Taskonomy: Disentangling Task Transfer Learning

23 April 2018

Silvio Savarese

Papers citing "Taskonomy: Disentangling Task Transfer Learning"

50 / 71 papers shown

Title
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer Enming Zhang Liwen Cao Yanru Wu Zijie Zhao Guan Wang Yang Li 90 0 0 09 Apr 2025
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection Tomomasa Yamasaki Zhehui Wang Yaoyu Zhang Niangjun Chen Bo Wang 160 0 0 26 Mar 2025
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks Wei Cui Tongzi Wu Jesse C. Cresswell Yi Sui Keyvan Golestan 93 0 0 12 Mar 2025
SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting Linqi Yang Xiongwei Zhao Qihao Sun Ke Wang Ao Chen Peng Kang 3DGS 111 5 0 07 Mar 2025
Statistical Deficiency for Task Inclusion Estimation Loïc Fosse Frédéric Béchet Benoit Favre Géraldine Damnati Gwénolé Lecorvé Maxime Darrin Philippe Formont Pablo Piantanida 418 0 0 07 Mar 2025
CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery Chenghao Zhang Lubin Fan Shen Cao Bojian Wu Jieping Ye 147 0 0 13 Feb 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan Yuille Zongwei Zhou MedIm 118 9 0 20 Jan 2025
MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision Ruicheng Wang Sicheng Xu Cassie Dai Jianfeng Xiang Yu Deng Xin Tong Jiaolong Yang TPM 3DH MDE 117 36 0 24 Oct 2024
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation Mu Hu Wei Yin C. Zhang Zhipeng Cai Xiaoxiao Long Kaixuan Wang Kaixuan Wang Gang Yu Chunhua Shen Shaojie Shen 3DGS 211 131 0 22 Mar 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 71 6 0 22 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 87 4 0 14 Mar 2024
Towards Principled Task Grouping for Multi-Task Learning Chenguang Wang Xuanhao Pan Tianshu Yu 126 1 0 23 Feb 2024
Shape, Illumination, and Reflectance from Shading Jonathan T. Barron Jitendra Malik 3DV 40 728 0 07 Oct 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 153 31 0 17 Jun 2020
Theoretical Models of Learning to Learn Jonathan Baxter 33 724 0 27 Feb 2020
Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network D. Kollias V. Sharmanska Ki-young Shin CVBM 92 215 0 15 Oct 2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition Xiangyang Li Luis Herranz Shuqiang Jiang 181 2 0 11 Jul 2019
Gibson Env: Real-World Perception for Embodied Agents F. Xia Amir Zamir Zhi-Yang He Alexander Sax Jitendra Malik Silvio Savarese AI4CE LM&Ro 77 822 0 31 Aug 2018
Label Efficient Learning of Transferable Representations across Domains and Tasks Zelun Luo Yuliang Zou Judy Hoffman Li Fei-Fei 68 276 0 30 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 317 886 0 11 Nov 2017
Generic 3D Representation via Pose Estimation and Matching Amir Zamir T. Wekel Pulkit Agrawal Colin Wei Jitendra Malik Silvio Savarese 3DV 47 94 0 23 Oct 2017
Playing for Benchmarks Stephan R. Richter Zeeshan Hayder V. Koltun 74 469 0 21 Sep 2017
Matterport3D: Learning from RGB-D Data in Indoor Environments Angel X. Chang Angela Dai Thomas Funkhouser Maciej Halber Matthias Nießner Manolis Savva Shuran Song Andy Zeng Yinda Zhang 3DV 3DPC 157 1,893 0 18 Sep 2017
One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn Tianhe Yu Tianhao Zhang Pieter Abbeel Sergey Levine SSL 117 561 0 14 Sep 2017
Multi-task Self-Supervised Visual Learning Carl Doersch Andrew Zisserman SSL 72 631 0 25 Aug 2017
Representation Learning by Learning to Count M. Noroozi Hamed Pirsiavash Paolo Favaro SSL 61 369 0 22 Aug 2017
Transitive Invariance for Self-supervised Visual Representation Learning Xinyu Wang Kaiming He Abhinav Gupta OOD SSL 70 178 0 09 Aug 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 803 11,866 0 09 Mar 2017
Identifying beneficial task relations for multi-task learning in deep neural networks Joachim Bingel Anders Søgaard 43 252 0 27 Feb 2017
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 160 884 0 03 Feb 2017
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 62 69 0 01 Dec 2016
Fully Convolutional Instance-aware Semantic Segmentation Yi Li Haozhi Qi Jifeng Dai Xiangyang Ji Yichen Wei ISeg SSeg 75 1,004 0 23 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 310 4,623 0 10 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 76 1,015 0 09 Nov 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 115 672 0 07 Sep 2016
IM2CAD Hamid Izadinia Qi Shan S. M. Seitz 3DV 50 195 0 18 Aug 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 99 2,004 0 14 Jun 2016
Deep Image Homography Estimation Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 54 438 0 13 Jun 2016
Integrated perception with recurrent multi-task neural networks Hakan Bilen Andrea Vedaldi ObjD 66 94 0 06 Jun 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab 3DV MDE 318 1,825 0 01 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 89 141 0 31 May 2016
Context Encoders: Feature Learning by Inpainting Deepak Pathak Philipp Krahenbuhl Jeff Donahue Trevor Darrell Alexei A. Efros SSL 64 5,287 0 25 Apr 2016
A Deep Hierarchical Approach to Lifelong Learning in Minecraft Chen Tessler Shahar Givony Tom Zahavy D. Mankowitz Shie Mannor CLL 121 380 0 25 Apr 2016
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 84 1,344 0 12 Apr 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 154 2,978 0 30 Mar 2016
Colorful Image Colorization Richard Y. Zhang Phillip Isola Alexei A. Efros 122 3,530 0 28 Mar 2016
Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization Chelsea Finn Sergey Levine Pieter Abbeel 108 946 0 01 Mar 2016
Multi-Task Learning with Labeled and Unlabeled Tasks Anastasia Pentina Christoph H. Lampert OffRL 45 37 0 21 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Deep Spatial Autoencoders for Visuomotor Learning Chelsea Finn X. Tan Yan Duan Trevor Darrell Sergey Levine Pieter Abbeel SSL 56 552 0 21 Sep 2015