182 citations · 667 across the 40 of their papers we have counts for
4 papers · 1 filter
VizSeq: A Visual Analysis Toolkit for Text Generation Tasks
Changhan Wang, Anirudh Jain, Danlu Chen +1
Automatic evaluation of text generation tasks (e.g. machine translation, text summarization, image captioning and video description) usually relies heavily on task-specific metrics…
Neural Machine Translation with Byte-Level Subwords
Changhan Wang, Kyunghyun Cho, Jiatao Gu
Almost all existing machine translation models are built on top of character-based vocabularies: characters, subwords or words. Rare characters from noisy text or character-rich la…
Does Object Recognition Work for Everyone?
Terrance DeVries, Ishan Misra, Changhan Wang +1
The paper analyzes the accuracy of publicly available object-recognition systems on a geographically diverse dataset. This dataset contains household items and was designed to have…
Levenshtein Transformer
Jiatao Gu, Changhan Wang, Jake Zhao
Modern neural sequence generation models are built to either generate tokens step-by-step from scratch or (iteratively) modify a sequence of tokens bounded by a fixed length. In th…