b'Jun Wang'

A relic sketch extraction framework based on detail-aware hierarchical deep network

As the first step of the restoration process of painted relics, sketch e...
01/17/2021 ∙ by Jinye Peng, et al. ∙ 9 ∙ share

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Learning the Implicit Semantic Representation on Graph-Structured Data

Existing representation learning methods in graph convolutional networks...
01/16/2021 ∙ by Likang Wu, et al. ∙ 14 ∙ share

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Efficient Semi-Implicit Variational Inference

In this paper, we propose CI-VI an efficient and scalable solver for sem...
01/15/2021 ∙ by Vincent Moens, et al. ∙ 10 ∙ share

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FaceX-Zoo: A PyTorch Toolbox for Face Recognition

Deep learning based face recognition has achieved significant progress i...
01/12/2021 ∙ by Jun Wang, et al. ∙ 42 ∙ share

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Causal World Models by Unsupervised Deconfounding of Physical Dynamics

The capability of imagining internally with a mental model of the world ...
12/28/2020 ∙ by Minne Li, et al. ∙ 9 ∙ share

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Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

Developing link prediction models to automatically complete knowledge gr...
12/22/2020 ∙ by Yao Zhang, et al. ∙ 10 ∙ share

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Learn molecular representations from large-scale unlabeled molecules for drug discovery

How to produce expressive molecular representations is a fundamental cha...
12/21/2020 ∙ by Pengyong Li, et al. ∙ 19 ∙ share

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Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

Most recently, there has been significant interest in learning contextua...
12/18/2020 ∙ by Peng Shi, et al. ∙ 10 ∙ share

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Are we Forgetting about Compositional Optimisers in Bayesian Optimisation?

Bayesian optimisation presents a sample-efficient methodology for global...
12/15/2020 ∙ by Antoine Grosnit, et al. ∙ 14 ∙ share

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Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search

Automatically detecting the positions of key-points (e.g., facial key-po...
12/11/2020 ∙ by Fitash Ul Haq, et al. ∙ 0 ∙ share

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Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions

Active learning generally involves querying the most representative samp...
12/09/2020 ∙ by Jun Wang, et al. ∙ 8 ∙ share

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HEBO: Heteroscedastic Evolutionary Bayesian Optimisation

We introduce HEBO: Heteroscedastic Evolutionary Bayesian Optimisation th...
12/07/2020 ∙ by Alexander I. Cowen-Rivers, et al. ∙ 16 ∙ share

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Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network

The Gleason grading system using histological images is the most powerfu...
11/29/2020 ∙ by Haotian Xie, et al. ∙ 6 ∙ share

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Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee

Reinforcement learning (RL) is promising for complicated stochastic nonl...
11/13/2020 ∙ by Minghao Han, et al. ∙ 10 ∙ share

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Targeted Poisoning Attacks on Black-Box Neural Machine Translation

As modern neural machine translation (NMT) systems have been widely depl...
11/02/2020 ∙ by Chang Xu, et al. ∙ 28 ∙ share

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An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective

Following the remarkable success of the AlphaGO series, 2019 was a boomi...
11/01/2020 ∙ by Yaodong Yang, et al. ∙ 89 ∙ share

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U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Learning to rank with implicit feedback is one of the most important tas...
11/01/2020 ∙ by Xinyi Dai, et al. ∙ 0 ∙ share

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Empirical or Invariant Risk Minimization? A Sample Complexity Perspective

Recently, invariant risk minimization (IRM) was proposed as a promising ...
10/30/2020 ∙ by Kartik Ahuja, et al. ∙ 5 ∙ share

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GMH: A General Multi-hop Reasoning Model for KG Completion

Knowledge graphs are essential for numerous downstream natural language ...
10/15/2020 ∙ by Yao Zhang, et al. ∙ 7 ∙ share

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Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network

In recent years, advances in the development of whole-slide images have ...
10/10/2020 ∙ by Jun Wang, et al. ∙ 12 ∙ share

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Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding

Neural models have yielded state-of-the-art results in deciphering spoke...
10/09/2020 ∙ by Jin Cao, et al. ∙ 9 ∙ share

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Multi-typed Objects Multi-view Multi-instance Multi-label Learning

Multi-typed objects Multi-view Multi-instance Multi-label Learning (M4L)...
10/06/2020 ∙ by Yuanlin Yang, et al. ∙ 0 ∙ share

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Deep Incomplete Multi-View Multiple Clusterings

Multi-view clustering aims at exploiting information from multiple heter...
10/02/2020 ∙ by Shaowei Wei, et al. ∙ 3 ∙ share

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Towards Target-Driven Visual Navigation in Indoor Scenes via Generative Imitation Learning

We present a target-driven navigation system to improve mapless visual n...
09/30/2020 ∙ by Qiaoyun Wu, et al. ∙ 0 ∙ share

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Multi-modal Summarization for Video-containing Documents

Summarization of multimedia data becomes increasingly significant as it ...
09/17/2020 ∙ by Xiyan Fu, et al. ∙ 0 ∙ share

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3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation

In this paper, we focus on estimating the 6D pose of objects in point cl...
09/15/2020 ∙ by Yuanpeng Liu, et al. ∙ 4 ∙ share

