
FOX: HardwareAssisted File Auditing for Direct Access NVMHosted Filesystems
With emerging nonvolatile memories entering the mainstream market, seve...
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VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Motivated by the rising abundance of observational data with continuous ...
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Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough
Despite the great success of deep learning, recent works show that large...
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Adaptive DensetoSparse Paradigm for Pruning Online Recommendation System with NonStationary Data
Large scale deep learning provides a tremendous opportunity to improve t...
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SAFER: A Structurefree Approach for Certified Robustness to Adversarial Word Substitutions
Stateoftheart NLP models can often be fooled by humanunaware transfo...
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Unsupervised Feature Selection via Multistep Markov Transition Probability
Feature selection is a widely used dimension reduction technique to sele...
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Improving Generalized ZeroShot Learning by Semantic Discriminator
It is a recognized fact that the classification accuracy of unseen class...
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Disentanglement Then Reconstruction: Learning Compact Features for Unsupervised Domain Adaptation
Recent works in domain adaptation always learn domain invariant features...
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Learning Various Length Dependence by Dual Recurrent Neural Networks
Recurrent neural networks (RNNs) are widely used as a memory model for s...
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Steepest Descent Neural Architecture Optimization: Escaping Local Optimum with Signed Neural Splitting
We propose signed splitting steepest descent (S3D), which progressively ...
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Joint COCO and Mapillary Workshop at ICCV 2019 Keypoint Detection Challenge Track Technical Report: DistributionAware Coordinate Representation for Human Pose Estimation
In this paper, we focus on the coordinate representation in human pose e...
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Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
Recent empirical works show that large deep neural networks are often hi...
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BlackBox Certification with Randomized Smoothing: A Functional Optimization Based Framework
Randomized classifiers have been shown to provide a promising approach f...
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Stein SelfRepulsive Dynamics: Benefits From Past Samples
We propose a new Stein selfrepulsive dynamics for obtaining diversified...
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Posttraining Quantization with Multiple Points: Mixed Precision without Mixed Precision
We consider the posttraining quantization problem, which discretizes th...
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MaxUp: A Simple Way to Improve Generalization of Neural Network Training
We propose MaxUp, an embarrassingly simple, highly effective technique f...
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Extended Stochastic Gradient MCMC for LargeScale Bayesian Variable Selection
Stochastic gradient Markov chain Monte Carlo (MCMC) algorithms have rece...
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DistributionAware Coordinate Representation for Human Pose Estimation
While being the de facto standard coordinate representation in human pos...
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Fast Human Pose Estimation
Existing human pose estimation approaches often only consider how to imp...
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TriadNVM: PersistentSecurity for IntegrityProtected and Encrypted NonVolatile Memories (NVMs)
Emerging NonVolatile Memories (NVMs) are promising contenders for build...
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Stein Neural Sampler
We propose two novel samplers to produce highquality samples from a giv...
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Do Convolutional Neural Networks Learn Class Hierarchy?
Convolutional Neural Networks (CNNs) currently achieve stateoftheart ...
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PoseInvariant Face Alignment with a Single CNN
Face alignment has witnessed substantial progress in the last decade. On...
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Mao Ye
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