Eric Tzeng
6 papers · 2014–2024 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
π₯
Unstoppable Β· Bronze
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Research topics
Keywords
transfer learning
(3)
domain adaptation
(3)
semantic segmentation
(2)
feature extraction
(1)
object detection
(1)
weakly supervised learning
(1)
unsupervised domain adaptation
(1)
image translation
(1)
adversarial domain adaptation
(1)
multiple instance learning
(1)
convolutional neural network
(1)
deep convolutional neural network
(1)
generative adversarial network
(1)
discriminative modeling
(1)
discriminative model
(1)
domain invariance
(1)
domain-invariant representation
(1)
unsupervised adaptation
(1)
cycle consistent
(1)
soft-label distribution
(1)
Papers
Large-scale Reinforcement Learning for Diffusion Models
ECCV 2024
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
ICML 2018
Adversarial Discriminative Domain Adaptation
CVPR 2017
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning
JMLR 2016
Simultaneous Deep Transfer Across Domains and Tasks
ICCV 2015
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
ICML 2014