AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning

8 April 2019

Papers citing "AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning"

30 / 30 papers shown

Title
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting Linqi Yang Xiongwei Zhao Qihao Sun Ke Wang Ao Chen Peng Kang 3DGS 134 6 0 07 Mar 2025
The Natural Language Decathlon: Multitask Learning as Question Answering Bryan McCann N. Keskar Caiming Xiong R. Socher AIMat MLLM BDL 149 646 0 20 Jun 2018
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification Han Guo Ramakanth Pasunuru Joey Tianyi Zhou 63 66 0 19 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 1.1K 7,201 0 20 Apr 2018
Deep contextualized word representations Matthew E. Peters Mark Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer NAI 233 11,565 0 15 Feb 2018
GPflowOpt: A Bayesian Optimization Library using TensorFlow Nicolas Knudde J. Herten T. Dhaene Ivo Couckuyt GP 49 78 0 10 Nov 2017
Dynamic Data Selection for Neural Machine Translation M. V. D. Wees Arianna Bisazza Christof Monz 95 154 0 02 Aug 2017
Taming Non-stationary Bandits: A Bayesian Approach Vishnu Raj Sheetal Kalyani 112 76 0 31 Jul 2017
Learning to select data for transfer learning with Bayesian Optimization Sebastian Ruder Barbara Plank 85 186 0 17 Jul 2017
Distral: Robust Multitask Reinforcement Learning Yee Whye Teh V. Bapst Wojciech M. Czarnecki John Quan J. Kirkpatrick R. Hadsell N. Heess Razvan Pascanu 178 554 0 13 Jul 2017
One Model To Learn Them All Lukasz Kaiser Aidan Gomez Noam M. Shazeer Ashish Vaswani Niki Parmar Llion Jones Jakob Uszkoreit VLM ViT 80 334 0 16 Jun 2017
Latent Multi-task Architecture Learning Sebastian Ruder Joachim Bingel Isabelle Augenstein Anders Søgaard CVBM 71 171 0 23 May 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
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data Alexis Conneau Douwe Kiela Holger Schwenk Loïc Barrault Antoine Bordes AI4TS SSL 238 2,105 0 05 May 2017
Multi-Task Video Captioning with Video and Entailment Generation Ramakanth Pasunuru Joey Tianyi Zhou 64 117 0 24 Apr 2017
Automated Curriculum Learning for Neural Networks Alex Graves Marc G. Bellemare Jacob Menick Rémi Munos Koray Kavukcuoglu 96 530 0 10 Apr 2017
Identifying beneficial task relations for multi-task learning in deep neural networks Joachim Bingel Anders Søgaard 69 252 0 27 Feb 2017
Learning to Multi-Task by Active Sampling Sahil Sharma Ashutosh Jha Parikshit Hegde Balaraman Ravindran 128 21 0 20 Feb 2017
Reinforcement Learning with Unsupervised Auxiliary Tasks Max Jaderberg Volodymyr Mnih Wojciech M. Czarnecki Tom Schaul Joel Z Leibo David Silver Koray Kavukcuoglu SSL 111 1,229 0 16 Nov 2016
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks Kazuma Hashimoto Caiming Xiong Yoshimasa Tsuruoka R. Socher KELM 103 575 0 05 Nov 2016
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning Yulia Tsvetkov Manaal Faruqui Wang Ling B. MacWhinney Chris Dyer 89 90 0 12 May 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 103 1,351 0 12 Apr 2016
Instance-aware Semantic Segmentation via Multi-task Network Cascades Jifeng Dai Kaiming He Jian Sun SSeg 180 1,229 0 14 Dec 2015
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov OffRL 113 600 0 19 Nov 2015
Multi-task Sequence to Sequence Learning Minh-Thang Luong Quoc V. Le Ilya Sutskever Oriol Vinyals Lukasz Kaiser AIMat 116 808 0 19 Nov 2015
Fast R-CNN Ross B. Girshick ObjD 312 25,087 0 30 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 379 7,965 0 13 Jun 2012
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 138 2,449 0 12 Dec 2010
Portfolio Allocation for Bayesian Optimization E. Brochu Matthew W. Hoffman Nando de Freitas 435 280 0 28 Sep 2010