b'Zheng Zhang'

Bayesian Inference with Certifiable Adversarial Robustness

We consider adversarial training of deep neural networks through the len...
02/10/2021 ∙ by Matthew Wicker, et al. ∙ 7 ∙ share

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Towards Robust Neural Networks via Close-loop Control

Despite their success in massive engineering applications, deep neural n...
02/03/2021 ∙ by Zhuotong Chen, et al. ∙ 0 ∙ share

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Semantic Disentangling Generalized Zero-Shot Learning

Generalized Zero-Shot Learning (GZSL) aims to recognize images from both...
01/20/2021 ∙ by Zhi Chen, et al. ∙ 10 ∙ share

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Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning

Compared to conventional zero-shot learning (ZSL) where recognising unse...
01/09/2021 ∙ by Zhi Chen, et al. ∙ 20 ∙ share

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Active Sampling for Accelerated MRI with Low-Rank Tensors

Magnetic resonance imaging (MRI) is a powerful imaging modality that rev...
12/23/2020 ∙ by Zichang He, et al. ∙ 7 ∙ share

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TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask)

Neural backdoors represent one primary threat to the security of deep le...
12/16/2020 ∙ by Ren Pang, et al. ∙ 44 ∙ share

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Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Cycle-consistent training is widely used for jointly learning a forward ...
12/14/2020 ∙ by Qipeng Guo, et al. ∙ 10 ∙ share

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Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning

Contrastive learning methods for unsupervised visual representation lear...
11/19/2020 ∙ by Zhenda Xie, et al. ∙ 0 ∙ share

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Overview of the Ninth Dialog System Technology Challenge: DSTC9

This paper introduces the Ninth Dialog System Technology Challenge (DSTC...
11/12/2020 ∙ by Chulaka Gunasekara, et al. ∙ 4 ∙ share

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Sparse Tucker Tensor Decomposition on a Hybrid FPGA-CPU Platform

Recommendation systems, social network analysis, medical imaging, and da...
10/20/2020 ∙ by Weiyun Jiang, et al. ∙ 0 ∙ share

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End-to-End Variational Bayesian Training of Tensorized Neural Networks with Automatic Rank Determination

Low-rank tensor decomposition is one of the most effective approaches to...
10/17/2020 ∙ by Cole Hawkins, et al. ∙ 0 ∙ share

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DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

Graph neural networks (GNN) have shown great success in learning from gr...
10/11/2020 ∙ by Da Zheng, et al. ∙ 1 ∙ share

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CoLAKE: Contextualized Language and Knowledge Embedding

With the emerging branch of incorporating factual knowledge into pre-tra...
10/01/2020 ∙ by Tianxiang Sun, et al. ∙ 21 ∙ share

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Efficient Estimation of General Treatment Effects using Neural Networks with A Diverging Number of Confounders

The estimation of causal effects is a primary goal of behavioral, social...
09/15/2020 ∙ by Xiaohong Chen, et al. ∙ 15 ∙ share

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Dual-constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior

Nonnegative matrix factorization is usually powerful for learning the "s...
09/08/2020 ∙ by Yan Zhang, et al. ∙ 8 ∙ share

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High-Dimensional Uncertainty Quantification via Active and Rank-Adaptive Tensor Regression

Uncertainty quantification based on stochastic spectral methods suffers ...
09/04/2020 ∙ by Zichang He, et al. ∙ 0 ∙ share

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Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA networks

This letter investigates secure transmission in an intelligent reflectin...
09/01/2020 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems

Graph neural networks (GNNs) are gaining increasing popularity as a prom...
08/26/2020 ∙ by Yuwei Hu, et al. ∙ 0 ∙ share

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Trojaning Language Models for Fun and Profit

Recent years have witnessed a new paradigm of building natural language ...
08/01/2020 ∙ by Xinyang Zhang, et al. ∙ 0 ∙ share

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Adversarial Bipartite Graph Learning for Video Domain Adaptation

Domain adaptation techniques, which focus on adapting models between dis...
07/31/2020 ∙ by Yadan Luo, et al. ∙ 6 ∙ share

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RepPoints V2: Verification Meets Regression for Object Detection

Verification and regression are two general methodologies for prediction...
07/16/2020 ∙ by Yihong Chen, et al. ∙ 10 ∙ share

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Parametric Instance Classification for Unsupervised Visual Feature Learning

This paper presents parametric instance classification (PIC) for unsuper...
06/25/2020 ∙ by Yue Cao, et al. ∙ 19 ∙ share

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Disentangled Non-Local Neural Networks

The non-local block is a popular module for strengthening the context mo...
06/11/2020 ∙ by Minghao Yin, et al. ∙ 0 ∙ share

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Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval

Social network stores and disseminates a tremendous amount of user share...
06/10/2020 ∙ by Lei Zhu, et al. ∙ 0 ∙ share

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CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Two important tasks at the intersection of knowledge graphs and natural ...
06/08/2020 ∙ by Qipeng Guo, et al. ∙ 10 ∙ share

