b'Jie Zhou'

Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search

As hashing becomes an increasingly appealing technique for large-scale i...
02/02/2021 ∙ by Cheng Ma, et al. ∙ 22 ∙ share

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WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track

We participate in the DSTC9 Interactive Dialogue Evaluation Track (Gunas...
01/20/2021 ∙ by Zekang Li, et al. ∙ 0 ∙ share

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SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images

Depth estimation and semantic segmentation play essential roles in scene...
01/19/2021 ∙ by Lei He, et al. ∙ 0 ∙ share

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Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds

Boundary information plays a significant role in 2D image segmentation, ...
01/07/2021 ∙ by Jingyu Gong, et al. ∙ 0 ∙ share

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Weakly-Supervised Saliency Detection via Salient Object Subitizing

Salient object detection aims at detecting the most visually distinct ob...
01/04/2021 ∙ by Xiaoyang Zheng, et al. ∙ 23 ∙ share

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ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning

Pre-trained Language Models (PLMs) have shown strong performance in vari...
12/30/2020 ∙ by Yujia Qin, et al. ∙ 17 ∙ share

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Accelerating Pre-trained Language Models via Calibrated Cascade

Dynamic early exiting aims to accelerate pre-trained language models' (P...
12/29/2020 ∙ by Lei Li, et al. ∙ 6 ∙ share

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SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation

Most existing point cloud instance and semantic segmentation methods hea...
12/18/2020 ∙ by An Tao, et al. ∙ 16 ∙ share

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Distance-wise Graph Contrastive Learning

Contrastive learning (CL) has proven highly effective in graph-based sem...
12/14/2020 ∙ by Deli Chen, et al. ∙ 8 ∙ share

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Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks

Recently, heatmap regression has been widely explored in facial landmark...
12/09/2020 ∙ by Jun Wan, et al. ∙ 0 ∙ share

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Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation

The success of emotional conversation systems depends on sufficient perc...
12/09/2020 ∙ by Yunlong Liang, et al. ∙ 0 ∙ share

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PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

In this paper, we propose Point-Voxel Recurrent All-Pairs Field Transfor...
12/02/2020 ∙ by Yi Wei, et al. ∙ 6 ∙ share

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A spectral-based framework for hypothesis testing in populations of networks

In this paper, we propose a new spectral-based approach to hypothesis te...
11/24/2020 ∙ by Li Chen, et al. ∙ 0 ∙ share

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Robust Facial Landmark Detection by Cross-order Cross-semantic Deep Network

Recently, convolutional neural networks (CNNs)-based facial landmark det...
11/16/2020 ∙ by Jun Wan, et al. ∙ 5 ∙ share

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DisenE: Disentangling Knowledge Graph Embeddings

Knowledge graph embedding (KGE), aiming to embed entities and relations ...
10/28/2020 ∙ by Xiaoyu Kou, et al. ∙ 0 ∙ share

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Multi-Unit Transformers for Neural Machine Translation

Transformer models achieve remarkable success in Neural Machine Translat...
10/21/2020 ∙ by Jianhao Yan, et al. ∙ 0 ∙ share

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GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation

Segmentation of infected areas in chest CT volumes is of great significa...
10/19/2020 ∙ by Zhanwei Xu, et al. ∙ 7 ∙ share

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Robust Face Alignment by Multi-order High-precision Hourglass Network

Heatmap regression (HR) has become one of the mainstream approaches for ...
10/17/2020 ∙ by Jun Wan, et al. ∙ 19 ∙ share

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A Sentiment-Controllable Topic-to-Essay Generator with Topic Knowledge Graph

Generating a vivid, novel, and diverse essay with only several given top...
10/12/2020 ∙ by Lin Qiao, et al. ∙ 0 ∙ share

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MS-Ranker: Accumulating Evidence from Potentially Correct Candidates for Answer Selection

As conventional answer selection (AS) methods generally match the questi...
10/10/2020 ∙ by Yingxue Zhang, et al. ∙ 0 ∙ share

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TurboTransformers: An Efficient GPU Serving System For Transformer Models

The transformer is the most critical algorithm innovation of the Nature ...
10/09/2020 ∙ by Jiarui Fang, et al. ∙ 0 ∙ share

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Token-level Adaptive Training for Neural Machine Translation

There exists a token imbalance phenomenon in natural language as differe...
10/09/2020 ∙ by Shuhao Gu, et al. ∙ 0 ∙ share

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Disentangle-based Continual Graph Representation Learning

Graph embedding (GE) methods embed nodes (and/or edges) in graph into a ...
10/06/2020 ∙ by Xiaoyu Kou, et al. ∙ 0 ∙ share

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Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Neural models have achieved remarkable success on relation extraction (R...
10/05/2020 ∙ by Hao Peng, et al. ∙ 0 ∙ share

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WeChat Neural Machine Translation Systems for WMT20

We participate in the WMT 2020 shared news translation task on Chinese t...
10/01/2020 ∙ by Fandong Meng, et al. ∙ 33 ∙ share

