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

65 citations

Showing 2018Show all

6 papers · 1 filter

cs.CV2018★ 14 cited

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

Qijie Zhao, Tao Sheng, Yongtao Wang +4

Feature pyramids are widely exploited by both the state-of-the-art one-stage object detectors (e.g., DSSD, RetinaNet, RefineDet) and the two-stage object detectors (e.g., Mask R-CN…

cs.LG2018★ 10 cited

SLMF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization

Yong Liu, Min Wu, Chenghao Liu +2

Synthetic lethality (SL) is a promising concept for novel discovery of anti-cancer drug targets. However, wet-lab experiments for detecting SLs are faced with various challenges, s…

cs.CV2018★ 62 cited

Toward Convolutional Blind Denoising of Real Photographs

Shi Guo, Zifei Yan, Kai Zhang +2

While deep convolutional neural networks (CNNs) have achieved impressive success in image denoising with additive white Gaussian noise (AWGN), their performance remains limited on…

cs.CL2018★ 4 cited

Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search

Yougen Yuan, Cheung-Chi Leung, Lei Xie +3

We propose to learn acoustic word embeddings with temporal context for query-by-example (QbE) speech search. The temporal context includes the leading and trailing word sequences o…

cs.CL2018★ 6 cited

Automatic Generation of Chinese Short Product Titles for Mobile Display

Yu Gong, Xusheng Luo, Kenny Q. Zhu +3

This paper studies the problem of automatically extracting a short title from a manually written longer description of E-commerce products for display on mobile devices. It is a ne…

cs.CL2018★ 1 cited

Deep Cascade Multi-task Learning for Slot Filling in Online Shopping Assistant

Yu Gong, Xusheng Luo, Yu Zhu +6

Slot filling is a critical task in natural language understanding (NLU) for dialog systems. State-of-the-art approaches treat it as a sequence labeling problem and adopt such model…