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Taskonomy: Disentangling Task Transfer Learning

Taskonomy: Disentangling Task Transfer Learning

23 April 2018
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas J. Guibas
Jitendra Malik
Silvio Savarese
ArXivPDFHTML

Papers citing "Taskonomy: Disentangling Task Transfer Learning"

50 / 295 papers shown
Title
OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
Fahad Shahbaz Khan
M. Shah
44
50
0
05 Jul 2022
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
Chuyu Zhang
Chuanyan Hu
Ruijie Xu
Zhitong Gao
Qian He
Xuming He
20
4
0
24 Jun 2022
Cross-task Attention Mechanism for Dense Multi-task Learning
Cross-task Attention Mechanism for Dense Multi-task Learning
Ivan Lopes
Tuan-Hung Vu
Raoul de Charette
22
26
0
17 Jun 2022
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
Mingtong Zhang
Shuhong Zheng
Zhipeng Bao
M. Hebert
Yu-xiong Wang
29
12
0
09 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
30
74
0
08 Jun 2022
The CLRS Algorithmic Reasoning Benchmark
The CLRS Algorithmic Reasoning Benchmark
Petar Velivcković
Adria Puigdomenech Badia
David Budden
Razvan Pascanu
Andrea Banino
Mikhail Dashevskiy
R. Hadsell
Charles Blundell
163
89
0
31 May 2022
MulT: An End-to-End Multitask Learning Transformer
MulT: An End-to-End Multitask Learning Transformer
Deblina Bhattacharjee
Tong Zhang
Sabine Süsstrunk
Mathieu Salzmann
ViT
47
63
0
17 May 2022
Warm-starting DARTS using meta-learning
Warm-starting DARTS using meta-learning
Matej Grobelnik
Joaquin Vanschoren
AI4CE
31
1
0
12 May 2022
Offline Visual Representation Learning for Embodied Navigation
Offline Visual Representation Learning for Embodied Navigation
Karmesh Yadav
Ram Ramrakhya
Arjun Majumdar
Vincent-Pierre Berges
Sachit Kuhar
Dhruv Batra
Alexei Baevski
Oleksandr Maksymets
OffRL
SSL
33
72
0
27 Apr 2022
FasterVideo: Efficient Online Joint Object Detection And Tracking
FasterVideo: Efficient Online Joint Object Detection And Tracking
Issa Mouawad
Francesca Odone
VOT
32
4
0
15 Apr 2022
Medusa: Universal Feature Learning via Attentional Multitasking
Medusa: Universal Feature Learning via Attentional Multitasking
Jaime Spencer
Richard Bowden
Simon Hadfield
CLL
36
1
0
12 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
30
27
0
06 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann
David Mizrahi
Andrei Atanov
Amir Zamir
49
265
0
04 Apr 2022
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
SHiFT: An Efficient, Flexible Search Engine for Transfer Learning
Cédric Renggli
Xiaozhe Yao
Luka Kolar
Luka Rimanic
Ana Klimovic
Ce Zhang
OOD
43
4
0
04 Apr 2022
How stable are Transferability Metrics evaluations?
How stable are Transferability Metrics evaluations?
A. Agostinelli
Michal Pándy
J. Uijlings
Thomas Mensink
V. Ferrari
35
23
0
04 Apr 2022
Improving Monocular Visual Odometry Using Learned Depth
Improving Monocular Visual Odometry Using Learned Depth
Libo Sun
Wei Yin
Enze Xie
Zhengrong Li
Changming Sun
Chunhua Shen
MDE
29
26
0
04 Apr 2022
Spatially Multi-conditional Image Generation
Spatially Multi-conditional Image Generation
Ritika Chakraborty
Nikola Popovic
D. Paudel
Thomas Probst
Luc Van Gool
24
1
0
25 Mar 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual
  Representation
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation
Yinan He
Gengshi Huang
Siyu Chen
Jianing Teng
Wang Kun
Zhen-fei Yin
Lu Sheng
Ziwei Liu
Yu Qiao
Jing Shao
VLM
SSL
ViT
43
7
0
16 Mar 2022
A Tree-Structured Multi-Task Model Recommender
A Tree-Structured Multi-Task Model Recommender
Lijun Zhang
Xiao Liu
Hui Guan
LRM
VLM
37
10
0
10 Mar 2022
On Steering Multi-Annotations per Sample for Multi-Task Learning
On Steering Multi-Annotations per Sample for Multi-Task Learning
Yuan Li
Yiwen Guo
Qizhang Li
Hongzhi Zhang
W. Zuo
25
0
0
06 Mar 2022
Online Learning of Reusable Abstract Models for Object Goal Navigation
Online Learning of Reusable Abstract Models for Object Goal Navigation
Tommaso Campari
Leonardo Lamanna
P. Traverso
Luciano Serafini
Lamberto Ballan
EgoV
15
19
0
04 Mar 2022
Object Pose Estimation using Mid-level Visual Representations
Object Pose Estimation using Mid-level Visual Representations
Negar Nejatishahidin
Pooya Fayyazsanavi
Jana Kosecka
35
12
0
02 Mar 2022
3D Common Corruptions and Data Augmentation
3D Common Corruptions and Data Augmentation
Oğuzhan Fatih Kar
Teresa Yeo
Andrei Atanov
Amir Zamir
3DPC
53
107
0
02 Mar 2022
Simple Control Baselines for Evaluating Transfer Learning
Simple Control Baselines for Evaluating Transfer Learning
Andrei Atanov
Shijian Xu
Onur Beker
Andrei Filatov
Amir Zamir
SSL
37
1
0
07 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Auto-Lambda: Disentangling Dynamic Task Relationships
Shikun Liu
Stephen James
Andrew J. Davison
Edward Johns
42
75
0
07 Feb 2022
Multi-task head pose estimation in-the-wild