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Relation of the Relations: A New Paradigm of the Relation Extraction Problem

In natural language, often multiple entities appear in the same text. Ho...
06/05/2020 ∙ by Zhijing Jin, et al. ∙ 0 ∙ share

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Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning

There have been more than 850,000 confirmed cases and over 48,000 deaths...
05/21/2020 ∙ by Xiangxiang Zeng, et al. ∙ 0 ∙ share

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Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness

Most existing approaches for goal-oriented dialogue policy learning used...
04/21/2020 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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DGL-KE: Training Knowledge Graph Embeddings at Scale

Knowledge graphs have emerged as a key abstraction for organizing inform...
04/18/2020 ∙ by Da Zheng, et al. ∙ 0 ∙ share

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Negative Margin Matters: Understanding Margin in Few-shot Classification

This paper introduces a negative margin loss to metric learning based fe...
03/26/2020 ∙ by Bin Liu, et al. ∙ 5 ∙ share

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Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

In the feature maps of CNNs, there commonly exists considerable spatial ...
03/19/2020 ∙ by Zhenda Xie, et al. ∙ 0 ∙ share

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Recent Advances and Challenges in Task-oriented Dialog System

Due to the significance and value in human-computer interaction and natu...
03/17/2020 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset

To advance multi-domain (cross-domain) dialogue modeling as well as alle...
02/27/2020 ∙ by Qi Zhu, et al. ∙ 0 ∙ share

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Transformer on a Diet

Transformer has been widely used thanks to its ability to capture sequen...
02/14/2020 ∙ by Chenguang Wang, et al. ∙ 0 ∙ share

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Race, Gender and Beauty: The Effect of Information Provision on Online Hiring Biases

We conduct a study of hiring bias on a simulation platform where we ask ...
01/16/2020 ∙ by Weiwen Leung, et al. ∙ 0 ∙ share

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Dense RepPoints: Representing Visual Objects with Dense Point Sets

We present an object representation, called Dense RepPoints, for flexibl...
12/24/2019 ∙ by Ze Yang, et al. ∙ 8 ∙ share

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Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks

Convolutional Recurrent Neural Network (CRNN) is a popular network for r...
12/15/2019 ∙ by Zhao Zhang, et al. ∙ 0 ∙ share

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Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition

The Deep Convolutional Neural Networks (CNNs) have obtained a great succ...
12/13/2019 ∙ by Zhao Zhang, et al. ∙ 5 ∙ share

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Deep Self-representative Concept Factorization Network for Representation Learning

In this paper, we investigate the unsupervised deep representation learn...
12/13/2019 ∙ by Yan Zhang, et al. ∙ 16 ∙ share

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Quantum-Inspired Hamiltonian Monte Carlo for Bayesian Sampling

Hamiltonian Monte Carlo (HMC) is an efficient Bayesian sampling method t...
12/04/2019 ∙ by Ziming Liu, et al. ∙ 34 ∙ share

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Multi-Scale Self-Attention for Text Classification

In this paper, we introduce the prior knowledge, multi-scale structure, ...
12/02/2019 ∙ by Qipeng Guo, et al. ∙ 0 ∙ share

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Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning

In this paper, we propose a structured Robust Adaptive Dic-tionary Pair ...
11/20/2019 ∙ by Yulin Sun, et al. ∙ 10 ∙ share

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Transductive Zero-Shot Hashing for Multi-Label Image Retrieval

Hash coding has been widely used in approximate nearest neighbor search ...
11/17/2019 ∙ by Qin Zou, et al. ∙ 0 ∙ share

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Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling

Meta-learning for few-shot learning allows a machine to leverage previou...
11/12/2019 ∙ by Yadan Luo, et al. ∙ 0 ∙ share

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BP-Transformer: Modelling Long-Range Context via Binary Partitioning

The Transformer model is widely successful on many natural language proc...
11/11/2019 ∙ by Zihao Ye, et al. ∙ 0 ∙ share

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Deep Collaborative Discrete Hashing with Semantic-Invariant Structure

Existing deep hashing approaches fail to fully explore semantic correlat...
11/05/2019 ∙ by Zijian Wang, et al. ∙ 0 ∙ share

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Active Subspace of Neural Networks: Structural Analysis and Universal Attacks

Active subspace is a model reduction method widely used in the uncertain...
10/29/2019 ∙ by Chunfeng Cui, et al. ∙ 33 ∙ share

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Cross-Lingual Contextual Word Embeddings Mapping With Multi-Sense Words In Mind

Recent work in cross-lingual contextual word embedding learning cannot h...
09/18/2019 ∙ by Zheng Zhang, et al. ∙ 0 ∙ share

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A Deep Learning Framework for Pricing Financial Instruments

We propose an integrated deep learning architecture for the stock moveme...
09/07/2019 ∙ by Qiong Wu, et al. ∙ 0 ∙ share

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Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification

In this paper, we extend the popular dictionary pair learning (DPL) into...
08/21/2019 ∙ by Zhao Zhang, et al. ∙ 16 ∙ share

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Zheng Zhang

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