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Domain Adaptive Person Re-Identification via Coupling Optimization
XiaobinLiu, ShiliangZhang....
Published date-11/06/2020
DomainAdaptivePersonRe-Identification, PersonRe-Identification, TransferLearning, UnsupervisedPersonRe-Identification
Domain adaptive person Re-Identification (ReID) is challenging owing to the domain gap and shortage of annotations on target scenarios. To handle those two challenges, this paper proposes a coupling optimization …
Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation
HaryoAkbariantoWibowo, TatagAzizPrawiro, MuhammadIhsan....
Published date-11/06/2020
MachineTranslation, StyleTransfer
In its daily use, the Indonesian language is riddled with informality, that is, deviations from the standard in terms of vocabulary, spelling, and word order. On the other hand, current …
Learning with Molecules beyond Graph Neural Networks
GustavSourek, FilipZelezny, OndrejKuzelka....
Published date-11/06/2020
We demonstrate a deep learning framework which is inherently based in the highly expressive language of relational logic, enabling to, among other things, capture arbitrarily complex graph structures. We show …
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services
YuAnWang, ChenweiWang, YinanLing....
Published date-11/06/2020
For short distance traveling in crowded urban areas, bike share services are becoming popular owing to the flexibility and convenience. To expand the service coverage, one of the key tasks …
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish
QuanDuong, MikaHämäläinen, SimonHengchen....
Published date-11/06/2020
MachineTranslation, OpticalCharacterRecognition
Historical corpora are known to contain errors introduced by OCR (optical character recognition) methods used in the digitization process, often said to be degrading the performance of NLP systems. Correcting …
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
ChaoqiWang, ShengyangSun, RogerGrosse....
Published date-11/06/2020
ActiveLearning
While uncertainty estimation is a well-studied topic in deep learning, most such work focuses on marginal uncertainty estimates, i.e. the predictive mean and variance at individual input locations. But it …