Multi-task head pose estimation in-the-wild
Roberto Valle
J. M. Buenaposada
Luis Baumela
CVBM
18
67
0
04 Feb 2022
Image-based Navigation in Real-World Environments via Multiple Mid-level
  Representations: Fusion Models, Benchmark and Efficient Evaluation
Image-based Navigation in Real-World Environments via Multiple Mid-level Representations: Fusion Models, Benchmark and Efficient Evaluation
Marco Rosano
Antonino Furnari
Luigi Gulino
C. Santoro
G. Farinella
EgoV
49
5
0
02 Feb 2022
Omnivore: A Single Model for Many Visual Modalities
Omnivore: A Single Model for Many Visual Modalities
Rohit Girdhar
Mannat Singh
Nikhil Ravi
L. V. D. van der Maaten
Armand Joulin
Ishan Misra
229
226
0
20 Jan 2022
Contrastive Regularization for Semi-Supervised Learning
Contrastive Regularization for Semi-Supervised Learning
Doyup Lee
Sungwoong Kim
Ildoo Kim
Yeongjae Cheon
Minsu Cho
Wook-Shin Han
SSL
13
40
0
17 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
Ensembling Off-the-shelf Models for GAN Training
Ensembling Off-the-shelf Models for GAN Training
Nupur Kumari
Richard Y. Zhang
Eli Shechtman
Jun-Yan Zhu
34
86
0
16 Dec 2021
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic
  Data
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data
Qi Yan
Jianhao Zheng
Simon Reding
Shanci Li
I. Doytchinov
46
20
0
16 Dec 2021
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms
Kai Wang
Xianghao Xu
Leon Lei
Selena Ling
Natalie Lindsay
Angel X. Chang
Manolis Savva
Daniel E. Ritchie
3DV
25
5
0
10 Dec 2021
Channel Exchanging Networks for Multimodal and Multitask Dense Image
  Prediction
Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction
Yikai Wang
Gang Hua
Wenbing Huang
Fengxiang He
Dacheng Tao
56
29
0
04 Dec 2021
Divergent representations of ethological visual inputs emerge from
  supervised, unsupervised, and reinforcement learning
Divergent representations of ethological visual inputs emerge from supervised, unsupervised, and reinforcement learning
Grace W. Lindsay
J. Merel
T. Mrsic-Flogel
M. Sahani
SSL
DRL
36
6
0
03 Dec 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Weihong Li
Xialei Liu
Hakan Bilen
47
40
0
29 Nov 2021
Cross-Task Consistency Learning Framework for Multi-Task Learning
Cross-Task Consistency Learning Framework for Multi-Task Learning
Akihiro Nakano
Shi Chen
K. Demachi
CVBM
22
3
0
28 Nov 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
Valerii Likhosherstov
Anurag Arnab
K. Choromanski
Mario Lucic
Yi Tay
Adrian Weller
Mostafa Dehghani
ViT
35
73
0
25 Nov 2021
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing
Xiaoxue Chen
Tianyu Liu
Hao Zhao
Guyue Zhou
Ya Zhang
33
22
0
24 Nov 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks
Exploiting a Zoo of Checkpoints for Unseen Tasks
Jiaji Huang
Qiang Qiu
Kenneth Church
27
4
0
05 Nov 2021
Conflict-Averse Gradient Descent for Multi-task Learning
Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu
Xingchao Liu
Xiaojie Jin
Peter Stone
Qiang Liu
47
298
0
26 Oct 2021
Adversarial Robustness in Multi-Task Learning: Promises and Illusions
Adversarial Robustness in Multi-Task Learning: Promises and Illusions
Salah Ghamizi
Maxime Cordy
Mike Papadakis
Yves Le Traon
OOD
AAML
31
18
0
26 Oct 2021
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLM
LRM
137
277
0
15 Oct 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision
  Datasets from 3D Scans
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
Ainaz Eftekhar
Alexander Sax
Roman Bachmann
Jitendra Malik
Amir Zamir
MedIm
33
288
0
11 Oct 2021
See Yourself in Others: Attending Multiple Tasks for Own Failure
  Detection
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection
Bo Sun
Jiaxu Xing
Hermann Blum
Roland Siegwart
Cesar Cadena
41
12
0
06 Oct 2021
Towards a theory of out-of-distribution learning
Towards a theory of out-of-distribution learning
Jayanta Dey
Ali Geisa
Ronak D. Mehta
Tyler M. Tomita
Hayden S. Helm
Haoyin Xu
Eric Eaton
Jeffery Dick
Carey E. Priebe
Joshua T. Vogelstein
OOD
33
20
0
29 Sep 2021
PASS: An ImageNet replacement for self-supervised pretraining without
  humans
PASS: An ImageNet replacement for self-supervised pretraining without humans
Yuki M. Asano
Christian Rupprecht
Andrew Zisserman
Andrea Vedaldi
VLM
SSL
26
57
0
27 Sep 2021
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task
  Learning
SLAW: Scaled Loss Approximate Weighting for Efficient Multi-Task Learning
M. Crawshaw
Jana Kosecka
26
7
0
16 Sep 2021
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
Firoj Alam
Tanvirul Alam
Md. Arid Hasan
A. Hasnat
Muhammad Imran
Ferda Ofli
VLM
30
51
0
29 Aug 2021
Self-supervised Multi-scale Consistency for Weakly Supervised
  Segmentation Learning
Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
Gabriele Valvano
Andrea Leo
Sotirios A. Tsaftaris
31
5
0
26 Aug 2021
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