SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning

16 September 2021

Papers citing "SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning"

24 / 24 papers shown

Title
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 174 619 0 10 Sep 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 342 1,967 0 11 Apr 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 143 1,209 0 19 Jan 2020
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 95 517 0 18 May 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 66 314 0 10 Feb 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 188 1,449 0 02 Dec 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 95 1,215 0 23 Apr 2018
End-to-End Multi-Task Learning with Attention Shikun Liu Edward Johns Andrew J. Davison CVBM 51 1,046 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 60 253 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 140 1,282 0 07 Nov 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 486 2,217 0 25 Jul 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 248 3,114 0 19 May 2017
When is multitask learning effective? Semantic sequence prediction under varying data conditions Héctor Martínez Alonso Barbara Plank 59 163 0 07 Dec 2016
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 46 386 0 16 Nov 2016
Learning to Push by Grasping: Using multiple tasks for effective learning Lerrel Pinto Abhinav Gupta 60 134 0 28 Sep 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 84 1,344 0 12 Apr 2016
Instance-aware Semantic Segmentation via Multi-task Network Cascades Jifeng Dai Kaiming He Jian Sun SSeg 143 1,227 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov OffRL 83 598 0 19 Nov 2015
Massively Multitask Networks for Drug Discovery Bharath Ramsundar S. Kearnes Patrick F. Riley D. Webster D. Konerding Vijay S. Pande 95 471 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 183 2,678 0 18 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.4K 39,472 0 01 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 187 4,049 0 09 Jun 2014