MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning

13 May 2023

Papers citing "MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning"

36 / 36 papers shown

Title
Cross-task Attention Mechanism for Dense Multi-task Learning Ivan Lopes Tuan-Hung Vu Raoul de Charette 56 28 0 17 Jun 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 72 28 0 06 Apr 2022
On the Integration of Self-Attention and Convolution Xuran Pan Chunjiang Ge Rui Lu S. Song Guanfu Chen Zeyi Huang Gao Huang SSL 118 299 0 29 Nov 2021
Video Coding for Machine: Compact Visual Representation Compression for Intelligent Collaborative Analytics Wenhan Yang Haofeng Huang Yueyu Hu Ling-yu Duan Jiaying Liu 50 26 0 18 Oct 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 267 363 0 25 Sep 2021
Deep Joint Source-Channel Coding for Multi-Task Network Mengyang Wang Zhicong Zhang Jiahui Li Mengyao Ma Xiaopeng Fan 92 28 0 13 Sep 2021
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification Md. Adnan Arefeen Sumaiya Tabassum Nimi M. Y. S. Uddin Zhu Li 94 10 0 15 Jun 2021
Lightweight compression of neural network feature tensors for collaborative intelligence R. Cohen Hyomin Choi Ivan V. Bajić 50 42 0 12 May 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 70 87 0 25 Mar 2021
Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving Li Wang D. Li Han Liu Jinzhan Peng Lu Tian Yi Shan 48 36 0 21 Mar 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 87 151 0 11 Feb 2021
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks Qing-Long Zhang AI4TS 43 540 0 30 Jan 2021
AdaBins: Depth Estimation using Adaptive Bins S. Bhat Ibraheem Alhashim Peter Wonka 3DV MDE ViT 106 854 0 28 Nov 2020
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis Daniel Seichter Mona Köhler Benjamin Lewandowski Tim Wengefeld H. Groß 93 221 0 13 Nov 2020
Knowledge Distillation for Multi-task Learning Weihong Li Hakan Bilen MoMe 34 73 0 14 Jul 2020
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations Ang Li Yixiao Duan Huanrui Yang Yiran Chen Jianlei Yang 72 50 0 23 May 2020
SplitFed: When Federated Learning Meets Split Learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe Lichao Sun FedML 85 575 0 25 Apr 2020
ResNeSt: Split-Attention Networks Hang Zhang Chongruo Wu Zhongyue Zhang Yi Zhu Yanghua Peng ... Tong He Jonas W. Mueller R. Manmatha Mu Li Alex Smola 86 1,473 0 19 Apr 2020
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations Taihong Xiao Yi-Hsuan Tsai Kihyuk Sohn Manmohan Chandraker Ming-Hsuan Yang 63 75 0 22 Nov 2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks Qilong Wang Banggu Wu Peng Fei Zhu P. Li W. Zuo Q. Hu 131 3,992 0 08 Oct 2019
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones Ang Li Jiayi Guo Huanrui Yang Flora D. Salim Yiran Chen AAML 45 37 0 09 Sep 2019
Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos H. Nguyen Fuming Fang Junichi Yamagishi Isao Echizen AAML CVBM 53 434 0 17 Jun 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi 71 323 0 31 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas Guibas Jitendra Malik Silvio Savarese 95 517 0 18 May 2019
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic Segmentation Yu Wang Quan Zhou Jia-Wei Liu Jian Xiong Guangwei Gao Xiaofu Wu Longin Jan Latecki SSeg 67 314 0 07 May 2019
Selective Kernel Networks Xiang Li Wenhai Wang Xiaolin Hu Jian Yang 93 2,025 0 15 Mar 2019
Structured Knowledge Distillation for Dense Prediction Yifan Liu Chris Liu Jingdong Wang Zhenbo Luo 59 582 0 11 Mar 2019
Deep feature compression for collaborative object detection Hyomin Choi Ivan V. Bajić 43 138 0 12 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 310 13,079 0 07 Feb 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 140 1,282 0 07 Nov 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 380 26,365 0 05 Sep 2017
Renyi Differential Privacy Ilya Mironov 77 1,253 0 24 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 189 6,101 0 01 Jul 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 921 11,587 0 06 Apr 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 139 7,465 0 24 Feb 2016
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 224 8,391 0 28 Nov 2014