42 citations · 110 across the 36 of their papers we have counts for
6 papers · 1 filter
Explore the Potential Performance of Vision-and-Language Navigation Model: a Snapshot Ensemble Method
Wenda Qin, Teruhisa Misu, Derry Wijaya
Vision-and-Language Navigation (VLN) is a challenging task in the field of artificial intelligence. Although massive progress has been made in this task over the past few years att…
Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek, Ekin Akyürek, Derry Tanti Wijaya +1
Few-shot class incremental learning -- the problem of updating a trained classifier to discriminate among an expanded set of classes with limited labeled data -- is a key challenge…
Sentiment-based Candidate Selection for NMT
Alex Jones, Derry Tanti Wijaya
The explosion of user-generated content (UGC)--e.g. social media posts, comments, and reviews--has motivated the development of NLP applications tailored to these types of informal…
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual Tasks
Mohammad Sadegh Rasooli, Chris Callison-Burch, Derry Tanti Wijaya
We present a simple but effective approach for leveraging Wikipedia for neural machine translation as well as cross-lingual tasks of image captioning and dependency parsing without…
Majority Voting with Bidirectional Pre-translation For Bitext Retrieval
Alex Jones, Derry Tanti Wijaya
Obtaining high-quality parallel corpora is of paramount importance for training NMT systems. However, as many language pairs lack adequate gold-standard training data, a popular ap…
Low-Resource Machine Translation Training Curriculum Fit for Low-Resource Languages
Garry Kuwanto, Afra Feyza Akyürek, Isidora Chara Tourni +3
We conduct an empirical study of neural machine translation (NMT) for truly low-resource languages, and propose a training curriculum fit for cases when both parallel training data…