265 citations · 1.9k across the 79 of their papers we have counts for
6 papers · 1 filter
Dilated Recurrent Neural Networks
Shiyu Chang, Yang Zhang, Wei Han +7
Learning with recurrent neural networks (RNNs) on long sequences is a notoriously difficult task. There are three major challenges: 1) complex dependencies, 2) vanishing and explod…
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
Shuohang Wang, Mo Yu, Jing Jiang +7
A popular recent approach to answering open-domain questions is to first search for question-related passages and then apply reading comprehension models to extract answers. Existi…
Jointly Attentive Spatial-Temporal Pooling Networks for Video-based Person Re-Identification
Shuangjie Xu, Yu Cheng, Kang Gu +3
Person Re-Identification (person re-id) is a crucial task as its applications in visual surveillance and human-computer interaction. In this work, we present a novel joint Spatial…
R: Reinforced Reader-Ranker for Open-Domain Question Answering
Shuohang Wang, Mo Yu, Xiaoxiao Guo +7
In recent years researchers have achieved considerable success applying neural network methods to question answering (QA). These approaches have achieved state of the art results i…
Robust Task Clustering for Deep Many-Task Learning
Mo Yu, Xiaoxiao Guo, Jinfeng Yi +5
We investigate task clustering for deep-learning based multi-task and few-shot learning in a many-task setting. We propose a new method to measure task similarities with cross-task…
Fast Generation for Convolutional Autoregressive Models
Prajit Ramachandran, Tom Le Paine, Pooya Khorrami +6
Convolutional autoregressive models have recently demonstrated state-of-the-art performance on a number of generation tasks. While fast, parallel training methods have been crucial…