b'Jie Zhou'

Evaluating Modules in Graph Contrastive Learning

The recent emergence of contrastive learning approaches facilitates the ...
06/15/2021 ∙ by Ganqu Cui, et al. ∙ 16 ∙ share

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Sequence-Level Training for Non-Autoregressive Neural Machine Translation

In recent years, Neural Machine Translation (NMT) has achieved notable r...
06/15/2021 ∙ by Chenze Shao, et al. ∙ 0 ∙ share

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Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation

Recently, knowledge distillation (KD) has shown great success in BERT co...
06/10/2021 ∙ by Yuanxin Liu, et al. ∙ 0 ∙ share

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GTM: A Generative Triple-Wise Model for Conversational Question Generation

Generating some appealing questions in open-domain conversations is an e...
06/07/2021 ∙ by Lei Shen, et al. ∙ 0 ∙ share

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Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency

A good open-domain chatbot should avoid presenting contradictory respons...
06/04/2021 ∙ by Zekang Li, et al. ∙ 0 ∙ share

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Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

Nowadays, open-domain dialogue models can generate acceptable responses ...
06/04/2021 ∙ by Zekang Li, et al. ∙ 0 ∙ share

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DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Attention is sparse in vision transformers. We observe the final predict...
06/03/2021 ∙ by Yongming Rao, et al. ∙ 12 ∙ share

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Exploring Dynamic Selection of Branch Expansion Orders for Code Generation

Due to the great potential in facilitating software development, code ge...
06/01/2021 ∙ by Hui Jiang, et al. ∙ 0 ∙ share

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Fully Hyperbolic Neural Networks

Hyperbolic neural networks have shown great potential for modeling compl...
05/31/2021 ∙ by Weize Chen, et al. ∙ 0 ∙ share

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CLEVE: Contrastive Pre-training for Event Extraction

Event extraction (EE) has considerably benefited from pre-trained langua...
05/30/2021 ∙ by Ziqi Wang, et al. ∙ 0 ∙ share

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Knowledge Inheritance for Pre-trained Language Models

Recent explorations of large-scale pre-trained language models (PLMs) su...
05/28/2021 ∙ by Yujia Qin, et al. ∙ 8 ∙ share

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Selective Knowledge Distillation for Neural Machine Translation

Neural Machine Translation (NMT) models achieve state-of-the-art perform...
05/27/2021 ∙ by Fusheng Wang, et al. ∙ 0 ∙ share

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Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation

Recently, token-level adaptive training has achieved promising improveme...
05/26/2021 ∙ by Yangyifan Xu, et al. ∙ 0 ∙ share

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Prevent the Language Model from being Overconfident in Neural Machine Translation

The Neural Machine Translation (NMT) model is essentially a joint langua...
05/24/2021 ∙ by Mengqi Miao, et al. ∙ 0 ∙ share

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Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction

Distantly supervised (DS) relation extraction (RE) has attracted much at...
05/20/2021 ∙ by Tianyu Gao, et al. ∙ 16 ∙ share

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FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection

In this paper, we investigate the problem of weakly supervised 3D vehicl...
05/17/2021 ∙ by Yi Wei, et al. ∙ 6 ∙ share

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SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation

The practical application requests both accuracy and efficiency on multi...
04/06/2021 ∙ by Jiabin Zhang, et al. ∙ 0 ∙ share

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Objects are Different: Flexible Monocular 3D Object Detection

The precise localization of 3D objects from a single image without depth...
04/06/2021 ∙ by Yunpeng Zhang, et al. ∙ 0 ∙ share

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Meta-Mining Discriminative Samples for Kinship Verification

Kinship verification aims to find out whether there is a kin relation fo...
03/28/2021 ∙ by Wanhua Li, et al. ∙ 0 ∙ share

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Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression

Uncertainty is the only certainty there is. Modeling data uncertainty is...
03/25/2021 ∙ by Wanhua Li, et al. ∙ 0 ∙ share

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Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes

Face clustering is a promising method for annotating unlabeled face imag...
03/24/2021 ∙ by Shuai Shen, et al. ∙ 0 ∙ share

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WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

In this paper, we contribute a new million-scale face benchmark containi...
03/06/2021 ∙ by Zheng Zhu, et al. ∙ 0 ∙ share

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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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Jie Zhou

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