b'Sheng Zhang'

Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning

Open attribute value extraction for emerging entities is an important bu...
10/19/2020 ∙ by Ye Liu, et al. ∙ 0 ∙ share

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Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer

Multi-task transfer learning based on pre-trained language encoders achi...
09/23/2020 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Augmented Gaussian Random Field: Theory and Computation

We provide a rigorous theoretical foundation for incorporating data of o...
09/03/2020 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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DeepFaceLab: A simple, flexible and extensible face swapping framework

DeepFaceLab is an open-source deepfake system created by iperov for face...
05/12/2020 ∙ by Ivan Perov, et al. ∙ 17 ∙ share

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Error Model of Radio Fingerprint and PDR Fusion Indoor Localization

Multi-source fusion positioning is one of the technical frameworks for o...
01/05/2020 ∙ by Haojun Ai, et al. ∙ 0 ∙ share

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Transductive Parsing for Universal Decompositional Semantics

We introduce a transductive model for parsing into Universal Decompositi...
10/22/2019 ∙ by Elias Stengel-Eskin, et al. ∙ 0 ∙ share

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The Universal Decompositional Semantics Dataset and Decomp Toolkit

We present the Universal Decompositional Semantics (UDS) dataset (v1.0),...
09/30/2019 ∙ by Aaron Steven White, et al. ∙ 0 ∙ share

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Broad-Coverage Semantic Parsing as Transduction

We unify different broad-coverage semantic parsing tasks under a transdu...
09/05/2019 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from

The derivation of physical laws is a dominant topic in scientific resear...
07/17/2019 ∙ by Sheng Zhang, et al. ∙ 23 ∙ share

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Robust data-driven discovery of governing physical laws using a new subsampling-based sparse Bayesian method to tackle four challenges (large noise, outliers, data integration,

The derivation of physical laws is a dominant topic in scientific resear...
07/17/2019 ∙ by Sheng Zhang, et al. ∙ 6 ∙ share

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Neural Machine Reading Comprehension: Methods and Trends

Machine Reading Comprehension (MRC), which requires the machine to answe...
07/02/2019 ∙ by Shanshan Liu, et al. ∙ 0 ∙ share

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Omnidirectional Scene Text Detection with Sequential-free Box Discretization

Scene text in the wild is commonly presented with high variant character...
06/06/2019 ∙ by Yuliang Liu, et al. ∙ 0 ∙ share

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Finite-Time Analysis of Q-Learning with Linear Function Approximation

In this paper, we consider the model-free reinforcement learning problem...
05/27/2019 ∙ by Zaiwei Chen, et al. ∙ 0 ∙ share

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AMR Parsing as Sequence-to-Graph Transduction

We propose an attention-based model that treats AMR parsing as sequence-...
05/21/2019 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Unsupervised Deep Structured Semantic Models for Commonsense Reasoning

Commonsense reasoning is fundamental to natural language understanding. ...
04/03/2019 ∙ by Shuohang Wang, et al. ∙ 0 ∙ share

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Learning to Detect Instantaneous Changes with Retrospective Convolution and Static Sample Synthesis

Change detection has been a challenging visual task due to the dynamic n...
11/20/2018 ∙ by Chao Chen, et al. ∙ 0 ∙ share

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ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension

We present a large-scale dataset, ReCoRD, for machine reading comprehens...
10/30/2018 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction

Cross-lingual information extraction (CLIE) is an important and challeng...
05/21/2018 ∙ by Hongyuan Mei, et al. ∙ 0 ∙ share

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Cross-lingual Semantic Parsing

We introduce the task of cross-lingual semantic parsing: mapping content...
04/21/2018 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds

Fine-grained entity typing is the task of assigning fine-grained semanti...
04/21/2018 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Neural Davidsonian Semantic Proto-role Labeling

We present state-of-the-art results for semantic proto-role labeling (SP...
04/21/2018 ∙ by Rachel Rudinger, et al. ∙ 0 ∙ share

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FPGA Implementations of 3D-SIMD Processor Architecture for Deep Neural Networks Using Relative Indexed Compressed Sparse Filter Encoding Format and Stacked Filters Stationary F

It is a challenging task to deploy computationally and memory intensive ...
03/28/2018 ∙ by Yuechao Gao, et al. ∙ 0 ∙ share

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Towards Reliable (and Efficient) Job Executions in a Practical Geo-distributed Data Analytics System

Geo-distributed data analytics are increasingly common to derive useful ...
02/01/2018 ∙ by Xiaoda Zhang, et al. ∙ 0 ∙ share

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Stacked Filters Stationary Flow For Hardware-Oriented Acceleration Of Deep Convolutional Neural Networks

To address memory and computation resource limitations for hardware-orie...
01/23/2018 ∙ by Yuechao Gao, et al. ∙ 0 ∙ share

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Random Euler Complex-Valued Nonlinear Filters

Over the last decade, both the neural network and kernel adaptive filter...
01/02/2018 ∙ by Jiashu Zhang, et al. ∙ 0 ∙ share

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Feature Enhancement Network: A Refined Scene Text Detector

In this paper, we propose a refined scene text detector with a novel Fea...
11/12/2017 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Deep Generalized Canonical Correlation Analysis

We present Deep Generalized Canonical Correlation Analysis (DGCCA) -- a ...
02/08/2017 ∙ by Adrian Benton, et al. ∙ 0 ∙ share

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Ordinal Common-sense Inference

Humans have the capacity to draw common-sense inferences from natural la...
11/02/2016 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Randomized Structural Sparsity based Support Identification with Applications to Locating Activated or Discriminative Brain Areas: A Multi-center Reproducibility Study

In this paper, we focus on how to locate the relevant or discriminative ...
06/07/2015 ∙ by Yilun Wang, et al. ∙ 0 ∙ share

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Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification

In this paper, we consider voxel selection for functional Magnetic Reson...
10/17/2014 ∙ by Yilun Wang, et al. ∙ 0 ∙ share

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Sheng Zhang

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