Taskonomy: Disentangling Task Transfer Learning

23 April 2018

Silvio Savarese

Papers citing "Taskonomy: Disentangling Task Transfer Learning"

45 / 295 papers shown

Title
Transferability and Hardness of Supervised Classification Tasks Anh Tran Cuong V Nguyen Tal Hassner 134 164 0 21 Aug 2019
Feature Partitioning for Efficient Multi-Task Architectures Alejandro Newell Lu Jiang Chong-Jun Wang Li-Jia Li Jia Deng 30 17 0 12 Aug 2019
Learning a Unified Embedding for Visual Search at Pinterest Andrew Zhai Hao-Yu Wu Eric Tzeng Dong Huk Park Charles R. Rosenberg DML 35 50 0 05 Aug 2019
Learnable Parameter Similarity Guangcong Wang Jianhuang Lai Wenqi Liang Guangrun Wang 25 0 0 27 Jul 2019
Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images Muhammad Shaban Ruqayya Awan M. Fraz A. Azam David R. J. Snead Nasir M. Rajpoot MedIm 27 139 0 22 Jul 2019
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera Yuhua Chen Cordelia Schmid C. Sminchisescu SSL MDE 28 243 0 12 Jul 2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition Xiangyang Li Luis Herranz Shuqiang Jiang 15 2 0 11 Jul 2019
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning Majed El Helou Sabine Süsstrunk VLM 24 102 0 05 Jul 2019
Efficient Multi-Domain Network Learning by Covariance Normalization Yunsheng Li Nuno Vasconcelos OOD 22 32 0 24 Jun 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 58 1,417 0 22 May 2019
Which Tasks Should Be Learned Together in Multi-task Learning? Trevor Scott Standley Amir Zamir Dawn Chen Leonidas J. Guibas Jitendra Malik Silvio Savarese 26 503 0 18 May 2019
Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation D. Sánchez Marc Oliu Meysam Madadi Xavier Baro Sergio Escalera 3DH 24 7 0 08 May 2019
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More Jingwen Ye Yixin Ji Xinchao Wang Kairi Ou Dapeng Tao Xiuming Zhang MoMe 24 75 0 23 Apr 2019
Attentive Single-Tasking of Multiple Tasks Kevis-Kokitsi Maninis Ilija Radosavovic Iasonas Kokkinos 77 245 0 18 Apr 2019
Learning Across Tasks and Domains Pierluigi Zama Ramirez A. Tonioni Samuele Salti Luigi Di Stefano 24 32 0 09 Apr 2019
Towards Universal Object Detection by Domain Attention Xudong Wang Zhaowei Cai Dashan Gao Nuno Vasconcelos OOD 25 193 0 09 Apr 2019
The Information Complexity of Learning Tasks, their Structure and their Distance Alessandro Achille Giovanni Paolini G. Mbeng Stefano Soatto 13 51 0 05 Apr 2019
Branched Multi-Task Networks: Deciding What Layers To Share Simon Vandenhende Stamatios Georgoulis Bert De Brabandere Luc Van Gool 25 145 0 05 Apr 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations Fred Hohman Haekyu Park Caleb Robinson Duen Horng Chau FAtt 3DH HAI 19 214 0 04 Apr 2019
Many Task Learning with Task Routing Gjorgji Strezoski Nanne van Noord M. Worring MoE 24 96 0 28 Mar 2019
An End-to-End Network for Panoptic Segmentation Huanyu Liu Chao Peng Changqian Yu Jingbo Wang Xuantong Liu Gang Yu Wei Jiang ISeg 32 148 0 12 Mar 2019
Transfer Adaptation Learning: A Decade Survey Lei Zhang Xinbo Gao OOD 58 184 0 12 Mar 2019
Zero-Shot Task Transfer Arghya Pal V. Balasubramanian 11 52 0 04 Mar 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar N. Janjua OOD 29 200 0 15 Feb 2019
MultiGrain: a unified image embedding for classes and instances Maxim Berman Hervé Jégou Andrea Vedaldi Iasonas Kokkinos Matthijs Douze 15 110 0 14 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 30 972 0 14 Feb 2019
Task2Vec: Task Embedding for Meta-Learning Alessandro Achille Michael Lam Rahul Tewari Avinash Ravichandran Subhransu Maji Charless C. Fowlkes Stefano Soatto Pietro Perona SSL 28 309 0 10 Feb 2019
Depthwise Convolution is All You Need for Learning Multiple Visual Domains Yunhui Guo Yandong Li Rogerio Feris Liqiang Wang Tajana Simunic OOD 26 145 0 03 Feb 2019
DistInit: Learning Video Representations Without a Single Labeled Video Rohit Girdhar Du Tran Lorenzo Torresani Deva Ramanan 27 54 0 26 Jan 2019
Low-Cost Transfer Learning of Face Tasks T. John Isha Dua V. Balasubramanian C. V. Jawahar CLIP CVBM VLM 13 0 0 09 Jan 2019
Meta-Transfer Learning for Few-Shot Learning Qianru Sun Yaoyao Liu Tat-Seng Chua Bernt Schiele 75 1,060 0 06 Dec 2018
Learning to Fuse Things and Stuff Jie Li Allan Raventos Arjun Bhargava Takaaki Tagawa Adrien Gaidon 33 104 0 04 Dec 2018
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling C. Perone P. Ballester Rodrigo C. Barros Julien Cohen-Adad OOD 33 207 0 14 Nov 2018
Transfer Metric Learning: Algorithms, Applications and Outlooks Yong Luo Yonggang Wen Ling-Yu Duan Dacheng Tao 23 11 0 09 Oct 2018
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks Clyde Fare Lukas Turcani Edward O. Pyzer-Knapp 32 13 0 17 Sep 2018
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations Vladimir Nekrasov Thanuja Dharmasiri Andrew Spek Tom Drummond Chunhua Shen Ian Reid 29 148 0 13 Sep 2018
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency Yuliang Zou Zelun Luo Jia-Bin Huang MDE 38 472 0 05 Sep 2018
Visual Reasoning by Progressive Module Networks Seung Wook Kim Makarand Tapaswi Sanja Fidler ReLM LRM 36 13 0 06 Jun 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 91 1,310 0 23 May 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Feng Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 75 2,095 0 12 May 2018
Semantic Edge Detection with Diverse Deep Supervision Yun-Hai Liu Ming-Ming Cheng Jiawang Bian Le Zhang Peng-Tao Jiang Yang Cao 30 100 0 09 Apr 2018
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 889 0 11 Nov 2017
Incremental Learning Through Deep Adaptation Amir Rosenfeld John K. Tsotsos CLL 19 275 0 11 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 457 11,715 0 09 Mar 2017
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 115 876 0 03 Feb 2017