32 citations · 38 across the 6 of their papers we have counts for
6 papers
Active Learning Over Multiple Domains in Natural Language Tasks
Shayne Longpre, Julia Reisler, Edward Greg Huang +4
Studies of active learning traditionally assume the target and source data stem from a single domain. However, in realistic applications, practitioners often require active learnin…
One More Check: Making "Fake Background" Be Tracked Again
Chao Liang, Zhipeng Zhang, Xue Zhou +2
The one-shot multi-object tracking, which integrates object detection and ID embedding extraction into a unified network, has achieved groundbreaking results in recent years. Howev…
Rethinking the competition between detection and ReID in Multi-Object Tracking
Chao Liang, Zhipeng Zhang, Xue Zhou +3
Due to balanced accuracy and speed, one-shot models which jointly learn detection and identification embeddings, have drawn great attention in multi-object tracking (MOT). However,…
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering
Shayne Longpre, Yi Lu, Christopher DuBois
Recent work (Feng et al., 2018) establishes the presence of short, uninterpretable input fragments that yield high confidence and accuracy in neural models. We refer to these as Mi…
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
Shayne Longpre, Yi Lu, Joachim Daiber
Progress in cross-lingual modeling depends on challenging, realistic, and diverse evaluation sets. We introduce Multilingual Knowledge Questions and Answers (MKQA), an open-domain…
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering
Shayne Longpre, Yi Lu, Zhucheng Tu +1
To produce a domain-agnostic question answering model for the Machine Reading Question Answering (MRQA) 2019 Shared Task, we investigate the relative benefits of large pre-trained…