output
20162026
most citedSwinVRNN: A Data-Driven Ensemble Forecasting Model via Learned Distribution Perturbation

65 citations

Showing 2020Show all

9 papers · 1 filter

cs.CL2020★ 1 cited

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model

Juntao Li, Ruidan He, Hai Ye +3

Recent research indicates that pretraining cross-lingual language models on large-scale unlabeled texts yields significant performance improvements over various cross-lingual and l…

cs.CL2020★ 2 cited

Partially-Aligned Data-to-Text Generation with Distant Supervision

Zihao Fu, Bei Shi, Wai Lam +2

The Data-to-Text task aims to generate human-readable text for describing some given structured data enabling more interpretability. However, the typical generation task is confine…

cs.CV2020★ 40 cited

Suppress and Balance: A Simple Gated Network for Salient Object Detection

Xiaoqi Zhao, Youwei Pang, Lihe Zhang +2

Most salient object detection approaches use U-Net or feature pyramid networks (FPN) as their basic structures. These methods ignore two key problems when the encoder exchanges inf…

cs.CV2020★ 13 cited

Region-adaptive Texture Enhancement for Detailed Person Image Synthesis

Lingbo Yang, Pan Wang, Xinfeng Zhang +6

The ability to produce convincing textural details is essential for the fidelity of synthesized person images. However, existing methods typically follow a ``warping-based'' strate…

cs.CV2020★ 16 cited

Learning in the Frequency Domain

Kai Xu, Minghai Qin, Fei Sun +3

Deep neural networks have achieved remarkable success in computer vision tasks. Existing neural networks mainly operate in the spatial domain with fixed input sizes. For practical…

cs.CL2020★ 1 cited

Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection

Qian Chen, Mengzhe Chen, Bo Li +1

With the increased applications of automatic speech recognition (ASR) in recent years, it is essential to automatically insert punctuation marks and remove disfluencies in transcri…