
QuantumInspired Hamiltonian Monte Carlo for Bayesian Sampling
Hamiltonian Monte Carlo (HMC) is an efficient Bayesian sampling method t...
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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...
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Learning Structured TwinIncoherent TwinProjective Latent Dictionary Pairs for Classification
In this paper, we extend the popular dictionary pair learning (DPL) into...
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Deep Selfrepresentative Concept Factorization Network for Representation Learning
In this paper, we investigate the unsupervised deep representation learn...
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Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
In this paper, we propose a structured Robust Adaptive Dictionary Pair ...
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Dense RepPoints: Representing Visual Objects with Dense Point Sets
We present an object representation, called Dense RepPoints, for flexibl...
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ConvLab: MultiDomain EndtoEnd Dialog System Platform
We present ConvLab, an opensource multidomain endtoend dialog system...
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Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning
We propose a joint subspace recovery and enhanced locality based robust ...
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FullyConvolutional Intensive Feature Flow Neural Network for Text Recognition
The Deep Convolutional Neural Networks (CNNs) have obtained a great succ...
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Negative Margin Matters: Understanding Margin in Fewshot Classification
This paper introduces a negative margin loss to metric learning based fe...
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Adaptive Locality Preserving Regression
This paper proposes a novel discriminative regression method, called ada...
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MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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Relation Networks for Object Detection
Although it is well believed for years that modeling relations between o...
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Loss Functions for Multiset Prediction
We study the problem of multiset prediction. The goal of multiset predic...
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Saliencybased Sequential Image Attention with Multiset Prediction
Humans process visual scenes selectively and sequentially using attentio...
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Who Leads the Clothing Fashion: Style, Color, or Texture? A Computational Study
It is well known that clothing fashion is a distinctive and often habitu...
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Natural Scene Character Recognition Using Robust PCA and Sparse Representation
Natural scene character recognition is challenging due to the cluttered ...
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MultiOriented Text Detection with Fully Convolutional Networks
In this paper, we propose a novel approach for text detec tion in natur...
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A survey of sparse representation: algorithms and applications
Sparse representation has attracted much attention from researchers in f...
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Learning to Point and Count
This paper proposes the problem of pointandcount as a test case to bre...
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The Application of Twolevel Attention Models in Deep Convolutional Neural Network for Finegrained Image Classification
Finegrained classification is challenging because categories can only b...
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ScaleInvariant Convolutional Neural Networks
Even though convolutional neural networks (CNN) has achieved nearhuman ...
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Attentional Neural Network: Feature Selection Using Cognitive Feedback
Attentional Neural Network is a new framework that integrates topdown c...
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Learning Word Embeddings from Intrinsic and Extrinsic Views
While word embeddings are currently predominant for natural language pro...
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Efficient Spatial Variation Characterization via Matrix Completion
In this paper, we propose a novel method to estimate and characterize sp...
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MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
MXNet is a multilanguage machine learning (ML) library to ease the deve...
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Fusing Hierarchical Convolutional Features for Human Body Segmentation and Clothing Fashion Classification
The clothing fashion reflects the common aesthetics that people share wi...
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A Simple and Efficient Estimation Method for Models with Nonignorable Missing Data
This paper proposes a simple and efficient estimation procedure for the ...
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Instance Similarity Deep Hashing for MultiLabel Image Retrieval
Hash coding has been widely used in the approximate nearest neighbor sea...
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Music Style Transfer Issues: A Position Paper
Led by the success of neural style transfer on visual arts, there has be...
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Discriminative BlockDiagonal Representation Learning for Image Recognition
Existing blockdiagonal representation researches mainly focuses on cast...
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Music Style Transfer: A Position Paper
Led by the success of neural style transfer on visual arts, there has be...
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Effective Occlusion Handling for Fast Correlation Filterbased Trackers
Correlation filterbased trackers heavily suffer from the problem of mul...
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Memoryaugmented Dialogue Management for Taskoriented Dialogue Systems
Dialogue management (DM) decides the next action of a dialogue system ac...
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TopDown Tree Structured Text Generation
Text generation is a fundamental building block in natural language proc...
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Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion
Streaming tensor factorization is a powerful tool for processing highvo...
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Incomplete Multiview Clustering via Graph Regularized Matrix Factorization
Clustering with incomplete views is a challenge in multiview clustering...
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Integrated Object Detection and Tracking with TrackletConditioned Detection
Accurate detection and tracking of objects is vital for effective video ...
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HighlyEconomized MultiView Binary Compression for Scalable Image Clustering
How to economically cluster largescale multiview images is a longstan...
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StarTransformer
Although the fullyconnected attentionbased model Transformer has achie...
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Explainable TextDriven Neural Network for Stock Prediction
It has been shown that financial news leads to the fluctuation of stock ...
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Melodic Phrase Segmentation By Deep Neural Networks
Automated melodic phrase detection and segmentation is a classical task ...
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SADIH: SemanticAware DIscrete Hashing
Due to its low storage cost and fast query speed, hashing has been recog...
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SpatialTemporal Relation Networks for MultiObject Tracking
Recent progress in multiple object tracking (MOT) has shown that a robus...
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An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Attention mechanisms have become a popular component in deep neural netw...
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Local Relation Networks for Image Recognition
The convolution layer has been the dominant feature extractor in compute...
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Uncertainty Quantification of Electronic and Photonic ICs with NonGaussian Correlated Process Variations
Since the invention of generalized polynomial chaos in 2002, uncertainty...
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Bayesian Tensorized Neural Networks with Automatic Rank Selection
Tensor decomposition is an effective approach to compress overparameter...
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Scalable BlockDiagonal LocalityConstrained Projective Dictionary Learning
We propose a novel structured discriminative blockdiagonal dictionary l...
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Stochastic Collocation with NonGaussian Correlated Parameters via a New Quadrature Rule
This paper generalizes stochastic collocation methods to handle correlat...
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Zheng Zhang
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Professor of Computer Science, NYU Shanghai; Global Network Professor, NYU