Attentive Single-Tasking of Multiple Tasks

18 April 2019

Papers citing "Attentive Single-Tasking of Multiple Tasks"

50 / 58 papers shown

Title
Improving Multi-task Learning via Seeking Task-based Flat Regions Hoang Phan Lam C. Tran Ngoc N. Tran Nhat Ho Tuan Truong Qi Lei Nhat Ho Dinh Q. Phung Trung Le 203 11 0 24 Nov 2022
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 184 31 0 17 Jun 2020
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks Jie Hu Li Shen Samuel Albanie Gang Sun Andrea Vedaldi 73 576 0 29 Oct 2018
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning Pramod Kaushik Mudrakarta Mark Sandler A. Zhmoginov Andrew G. Howard 62 69 0 25 Oct 2018
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 169 1,288 0 10 Oct 2018
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency Yuliang Zou Zelun Luo Jia-Bin Huang MDE 63 477 0 05 Sep 2018
MaskConnect: Connectivity Learning by Gradient Descent Karim Ahmed Lorenzo Torresani 69 49 0 28 Jul 2018
Unified Perceptual Parsing for Scene Understanding Tete Xiao Yingcheng Liu Bolei Zhou Yuning Jiang Jian Sun OCL VOS 195 1,895 0 26 Jul 2018
A Modulation Module for Multi-task Learning with Applications in Image Retrieval Xiangyu Zhao Haoxiang Li Xiaohui Shen Xiaodan Liang Ying Nian Wu 63 139 0 17 Jul 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 227 16,598 0 17 Jul 2018
Gradient Adversarial Training of Neural Networks Ayan Sinha Zhao Chen Vijay Badrinarayanan Andrew Rabinovich AAML 54 33 0 21 Jun 2018
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation Anurag Ranjan Varun Jampani Lukas Balles Kihwan Kim Deqing Sun Jonas Wulff Michael J. Black SSL 60 592 0 24 May 2018
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Dan Xu Wanli Ouyang Xiaogang Wang N. Sebe MoE 59 479 0 11 May 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 126 1,221 0 23 Apr 2018
Efficient parametrization of multi-domain deep neural networks Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 78 364 0 27 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 480 13,178 0 07 Feb 2018
Efficient Video Object Segmentation via Network Modulation L. Yang Yanran Wang Xuehan Xiong Jianchao Yang Aggelos K. Katsaggelos VOS 74 350 0 04 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 204 19,333 0 13 Jan 2018
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery Zhongzheng Ren Yong Jae Lee SSL OOD 93 212 0 24 Nov 2017
Priming Neural Networks Amir Rosenfeld Mahdi Biparva John K. Tsotsos ObjD 59 11 0 16 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 165 1,290 0 07 Nov 2017
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 363 2,233 0 22 Sep 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,557 0 05 Sep 2017
BlitzNet: A Real-Time Deep Network for Scene Understanding Nikita Dvornik K. Shmelkov Julien Mairal Cordelia Schmid SSeg 58 191 0 09 Aug 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould Lei Zhang AIMat 123 4,221 0 25 Jul 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 129 2,735 0 26 Jun 2017
Learning multiple visual domains with residual adapters Sylvestre-Alvise Rebuffi Hakan Bilen Andrea Vedaldi OOD 176 938 0 22 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,135 0 19 May 2017
Incremental Learning Through Deep Adaptation Amir Rosenfeld John K. Tsotsos CLL 76 278 0 11 May 2017
Adversarial Multi-task Learning for Text Classification Pengfei Liu Xipeng Qiu Xuanjing Huang 136 612 0 19 Apr 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 360 27,244 0 20 Mar 2017
PixelNet: Representation of the pixels, by the pixels, and for the pixels Aayush Bansal Xinlei Chen Bryan C. Russell Abhinav Gupta Deva Ramanan SSeg 73 120 0 21 Feb 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,561 0 02 Dec 2016
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 307 1,166 0 24 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 324 20,086 0 07 Oct 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos SSeg SSL 142 677 0 07 Sep 2016
Domain Separation Networks Konstantinos Bousmalis George Trigeorgis N. Silberman Dilip Krishnan D. Erhan OOD 112 1,452 0 22 Aug 2016
Convolutional Oriented Boundaries Kevis-Kokitsi Maninis Jordi Pont-Tuset Pablo Arbelaez Luc Van Gool 60 233 0 09 Aug 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 79 2,464 0 15 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 267 18,267 0 02 Jun 2016
Adversarial Feature Learning Jiasen Lu Philipp Krahenbuhl Trevor Darrell GAN 129 1,612 0 31 May 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 100 1,351 0 12 Apr 2016
Blockout: Dynamic Model Selection for Hierarchical Deep Networks Calvin Murdock Zerui Li Howard Zhou Tom Duerig OOD BDL 50 47 0 16 Dec 2015
Pushing the Boundaries of Boundary Detection using Deep Learning Iasonas Kokkinos 59 232 0 23 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 528 62,377 0 04 Jun 2015
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 390 9,515 0 28 May 2015
Fast R-CNN Ross B. Girshick ObjD 309 25,081 0 30 Apr 2015
Holistically-Nested Edge Detection Saining Xie Zhuowen Tu 141 3,495 0 24 Apr 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 348 10,079 0 10 Feb 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 209 2,683 0 18 Nov 2014