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20182023
most citedIncorporating GAN for Negative Sampling in Knowledge Representation Learning

31 citations · 135 across the 20 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CL2022★ 21 cited

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales

Peifeng Wang, Aaron Chan, Filip Ilievski +2

Neural language models (LMs) have achieved impressive results on various language-based reasoning tasks by utilizing latent knowledge encoded in their own pretrained parameters. To…

cs.CL2022★ 2 cited

Attract me to Buy: Advertisement Copywriting Generation with Multimodal Multi-structured Information

Zhipeng Zhang, Xinglin Hou, Kai Niu +5

Recently, online shopping has gradually become a common way of shopping for people all over the world. Wonderful merchandise advertisements often attract more people to buy. These…

cs.CV2022

Dual-Level Decoupled Transformer for Video Captioning

Yiqi Gao, Xinglin Hou, Wei Suo +4

Video captioning aims to understand the spatio-temporal semantic concept of the video and generate descriptive sentences. The de-facto approach to this task dictates a text generat…

cs.CV2022★ 2 cited

CapOnImage: Context-driven Dense-Captioning on Image

Yiqi Gao, Xinglin Hou, Yuanmeng Zhang +3

Existing image captioning systems are dedicated to generating narrative captions for images, which are spatially detached from the image in presentation. However, texts can also be…

cs.LG2022

Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization

Wei Dong, Junsheng Wu, Yi Luo +2

The key towards learning informative node representations in graphs lies in how to gain contextual information from the neighbourhood. In this work, we present a simple-yet-effecti…

cs.CV2022★ 8 cited

HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation

Yanyuan Qiao, Yuankai Qi, Yicong Hong +3

Pre-training has been adopted in a few of recent works for Vision-and-Language Navigation (VLN). However, previous pre-training methods for VLN either lack the ability to predict f…