang
132
3
0
02 Apr 2021
CompositeTasking: Understanding Images by Spatial Composition of Tasks
Computer Vision and Pattern Recognition (CVPR), 2020
Nikola Popovic
D. Paudel
Thomas Probst
Guolei Sun
Luc Van Gool
257
7
0
16 Dec 2020
Bifold and Semantic Reasoning for Pedestrian Behavior Prediction
IEEE International Conference on Computer Vision (ICCV), 2020
Amir Rasouli
Mohsen Rohani
Jun Luo
405
68
0
06 Dec 2020
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
505
755
0
10 Sep 2020
Automated Search for Resource-Efficient Branched Multi-Task Networks
David Brüggemann
Menelaos Kanakis
Stamatios Georgoulis
Luc Van Gool
307
74
0
24 Aug 2020
Foveation for Segmentation of Ultra-High Resolution Images
Chen Jin
Ryutaro Tanno
Moucheng Xu
T. Mertzanidou
Daniel C. Alexander
AI4TS
224
4
0
29 Jul 2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
European Conference on Computer Vision (ECCV), 2020
Menelaos Kanakis
David Brüggemann
Suman Saha
Stamatios Georgoulis
Anton Obukhov
Luc Van Gool
CLL
336
80
0
24 Jul 2020
Maximum Roaming Multi-Task Learning
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
606
31
0
17 Jun 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey
Simon Vandenhende
Stamatios Georgoulis
Wouter Van Gansbeke
Marc Proesmans
Dengxin Dai
Luc Van Gool
CVBM
412
86
0
28 Apr 2020
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Donghyun Kim
Tian-Shing Lan
Chuhang Zou
N. Xu
Bryan A. Plummer
Stan Sclaroff
J. Eledath
Gérard Medioni
214
3
0
18 Feb 2020
12-in-1: Multi-Task Vision and Language Representation Learning
Computer Vision and Pattern Recognition (CVPR), 2019
Jiasen Lu
Vedanuj Goswami
Marcus Rohrbach
Devi Parikh
Stefan Lee
VLM
ObjD
458
503
0
05 Dec 2019
Unlocking the Full Potential of Small Data with Diverse Supervision
Ziqi Pang
Zhiyuan Hu
P. Tokmakov
Yu-Xiong Wang
M. Hebert
199
0
0
29 Nov 2019
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Neural Information Processing Systems (NeurIPS), 2019
Ximeng Sun
Yikang Shen
Rogerio Feris
Kate Saenko
332
310
0
27 Nov 2019
1
2
Next
Page 1 of 2
