Ariel Gordon
6 papers
· 2017–2021
· 5 conferences
· across top CS/AI conferences
Achievements
πΊοΈ
Taxonomy Completionist
(13)
π
Cross-Pollinator
(15)
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Interdisciplinary Bridge
π
Conference Polyglot
(5)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Unstoppable
(5)
Conferences
CVPR (2)
AISTATS (1)
CORL (1)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
depth estimation
(2)
semantic segmentation
(1)
multi-task learning
(1)
structure learning
(1)
self-supervised learning
(1)
network pruning
(1)
neural architecture search
(1)
dynamic scene
(1)
model efficiency
(1)
precision-recall curve
(1)
resource constraint
(1)
joint training
(1)
consistency loss
(1)
architecture design
(1)
ego-motion estimation
(1)
monocular depth
(1)
photometric consistency
(1)
object motion
(1)
neural network
(1)
rigid motion
(1)
Papers
Scalable Learning of Non-Decomposable Objectives
AISTATS 2017