
Parametric Instance Classification for Unsupervised Visual Feature Learning
This paper presents parametric instance classification (PIC) for unsuper...
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Disentangled NonLocal Neural Networks
The nonlocal block is a popular module for strengthening the context mo...
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Duallevel Semantic Transfer Deep Hashing for Efficient Social Image Retrieval
Social network stores and disseminates a tremendous amount of user share...
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CycleGT: Unsupervised GraphtoText and TexttoGraph Generation via Cycle Training
Two important tasks at the intersection of knowledge graphs and natural ...
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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...
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Repurpose Open Data to Discover Therapeutics for COVID19 using Deep Learning
There have been more than 850,000 confirmed cases and over 48,000 deaths...
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Learning Goaloriented Dialogue Policy with Opposite Agent Awareness
Most existing approaches for goaloriented dialogue policy learning used...
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DGLKE: Training Knowledge Graph Embeddings at Scale
Knowledge graphs have emerged as a key abstraction for organizing inform...
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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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Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation
In the feature maps of CNNs, there commonly exists considerable spatial ...
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Recent Advances and Challenges in Taskoriented Dialog System
Due to the significance and value in humancomputer interaction and natu...
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CrossWOZ: A LargeScale Chinese CrossDomain TaskOriented Dialogue Dataset
To advance multidomain (crossdomain) dialogue modeling as well as alle...
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Transformer on a Diet
Transformer has been widely used thanks to its ability to capture sequen...
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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 ...
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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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Fast DenseNet: Towards Efficient and Accurate Text Recognition with Fast Dense Networks
Convolutional Recurrent Neural Network (CRNN) is a popular network for r...
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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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Deep Selfrepresentative Concept Factorization Network for Representation Learning
In this paper, we investigate the unsupervised deep representation learn...
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QuantumInspired Hamiltonian Monte Carlo for Bayesian Sampling
Hamiltonian Monte Carlo (HMC) is an efficient Bayesian sampling method t...
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MultiScale SelfAttention for Text Classification
In this paper, we introduce the prior knowledge, multiscale structure, ...
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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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Transductive ZeroShot Hashing for MultiLabel Image Retrieval
Hash coding has been widely used in approximate nearest neighbor search ...
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Learning from the Past: Continual MetaLearning via Bayesian Graph Modeling
Metalearning for fewshot learning allows a machine to leverage previou...
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BPTransformer: Modelling LongRange Context via Binary Partitioning
The Transformer model is widely successful on many natural language proc...
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Deep Collaborative Discrete Hashing with SemanticInvariant Structure
Existing deep hashing approaches fail to fully explore semantic correlat...
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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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CrossLingual Contextual Word Embeddings Mapping With MultiSense Words In Mind
Recent work in crosslingual contextual word embedding learning cannot h...
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A Deep Learning Framework for Pricing Financial Instruments
We propose an integrated deep learning architecture for the stock moveme...
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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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Curiositydriven Reinforcement Learning for Diverse Visual Paragraph Generation
Visual paragraph generation aims to automatically describe a given image...
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Efficient Uncertainty Modeling for System Design via Mixed Integer Programming
The postMoore era casts a shadow of uncertainty on many aspects of comp...
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Tucker Tensor Decomposition on FPGA
Tensor computation has emerged as a powerful mathematical tool for solvi...
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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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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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Scalable BlockDiagonal LocalityConstrained Projective Dictionary Learning
We propose a novel structured discriminative blockdiagonal dictionary l...
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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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Local Relation Networks for Image Recognition
The convolution layer has been the dominant feature extractor in compute...
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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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ConvLab: MultiDomain EndtoEnd Dialog System Platform
We present ConvLab, an opensource multidomain endtoend dialog system...
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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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SADIH: SemanticAware DIscrete Hashing
Due to its low storage cost and fast query speed, hashing has been recog...
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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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HighDimensional Uncertainty Quantification of Electronic and Photonic IC with NonGaussian Correlated Process Variations
Uncertainty quantification based on generalized polynomial chaos has bee...
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Bilinear Supervised Hashing Based on 2D Image Features
Hashing has been recognized as an efficient representation learning meth...
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Prediction of multidimensional spatial variation data via Bayesian tensor completion
This paper presents a multidimensional computational method to predict ...
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Adaptive Locality Preserving Regression
This paper proposes a novel discriminative regression method, called ada...
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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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Melodic Phrase Segmentation By Deep Neural Networks
Automated melodic phrase detection and segmentation is a classical task ...
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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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Zheng Zhang
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Professor of Computer Science, NYU Shanghai; Global Network Professor, NYU