Taskonomy: Disentangling Task Transfer Learning

23 April 2018

Silvio Savarese

Papers citing "Taskonomy: Disentangling Task Transfer Learning"

37 / 37 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 153 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 109 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 416 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 113 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 35 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 200 131 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 122 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 145 31 0 17 Jun 2020
Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network D. Kollias V. Sharmanska Ki-young Shin CVBM 90 215 0 15 Oct 2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition Xiangyang Li Luis Herranz Shuqiang Jiang 174 2 0 11 Jul 2019
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
Playing for Benchmarks Stephan R. Richter Zeeshan Hayder V. Koltun 72 469 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 155 1,893 0 18 Sep 2017
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 302 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
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 54 437 0 13 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
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 147 2,978 0 30 Mar 2016
Multi-Task Learning with Labeled and Unlabeled Tasks Anastasia Pentina Christoph H. Lampert OffRL 42 37 0 21 Feb 2016
Visual Learning of Arithmetic Operations Yedid Hoshen Shmuel Peleg MU 57 22 0 07 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 164 2,782 0 19 May 2015
Unsupervised Learning of Visual Representations using Videos Xinyu Wang Abhinav Gupta SSL 90 232 0 04 May 2015
CRF Learning with CNN Features for Image Segmentation Fayao Liu Guosheng Lin Chunhua Shen SSeg 52 207 0 28 Mar 2015
Zero-Shot Learning by Convex Combination of Semantic Embeddings Mohammad Norouzi Tomas Mikolov Samy Bengio Y. Singer Jonathon Shlens Andrea Frome G. Corrado J. Dean VLM 57 936 0 19 Dec 2013
Provable Bounds for Learning Some Deep Representations Sanjeev Arora Aditya Bhaskara Rong Ge Tengyu Ma BDL 82 335 0 23 Oct 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 174 4,947 0 06 Oct 2013
Zero-Shot Learning Through Cross-Modal Transfer R. Socher M. Ganjoo Hamsa Sridhar Osbert Bastani Christopher D. Manning A. Ng BDL VLM 117 1,467 0 16 Jan 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 208 12,419 0 24 Jun 2012