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A Real-time Contribution Measurement Method for Participants in Federated Learning

In recent years, individuals, business organizations or the country have...
09/08/2020 ∙ by Boyi Liu, et al. ∙ 6 ∙ share

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Learning to Infer User Hidden States for Online Sequential Advertising

To drive purchase in online advertising, it is of the advertiser's great...
09/03/2020 ∙ by Zhaoqing Peng, et al. ∙ 8 ∙ share

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Computational prediction of RNA tertiary structures using machine learning methods

RNAs play crucial and versatile roles in biological processes. Computati...
09/03/2020 ∙ by Bin Huang, et al. ∙ 32 ∙ share

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Deep Architectures for Modulation Recognition with Multiple Receive Antennas

Modulation recognition using deep neural networks has shown promising ad...
08/15/2020 ∙ by Lei Li, et al. ∙ 0 ∙ share

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Bilevel Learning Model Towards Industrial Scheduling

Automatic industrial scheduling, aiming at optimizing the sequence of jo...
08/10/2020 ∙ by Longkang Li, et al. ∙ 5 ∙ share

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NPCFace: A Negative-Positive Cooperation Supervision for Training Large-scale Face Recognition

Deep face recognition has made remarkable advances in the last few years...
07/20/2020 ∙ by Dan Zeng, et al. ∙ 6 ∙ share

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Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search

In this paper, we introduce a new reinforcement learning (RL) based neur...
07/17/2020 ∙ by Yuan Tian, et al. ∙ 29 ∙ share

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InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling

Real-time 3D object detection is crucial for autonomous cars. Achieving ...
07/16/2020 ∙ by Jun Wang, et al. ∙ 6 ∙ share

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Semi-Siamese Training for Shallow Face Learning

Most existing public face datasets, such as MS-Celeb-1M and VGGFace2, pr...
07/16/2020 ∙ by Hang Du, et al. ∙ 7 ∙ share

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Bidirectional Loss Function for Label Enhancement and Distribution Learning

Label distribution learning (LDL) is an interpretable and general learni...
07/07/2020 ∙ by Xinyuan Liu, et al. ∙ 10 ∙ share

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Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification

Graph neural networks are promising architecture for learning and infere...
06/29/2020 ∙ by Kai Zhang, et al. ∙ 2 ∙ share

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Automated Radiological Report Generation For Chest X-Rays With Weakly-Supervised End-to-End Deep Learning

The chest X-Ray (CXR) is the one of the most common clinical exam used t...
06/18/2020 ∙ by Shuai Zhang, et al. ∙ 35 ∙ share

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SAMBA: Safe Model-Based Active Reinforcement Learning

In this paper, we propose SAMBA, a novel framework for safe reinforcemen...
06/12/2020 ∙ by Alexander I. Cowen-Rivers, et al. ∙ 4 ∙ share

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Learning to Model Opponent Learning

Multi-Agent Reinforcement Learning (MARL) considers settings in which a ...
06/06/2020 ∙ by Ian Davies, et al. ∙ 1 ∙ share

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Explore Training of Deep Convolutional Neural Networks on Battery-powered Mobile Devices: Design and Application

The fast-growing smart applications on mobile devices leverage pre-train...
05/26/2020 ∙ by Cong Wang, et al. ∙ 13 ∙ share

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Learning from a Lightweight Teacher for Efficient Knowledge Distillation

Knowledge Distillation (KD) is an effective framework for compressing de...
05/19/2020 ∙ by Yuang Liu, et al. ∙ 23 ∙ share

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Resisting the Distracting-factors in Pedestrian Detection

Pedestrian detection has been heavily studied in the last decade due to ...
05/15/2020 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language

Person search by natural language aims at retrieving a specific person i...
05/15/2020 ∙ by Zhe Wang, et al. ∙ 1 ∙ share

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Actor-Critic Reinforcement Learning for Control with Stability Guarantee

Deep Reinforcement Learning (DRL) has achieved impressive performance in...
04/29/2020 ∙ by Minghao Han, et al. ∙ 0 ∙ share

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Deep Feature-preserving Normal Estimation for Point Cloud Filtering

Point cloud filtering, the main bottleneck of which is removing noise (o...
04/24/2020 ∙ by Dening Lu, et al. ∙ 2 ∙ share

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Uncertainty Quantification for Hyperspectral Image Denoising Frameworks based on Low-rank Matrix Approximation

Low-rank matrix approximation (LRMA) is a technique widely applied in hy...
04/23/2020 ∙ by Shaobo Xia, et al. ∙ 3 ∙ share

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Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of G_N-Coset Codes

Recently, a parallel decoding framework of G_N-coset codes was proposed....
04/21/2020 ∙ by Xianbin Wang, et al. ∙ 0 ∙ share

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Toward Terabits-per-second Communications: A High-Throughput Hardware Implementation of G_N-Coset Codes

Recently, a parallel decoding algorithm of G_N-coset codes was proposed....
04/21/2020 ∙ by Jiajie Tong, et al. ∙ 0 ∙ share

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CausalVAE: Structured Causal Disentanglement in Variational Autoencoder

Learning disentanglement aims at finding a low dimensional representatio...
04/18/2020 ∙ by Mengyue Yang, et al. ∙ 12 ∙ share

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Jun Wang

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