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Auxiliary Learning as an Asymmetric Bargaining Game

31 January 2023

Papers citing "Auxiliary Learning as an Asymmetric Bargaining Game"

45 / 45 papers shown

Title
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts Helia Hashemi J. Eisner Corby Rosset Benjamin Van Durme Chris Kedzie 107 4 0 03 Jan 2025
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 111 1 0 13 Jun 2024
On Implicit Bias in Overparameterized Bilevel Optimization Paul Vicol Jon Lorraine Fabian Pedregosa David Duvenaud Roger C. Grosse AI4CE 99 38 0 28 Dec 2022
AANG: Automating Auxiliary Learning Lucio Dery Paul Michel M. Khodak Graham Neubig Ameet Talwalkar 98 9 0 27 May 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 88 75 0 07 Feb 2022
Multi-Task Learning as a Bargaining Game Aviv Navon Aviv Shamsian Idan Achituve Haggai Maron Kenji Kawaguchi Gal Chechik Ethan Fetaya 84 150 0 02 Feb 2022
Conflict-Averse Gradient Descent for Multi-task Learning Bo Liu Xingchao Liu Xiaojie Jin Peter Stone Qiang Liu 90 312 0 26 Oct 2021
Part-aware Panoptic Segmentation Daan de Geus Panagiotis Meletis Chenyang Lu Xiaoxiao Wen Gijs Dubbelman 93 62 0 11 Jun 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 91 88 0 03 Mar 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 134 228 0 27 Jan 2021
Teaching with Commentaries Aniruddh Raghu M. Raghu Simon Kornblith David Duvenaud Geoffrey E. Hinton 85 24 0 05 Nov 2020
Auxiliary Task Reweighting for Minimum-data Learning Baifeng Shi Judy Hoffman Kate Saenko Trevor Darrell Huijuan Xu MoMe 63 33 0 16 Oct 2020
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen Jiquan Ngiam Yanping Huang Thang Luong Henrik Kretzschmar Yuning Chai Dragomir Anguelov 73 217 0 14 Oct 2020
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models Zirui Wang Yulia Tsvetkov Orhan Firat Yuan Cao 72 202 0 12 Oct 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 93 68 0 16 Jul 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 69 59 0 22 Jun 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 174 1,221 0 19 Jan 2020
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 116 415 0 06 Nov 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 110 855 0 10 Sep 2019
Bi-level Actor-Critic for Multi-agent Coordination Haifeng Zhang Weizhe Chen Zeren Huang Minne Li Yaodong Yang Weinan Zhang Jun Wang 154 92 0 08 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 103 517 0 18 May 2019
S4L: Self-Supervised Semi-Supervised Learning Xiaohua Zhai Avital Oliver Alexander Kolesnikov Lucas Beyer SSL VLM 105 795 0 09 May 2019
Ray Interference: a Source of Plateaus in Deep Reinforcement Learning Tom Schaul Diana Borsa Joseph Modayil Razvan Pascanu 62 63 0 25 Apr 2019
Attentive Single-Tasking of Multiple Tasks Kevis-Kokitsi Maninis Ilija Radosavovic Iasonas Kokkinos 172 249 0 18 Apr 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 78 164 0 07 Mar 2019
Self-Supervised Generalisation with Meta Auxiliary Learning Shikun Liu Andrew J. Davison Edward Johns SSL OOD 50 163 0 25 Jan 2019
Adapting Auxiliary Losses Using Gradient Similarity Yunshu Du Wojciech M. Czarnecki Siddhant M. Jayakumar Mehrdad Farajtabar Razvan Pascanu Balaji Lakshminarayanan 78 158 0 05 Dec 2018
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 163 1,283 0 10 Oct 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 179 728 0 13 Jun 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition Pete Warden 86 1,619 0 09 Apr 2018
End-to-End Multi-Task Learning with Attention Shikun Liu Edward Johns Andrew J. Davison CVBM 56 1,053 0 28 Mar 2018
Reviving and Improving Recurrent Back-Propagation Renjie Liao Yuwen Xiong Ethan Fetaya Lisa Zhang Kijung Yoon Xaq Pitkow R. Urtasun R. Zemel BDL 72 120 0 16 Mar 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 160 1,286 0 07 Nov 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 177 4,596 0 26 Oct 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 151 2,828 0 15 Jun 2017
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications Ankur Sinha P. Malo Kalyanmoy Deb 46 756 0 17 May 2017
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks Kazuma Hashimoto Caiming Xiong Yoshimasa Tsuruoka R. Socher KELM 80 575 0 05 Nov 2016
Learning to Push by Grasping: Using multiple tasks for effective learning Lerrel Pinto Abhinav Gupta 65 134 0 28 Sep 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 90 1,348 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 1.1K 11,623 0 06 Apr 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 106 450 0 07 Feb 2016
Instance-aware Semantic Segmentation via Multi-task Network Cascades Jifeng Dai Kaiming He Jian Sun SSeg 171 1,228 0 14 Dec 2015
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters Jelena Luketina Mathias Berglund Klaus Greff T. Raiko 58 173 0 20 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,802 0 02 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014