Learning multiple visual domains with residual adapters

22 May 2017

Sylvestre-Alvise Rebuffi

Hakan Bilen

Andrea Vedaldi

OOD

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Papers citing "Learning multiple visual domains with residual adapters"

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Title
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 19 75 0 06 Jun 2020
AdapterFusion: Non-Destructive Task Composition for Transfer Learning Jonas Pfeiffer Aishwarya Kamath Andreas Rucklé Kyunghyun Cho Iryna Gurevych CLL MoMe 21 816 0 01 May 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 40 1,927 0 11 Apr 2020
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning Zhaojiang Lin Andrea Madotto Pascale Fung 26 155 0 08 Apr 2020
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images Juil Sock Guillermo Garcia-Hernando Anil Armagan Tae-Kyun Kim 24 5 0 27 Mar 2020
Towards Universal Representation Learning for Deep Face Recognition Yichun Shi Xiang Yu Kihyuk Sohn Manmohan Chandraker Anil K. Jain CVBM OOD 17 148 0 26 Feb 2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data Quande Liu Qi Dou Lequan Yu Pheng Ann Heng OOD 66 274 0 09 Feb 2020
ScaIL: Classifier Weights Scaling for Class Incremental Learning Eden Belouadah Adrian Daniel Popescu CLL 17 78 0 16 Jan 2020
On the Cross-lingual Transferability of Monolingual Representations Mikel Artetxe Sebastian Ruder Dani Yogatama 28 771 0 25 Oct 2019
A Constructive Prediction of the Generalization Error Across Scales Jonathan S. Rosenfeld Amir Rosenfeld Yonatan Belinkov Nir Shavit 13 205 0 27 Sep 2019
Simple, Scalable Adaptation for Neural Machine Translation Ankur Bapna N. Arivazhagan Orhan Firat AI4CE 18 407 0 18 Sep 2019
3D U $^2$ -Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation Chao Huang Hu Han Qingsong Yao Shankuan Zhu S. Kevin Zhou OOD SSeg 27 71 0 04 Sep 2019
Consistent Classification with Generalized Metrics Xiaoyang Wang Ran Li Bowei Yan Oluwasanmi Koyejo 16 8 0 24 Aug 2019
Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell Lu Jiang Chong-Jun Wang Li-Jia Li Jia Deng 22 17 0 12 Aug 2019
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima Jonathan Gordon J. Bronskill Sebastian Nowozin Richard E. Turner 21 240 0 18 Jun 2019
Budget-Aware Adapters for Multi-Domain Learning Rodrigo Berriel Stéphane Lathuilière Moin Nabi T. Klein Thiago Oliveira-Santos N. Sebe Elisa Ricci OOD 14 41 0 15 May 2019
Attentive Single-Tasking of Multiple Tasks Kevis-Kokitsi Maninis Ilija Radosavovic Iasonas Kokkinos 72 243 0 18 Apr 2019
Towards Universal Object Detection by Domain Attention Xudong Wang Zhaowei Cai Dashan Gao Nuno Vasconcelos OOD 9 193 0 09 Apr 2019
Many Task Learning with Task Routing Gjorgji Strezoski N. V. Noord M. Worring MoE 16 96 0 28 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 12 717 0 28 Jan 2019
Disjoint Label Space Transfer Learning with Common Factorised Space Xiaobin Chang Yongxin Yang Tao Xiang Timothy M. Hospedales DRL 24 55 0 06 Dec 2018
SpotTune: Transfer Learning through Adaptive Fine-tuning Yunhui Guo Humphrey Shi Abhishek Kumar Kristen Grauman Tajana Simunic Rogerio Feris 36 444 0 21 Nov 2018
Towards continual learning in medical imaging Chaitanya Baweja Ben Glocker Konstantinos Kamnitsas CLL 17 56 0 06 Nov 2018
Mode Normalization Lucas Deecke Iain Murray Hakan Bilen OOD 29 33 0 12 Oct 2018
Learning Finer-class Networks for Universal Representations Julien Girard-Satabin Y. Tamaazousti Hervé Le Borgne C´eline Hudelot SSL OOD 34 4 0 04 Oct 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 70 2,417 0 06 Sep 2018
Training Faster by Separating Modes of Variation in Batch-normalized Models Mahdi M. Kalayeh M. Shah 19 42 0 07 Jun 2018
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 17 51 0 28 May 2018
A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols Neerav Karani K. Chaitanya Christian F. Baumgartner E. Konukoglu 24 119 0 25 May 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning F. I. F. Richard Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 48 2,090 0 12 May 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 19 45 0 11 Mar 2018
Evolutionary Architecture Search For Deep Multitask Networks J. Liang Elliot Meyerson Risto Miikkulainen 30 120 0 10 Mar 2018
Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing Amir Rosenfeld John K. Tsotsos MLT 24 51 0 02 Feb 2018
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights Arun Mallya Dillon Davis Svetlana Lazebnik CLL 10 35 0 19 Jan 2018
People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting Mark A Marsden Kevin McGuinness Suzanne Little Ciara E. Keogh Noel E. O'Connor 21 85 0 15 Nov 2017