Taskonomy: Disentangling Task Transfer Learning

23 April 2018

Silvio Savarese

Papers citing "Taskonomy: Disentangling Task Transfer Learning"

50 / 295 papers shown

Title
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain Jonghwa Yim Sang Hwan Kim 21 2 0 05 Aug 2020
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets Zhengqin Li Ting Yu S. Sang Sarah Wang Meng Song ... Hong-Xing Yu Kalyan Sunkavalli Milovs Havsan R. Ramamoorthi Manmohan Chandraker 3DV 31 84 0 25 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chen Chen Turkay Kart Huaqi Qiu Daniel Rueckert 25 205 0 20 Jul 2020
Deep Learning Based Brain Tumor Segmentation: A Survey Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 24 228 0 18 Jul 2020
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 20 22 0 17 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 37 417 0 16 Jul 2020
Combining Task Predictors via Enhancing Joint Predictability K. Kim Christian Richardt H. Chang 17 1 0 15 Jul 2020
Auxiliary Tasks Speed Up Learning PointGoal Navigation Joel Ye Dhruv Batra Erik Wijmans Abhishek Das 3DPC EgoV 17 79 0 09 Jul 2020
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research David Schlangen 27 57 0 07 Jul 2020
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability Kaizhao Liang Jacky Y. Zhang Wei Ping Zhuolin Yang Oluwasanmi Koyejo Bohao Li AAML 35 25 0 25 Jun 2020
Rescaling Egocentric Vision Dima Damen Hazel Doughty G. Farinella Antonino Furnari Evangelos Kazakos ... Davide Moltisanti Jonathan Munro Toby Perrett Will Price Michael Wray EgoV 19 437 0 23 Jun 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 31 31 0 17 Jun 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 13 116 0 13 Jun 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression Arun Venkitaraman Anders Hansson B. Wahlberg 31 8 0 12 Jun 2020
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks Yehuda Dar Richard G. Baraniuk 36 19 0 12 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 103 0 12 Jun 2020
Learning to Branch for Multi-Task Learning Pengsheng Guo Chen-Yu Lee Daniel Ulbricht 18 174 0 02 Jun 2020
Modularizing Deep Learning via Pairwise Learning With Kernels Shiyu Duan Shujian Yu José C. Príncipe MoMe 27 20 0 12 May 2020
RetinaFaceMask: A Single Stage Face Mask Detector for Assisting Control of the COVID-19 Pandemic Xinqi Fan Mingjie Jiang CVBM 17 48 0 08 May 2020
VisualEchoes: Spatial Image Representation Learning through Echolocation Ruohan Gao Changan Chen Ziad Al-Halah Carl Schissler Kristen Grauman MDE SSL 171 84 0 04 May 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
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning David Tellez D. Höppener Cornelis Verhoef D. Grünhagen Pieter M H Nierop M. Drozdzal Jeroen van der Laak F. Ciompi MedIm 28 31 0 15 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 93 1,935 0 11 Apr 2020
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning Yuan Gao Haoping Bai Zequn Jie Jiayi Ma Kui Jia Wei Liu 29 94 0 31 Mar 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 27 176 0 30 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 35 20 0 29 Mar 2020
Image compression optimized for 3D reconstruction by utilizing deep neural networks Alexander M. Golts Y. Schechner 3DV 29 12 0 27 Mar 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
On Leveraging Pretrained GANs for Generation with Limited Data Miaoyun Zhao Yulai Cong Lawrence Carin 34 21 0 26 Feb 2020
Evolving Losses for Unsupervised Video Representation Learning A. Piergiovanni A. Angelova Michael S. Ryoo SSL 27 138 0 26 Feb 2020
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN Hang Xu Linpu Fang Xiaodan Liang Wenxiong Kang Zhenguo Li ObjD 32 21 0 18 Feb 2020
Classifying the classifier: dissecting the weight space of neural networks Gabriel Eilertsen Daniel Jonsson Timo Ropinski Jonas Unger Anders Ynnerman 6 53 0 13 Feb 2020
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data Wei Yin Xinlong Wang Chunhua Shen Yifan Liu Zhi Tian Songcen Xu Changming Sun Dou Renyin 3DH MDE 19 70 0 03 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 41 1,174 0 19 Jan 2020
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics Ling-yu Duan Jiaying Liu Wenhan Yang Tiejun Huang Wen Gao 33 187 0 10 Jan 2020
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data Xi Yan David Acuna Sanja Fidler 24 43 0 09 Jan 2020
Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems Isabelle Leang Ganesh Sistu Fabian Burger Andrei Bursuc S. Yogamani 30 53 0 07 Jan 2020
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 24 56 0 20 Dec 2019
Learning Generalizable Visual Representations via Interactive Gameplay Luca Weihs Aniruddha Kembhavi Kiana Ehsani Sarah M Pratt Winson Han Alvaro Herrasti Eric Kolve Dustin Schwenk Roozbeh Mottaghi Ali Farhadi 18 9 0 17 Dec 2019
Learning Sparse Sharing Architectures for Multiple Tasks Tianxiang Sun Yunfan Shao Xiaonan Li Pengfei Liu Hang Yan Xipeng Qiu Xuanjing Huang MoE 30 128 0 12 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 45 667 0 16 Oct 2019
Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network D. Kollias V. Sharmanska Ki-young Shin CVBM 35 213 0 15 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 31 168 0 08 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 14 98 0 07 Oct 2019
Learning transport cost from subset correspondence Ruishan Liu Akshay Balsubramani James Zou OT 24 14 0 29 Sep 2019
Deep Model Transferability from Attribution Maps Mingli Song Yixin Chen Xinchao Wang Chengchao Shen Xiuming Zhang 27 54 0 26 Sep 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels Felix J. S. Bragman Ryutaro Tanno Sebastien Ourselin Daniel C. Alexander M. Jorge Cardoso 24 86 0 26 Aug 2019
Situational Fusion of Visual Representation for Visual Navigation Bokui (William) Shen Danfei Xu Yuke Zhu Leonidas J. Guibas Fei-Fei Li Silvio Savarese SSL 27 62 0 24 Aug 2019
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding Zhengyang Wu Srivignesh Rajendran Tarrence van As Joelle Zimmermann Vijay Badrinarayanan Andrew Rabinovich 19 12 0 24 Aug 2019