Which Tasks Should Be Learned Together in Multi-task Learning?

18 May 2019

Trevor Scott Standley

Silvio Savarese

Papers citing "Which Tasks Should Be Learned Together in Multi-task Learning?"

50 / 100 papers shown

Title
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks Andrew M. Saxe Shagun Sodhani Sam Lewallen AI4CE 30 34 0 21 Jul 2022
Cross-task Attention Mechanism for Dense Multi-task Learning Ivan Lopes Tuan-Hung Vu Raoul de Charette 22 26 0 17 Jun 2022
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields Mingtong Zhang Shuhong Zheng Zhipeng Bao M. Hebert Yu-xiong Wang 21 12 0 09 Jun 2022
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering João Machado de Freitas Sebastian Berg Bernhard C. Geiger Manfred Mücke 14 1 0 31 May 2022
MulT: An End-to-End Multitask Learning Transformer Deblina Bhattacharjee Tong Zhang Sabine Süsstrunk Mathieu Salzmann ViT 42 63 0 17 May 2022
A Closer Look at Few-shot Image Generation Yunqing Zhao Henghui Ding Houjing Huang Ngai-man Cheung 34 72 0 08 May 2022
Explaining the Effectiveness of Multi-Task Learning for Efficient Knowledge Extraction from Spine MRI Reports Arijit Sehanobish M. Sandora Nabila Abraham Jayashri Pawar Danielle Torres Anasuya Das M. Becker Richard Herzog Benjamin Odry Ron Vianu 19 3 0 06 May 2022
Improving Few-Shot Part Segmentation using Coarse Supervision Oindrila Saha Zezhou Cheng Subhransu Maji 28 12 0 11 Apr 2022
A Tree-Structured Multi-Task Model Recommender Lijun Zhang Xiao Liu Hui Guan LRM VLM 32 10 0 10 Mar 2022
Multi-task Learning Approach for Modulation and Wireless Signal Classification for 5G and Beyond: Edge Deployment via Model Compression Anu Jagannath Jithin Jagannath 28 26 0 26 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 37 75 0 07 Feb 2022
Multi-task head pose estimation in-the-wild Roberto Valle J. M. Buenaposada Luis Baumela CVBM 18 67 0 04 Feb 2022
Attentive Task Interaction Network for Multi-Task Learning Dimitrios Sinodinos Narges Armanfard AIMat 15 2 0 25 Jan 2022
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation Wentao Ning Reynold Cheng Jiajun Shen Nur Al Hasan Haldar B. Kao Xiao Yan Nan Huo Wai Lam Tian Li Bo Tang 32 18 0 23 Dec 2021
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data Qi Yan Jianhao Zheng Simon Reding Shanci Li I. Doytchinov 46 20 0 16 Dec 2021
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction Yikai Wang Gang Hua Wenbing Huang Fengxiang He Dacheng Tao 54 29 0 04 Dec 2021
Adversarial Robustness in Multi-Task Learning: Promises and Illusions Salah Ghamizi Maxime Cordy Mike Papadakis Yves Le Traon OOD AAML 31 18 0 26 Oct 2021
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations Aishwarya Mandyam Andrew Jones Jiayu Yao K. Laudanski Barbara E. Engelhardt OffRL 21 0 0 06 Oct 2021
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection Bo Sun Jiaxu Xing Hermann Blum Roland Siegwart Cesar Cadena 36 12 0 06 Oct 2021
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning M. Crawshaw Jana Kosecka 26 7 0 16 Sep 2021
Deep multi-task mining Calabi-Yau four-folds Harold Erbin Riccardo Finotello Robin Schneider M. Tamaazousti 35 17 0 04 Aug 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning Lijun Zhang Qizheng Yang Xiao Liu Hui Guan OOD 31 14 0 23 Jul 2021
Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition Xin Chang W. Skarbek 27 19 0 21 Jul 2021
Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference Lu Gan Youngji Kim J. Grizzle Jeffrey M. Walls Ayoung Kim Ryan Eustice Maani Ghaffari 32 15 0 28 Jun 2021
Specializing Multilingual Language Models: An Empirical Study Ethan C. Chau Noah A. Smith 27 27 0 16 Jun 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning Yuyan Wang Xuezhi Wang Alex Beutel Flavien Prost Jilin Chen Ed H. Chi FaML 27 47 0 04 Jun 2021
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation Suman Saha Anton Obukhov D. Paudel Menelaos Kanakis Yuhua Chen Stamatios Georgoulis Luc Van Gool OOD 39 55 0 17 May 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 223 180 0 18 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 47 271 0 16 Apr 2021
Replay in Deep Learning: Current Approaches and Missing Biological Elements Tyler L. Hayes G. Krishnan M. Bazhenov H. Siegelmann T. Sejnowski Christopher Kanan CLL 38 130 0 01 Apr 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 32 59 0 24 Mar 2021
Fisher Task Distance and Its Application in Neural Architecture Search Cat P. Le Mohammadreza Soltani Juncheng Dong Vahid Tarokh FedML 24 8 0 23 Mar 2021
RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy Isabel Valera 21 86 0 03 Mar 2021
Multi-Task Reinforcement Learning with Context-based Representations Shagun Sodhani Amy Zhang Joelle Pineau 32 182 0 11 Feb 2021
Language Modelling as a Multi-Task Problem Leon Weber Jaap Jumelet Elia Bruni Dieuwke Hupkes 26 13 0 27 Jan 2021
Taxonomy Completion via Triplet Matching Network Jieyu Zhang Xiangchen Song Ying Zeng Jiaze Chen Jiaming Shen Yuning Mao Lei Li 34 38 0 06 Jan 2021
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding Mike Roberts Jason Ramapuram Anurag Ranjan Atulit Kumar Miguel Angel Bautista Nathan Paczan Russ Webb Joshua M. Susskind 45 368 0 04 Nov 2020
Measuring and Harnessing Transference in Multi-Task Learning Christopher Fifty Ehsan Amid Zhe Zhao Tianhe Yu Rohan Anil Chelsea Finn 28 15 0 29 Oct 2020
Controllable Pareto Multi-Task Learning Xi Lin Zhiyuan Yang Qingfu Zhang Sam Kwong MoE 77 73 0 13 Oct 2020
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data Jonathan Pilault Amine Elhattami C. Pal CLL MoE 30 89 0 19 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey M. Crawshaw CVBM 48 609 0 10 Sep 2020
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning Siqi Bao H. He Fan Wang Hua Wu Haifeng Wang Wenquan Wu Zhen Guo Zhibin Liu Xinchao Xu 30 137 0 30 Jun 2020
Auxiliary Learning by Implicit Differentiation Aviv Navon Idan Achituve Haggai Maron Gal Chechik Ethan Fetaya 28 59 0 22 Jun 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 18 174 0 02 Jun 2020
Understanding and Improving Information Transfer in Multi-Task Learning Sen Wu Hongyang R. Zhang Christopher Ré 18 154 0 02 May 2020
Multi-Task Learning for Dense Prediction Tasks: A Survey Simon Vandenhende Stamatios Georgoulis Wouter Van Gansbeke Marc Proesmans Dengxin Dai Luc Van Gool CVBM 29 72 0 28 Apr 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 28 213 0 27 Feb 2020
Frosting Weights for Better Continual Training Xiaofeng Zhu Feng Liu Goce Trajcevski Dingding Wang FedML AI4CE CLL 28 5 0 07 Jan 2020
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016