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2006.09762
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Maximum Roaming Multi-Task Learning
17 June 2020
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
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Papers citing
"Maximum Roaming Multi-Task Learning"
44 / 44 papers shown
Enabling Asymmetric Knowledge Transfer in Multi-Task Learning with Self-Auxiliaries
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Joerg Wicker
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0
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Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
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Yao Chen
Qiuyang Luo
Ye Lu
Tao Li
Yuzhi Zhang
Yufei Sun
Le Zhang
344
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0
19 Jul 2024
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models
Aidan Z. H. Yang
Haoye Tian
He Ye
Ruben Martins
Claire Le Goues
211
24
0
09 Jun 2024
Task adaption by biologically inspired stochastic comodulation
Gauthier Boeshertz
Caroline Haimerl
Cristina Savin
189
0
0
25 Nov 2023
Denoising Task Routing for Diffusion Models
International Conference on Learning Representations (ICLR), 2023
Byeongjun Park
Sangmin Woo
Hyojun Go
Jin-Young Kim
Changick Kim
DiffM
708
26
0
11 Oct 2023
Challenges and Opportunities of Using Transformer-Based Multi-Task Learning in NLP Through ML Lifecycle: A Survey
Lovre Torbarina
Tin Ferkovic
Lukasz Roguski
Velimir Mihelčić
Bruno Šarlija
Z. Kraljevic
268
8
0
16 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
317
29
0
03 Aug 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
227
2
0
30 Apr 2023
"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning
Raphaël Azorin
Massimo Gallo
A. Finamore
Dario Rossi
Pietro Michiardi
285
1
0
07 Jan 2023
Deep Safe Multi-Task Learning
Zhixiong Yue
Feiyang Ye
Yu Zhang
Christy Jie Liang
Ivor W. Tsang
312
3
0
20 Nov 2021
Improved optimization strategies for deep Multi-Task Networks
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
262
6
0
21 Sep 2021
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
537
762
0
10 Sep 2020
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
European Conference on Computer Vision (ECCV), 2020
Simon Vandenhende
Stamatios Georgoulis
Luc Van Gool
544
286
0
19 Jan 2020
Pareto Multi-Task Learning
Neural Information Processing Systems (NeurIPS), 2019
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
328
419
0
30 Dec 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
IEEE International Conference on Computer Vision (ICCV), 2019
Felix J. S. Bragman
Ryutaro Tanno
Sebastien Ourselin
Daniel C. Alexander
M. Jorge Cardoso
205
97
0
26 Aug 2019
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation
Computer Vision and Pattern Recognition (CVPR), 2019
Ying Tai
Zhen Cui
Chunyan Xu
Yan Yan
Andrii Zadaianchuk
Zhiqiang Wang
MDE
211
319
0
08 Jun 2019
Learning Sparse Networks Using Targeted Dropout
Aidan Gomez
Ivan Zhang
Siddhartha Rao Kamalakara
Divyam Madaan
Kevin Swersky
Y. Gal
Geoffrey E. Hinton
490
102
0
31 May 2019
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis
Ilija Radosavovic
Iasonas Kokkinos
464
285
0
18 Apr 2019
Many Task Learning with Task Routing
Gjorgji Strezoski
Nanne van Noord
Marcel Worring
MoE
324
111
0
28 Mar 2019
Multi-Task Learning as Multi-Objective Optimization
Ozan Sener
V. Koltun
870
1,652
0
10 Oct 2018
Gradient Adversarial Training of Neural Networks
Ayan Sinha
Zhao Chen
Vijay Badrinarayanan
Andrew Rabinovich
AAML
205
41
0
21 Jun 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Goran Frehse
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
296
56
0
28 May 2018
Learning to Multitask
Yu Zhang
Ying Wei
Qiang Yang
347
53
0
19 May 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
Dan Xu
Wanli Ouyang
Xiaogang Wang
Andrii Zadaianchuk
MoE
355
552
0
11 May 2018
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
756
1,362
0
23 Apr 2018
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
449
1,301
0
28 Mar 2018
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Yuan Gao
Jiayi Ma
Mingbo Zhao
Wen Liu
Alan Yuille
448
299
0
25 Jan 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
707
1,757
0
07 Nov 2017
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
4.5K
33,354
0
05 Sep 2017
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
IEEE Transactions on Medical Imaging (TMI), 2016
Nima Tajbakhsh
Jae Y. Shin
S. Gurudu
R. T. Hurst
Christopher B. Kendall
Michael B. Gotway
Jianming Liang
702
2,827
0
02 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
742
3,872
0
19 May 2017
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
1.3K
31,569
0
20 Mar 2017
Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification
Y. Lu
Abhishek Kumar
Shuangfei Zhai
Yu Cheng
T. Javidi
Rogerio Feris
3DH
284
405
0
16 Nov 2016
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
1.2K
6,187
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
915
2,811
0
02 Nov 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
456
722
0
07 Sep 2016
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
365
1,518
0
12 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.8K
13,372
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
4.2K
226,071
0
10 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
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17,769
0
02 Nov 2015
Adam: A Method for Stochastic Optimization
International Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
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165,267
0
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Deep Learning Face Attributes in the Wild
IEEE International Conference on Computer Vision (ICCV), 2014
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
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1.7K
9,468
0
28 Nov 2014
How transferable are features in deep neural networks?
Neural Information Processing Systems (NeurIPS), 2014
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
897
9,131
0
06 Nov 2014
A Model of Inductive Bias Learning
Journal of Artificial Intelligence Research (JAIR), 2000
Jonathan Baxter
543
1,283
0
01 Jun 2011
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