"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint
Learning

"It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning

7 January 2023

Raphaël Azorin

Pietro Michiardi

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Papers citing ""It's a Match!" -- A Benchmark of Task Affinity Scores for Joint Learning"

18 / 18 papers shown

Title
Efficiently Identifying Task Groupings for Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 292 255 1 10 Sep 2021
Disentangling Transfer and Interference in Multi-Domain Learning Yipeng Zhang Tyler L. Hayes Christopher Kanan 77 3 0 02 Jul 2021
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 188 31 0 17 Jun 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 186 1,228 0 19 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems Isabelle Leang Ganesh Sistu Fabian Burger Andrei Bursuc S. Yogamani 68 53 0 07 Jan 2020
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning Ximeng Sun Yikang Shen Rogerio Feris Kate Saenko 74 267 0 27 Nov 2019
Deep Model Transferability from Attribution Maps Mingli Song Yixin Chen Xinchao Wang Chengchao Shen Xiuming Zhang 80 54 0 26 Sep 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 113 517 0 18 May 2019
Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning Kshitij Dwivedi Gemma Roig 68 152 0 26 Apr 2019
Task2Vec: Task Embedding for Meta-Learning Alessandro Achille Michael Lam Rahul Tewari Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Stefano Soatto Pietro Perona SSL 80 315 0 10 Feb 2019
A Modulation Module for Multi-task Learning with Applications in Image Retrieval Xiangyu Zhao Haoxiang Li Xiaohui Shen Xiaodan Liang Ying Nian Wu 63 139 0 17 Jul 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,222 0 23 Apr 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 170 1,293 0 07 Nov 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,136 0 19 May 2017
Identifying beneficial task relations for multi-task learning in deep neural networks Joachim Bingel Anders Søgaard 64 252 0 27 Feb 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,618 0 07 Oct 2016
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Shcherbina A. Kundaje FAtt 87 791 0 05 May 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 100 1,351 0 12 Apr 2016