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Contextual Knowledge Selection and Embedding towards Enhanced Pre-Trained Language Models

Several recent efforts have been devoted to enhancing pre-trained langua...
09/29/2020 ∙ by YuSheng Su, et al. ∙ 0 ∙ share

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A Survival Mediation Model with Bayesian Model Averaging

Determining the extent to which a patient is benefiting from cancer ther...
09/16/2020 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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Attention Cube Network for Image Restoration

Recently, deep convolutional neural network (CNN) have been widely used ...
09/13/2020 ∙ by Yucheng Hang, et al. ∙ 0 ∙ share

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Dynamic Context-guided Capsule Network for Multimodal Machine Translation

Multimodal machine translation (MMT), which mainly focuses on enhancing ...
09/04/2020 ∙ by Huan Lin, et al. ∙ 0 ∙ share

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Reinforced Axial Refinement Network for Monocular 3D Object Detection

Monocular 3D object detection aims to extract the 3D position and proper...
08/31/2020 ∙ by Lijie Liu, et al. ∙ 2 ∙ share

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MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation

Knowledge Distillation (KD) has been one of the most popu-lar methods to...
08/27/2020 ∙ by Benlin Liu, et al. ∙ 0 ∙ share

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ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses

Efficient and appropriate online customer service is essential to large ...
08/22/2020 ∙ by Min Fu, et al. ∙ 0 ∙ share

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Modeling Inter-Aspect Dependencies with a Non-temporal Mechanism for Aspect-Based Sentiment Analysis

For multiple aspects scenario of aspect-based sentiment analysis (ABSA),...
08/12/2020 ∙ by Yunlong Liang, et al. ∙ 0 ∙ share

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Low-rank Tensor Bandits

In recent years, multi-dimensional online decision making has been playi...
07/31/2020 ∙ by Botao Hao, et al. ∙ 4 ∙ share

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ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation

This paper describes our system for SemEval-2020 Task 4: Commonsense Val...
07/28/2020 ∙ by Qian Zhao, et al. ∙ 0 ∙ share

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A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation

Multi-modal neural machine translation (NMT) aims to translate source se...
07/17/2020 ∙ by Yongjing Yin, et al. ∙ 0 ∙ share

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Dual Past and Future for Neural Machine Translation

Though remarkable successes have been achieved by Neural Machine Transla...
07/15/2020 ∙ by Jianhao Yan, et al. ∙ 0 ∙ share

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Graph-Based Social Relation Reasoning

Human beings are fundamentally sociable – that we generally organize our...
07/15/2020 ∙ by Wanhua Li, et al. ∙ 0 ∙ share

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Adaptive Graph Encoder for Attributed Graph Embedding

Attributed graph embedding, which learns vector representations from gra...
07/03/2020 ∙ by Ganqu Cui, et al. ∙ 0 ∙ share

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Uncertainty-aware Score Distribution Learning for Action Quality Assessment

Assessing action quality from videos has attracted growing attention in ...
06/13/2020 ∙ by Yansong Tang, et al. ∙ 0 ∙ share

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Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation

Non-autoregressive neural machine translation (NAT) predicts the entire ...
06/09/2020 ∙ by Qiu Ran, et al. ∙ 0 ∙ share

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Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation

We propose a semantics-driven unsupervised learning approach for monocul...
06/08/2020 ∙ by Xiaobin Wei, et al. ∙ 0 ∙ share

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A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking

Recent studies in dialogue state tracking (DST) leverage historical info...
06/02/2020 ∙ by Yong Shan, et al. ∙ 0 ∙ share

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Latent Fingerprint Registration via Matching Densely Sampled Points

Latent fingerprint matching is a very important but unsolved problem. As...
05/12/2020 ∙ by Shan Gu, et al. ∙ 1 ∙ share

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Diversifying Dialogue Generation with Non-Conversational Text

Neural network-based sequence-to-sequence (seq2seq) models strongly suff...
05/09/2020 ∙ by Hui Su, et al. ∙ 0 ∙ share

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Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence

The neural attention model has achieved great success in data-to-text ge...
05/03/2020 ∙ by Xiaoyu Shen, et al. ∙ 0 ∙ share

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KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

Knowledge graphs (KGs) contains an instance-level entity graph and an on...
04/28/2020 ∙ by Jie Zhou, et al. ∙ 0 ∙ share

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MAVEN: A Massive General Domain Event Detection Dataset

Event detection (ED), which identifies event trigger words and classifie...
04/28/2020 ∙ by Xiaozhi Wang, et al. ∙ 0 ∙ share

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Explicitly Modeling Adaptive Depths for Transformer

The vanilla Transformer conducts a fixed number of computations over all...
04/27/2020 ∙ by Yijin Liu, et al. ∙ 0 ∙ share

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Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization

Recently, variational auto-encoder (VAE) based approaches have made impr...
04/26/2020 ∙ by Zeyang Lei, et al. ∙ 0 ∙ share

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Jie Zhou

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