Yu Zhang

Policy Optimization with Stochastic Mirror Descent

Stochastic mirror descent (SMD) keeps the advantages of simplicity of im...
06/25/2019 ∙ by Long Yang, et al. ∙ 16 ∙ share

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SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

We present SpecAugment, a simple data augmentation method for speech rec...
04/18/2019 ∙ by Daniel S. Park, et al. ∙ 16 ∙ share

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Deep Multi-Task Learning via Generalized Tensor Trace Norm

The trace norm is widely used in multi-task learning as it can discover ...
02/12/2020 ∙ by Yi Zhang, et al. ∙ 16 ∙ share

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Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network

Deep multi-task learning attracts much attention in recent years as it a...
02/12/2020 ∙ by Pengxin Guo, et al. ∙ 15 ∙ share

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Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Lingvo is a Tensorflow framework offering a complete solution for collab...
02/21/2019 ∙ by Jonathan Shen, et al. ∙ 13 ∙ share

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Learning deep neural networks in blind deblurring framework

Recently, end-to-end learning methods based on deep neural network (DNN)...
03/07/2019 ∙ by Junde Wu, et al. ∙ 12 ∙ share

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HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories

GitHub has become an important platform for code sharing and scientific ...
10/16/2019 ∙ by Yu Zhang, et al. ∙ 11 ∙ share

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Fisher Deep Domain Adaptation

Deep domain adaptation models learn a neural network in an unlabeled tar...
03/12/2020 ∙ by Yinghua Zhang, et al. ∙ 10 ∙ share

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Self-supervised Image Enhancement Network: Training with Low Light Images Only

This paper proposes a self-supervised low light image enhancement method...
02/26/2020 ∙ by Yu Zhang, et al. ∙ 8 ∙ share

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Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text

Collaborative filtering (CF) is the key technique for recommender system...
01/22/2019 ∙ by Guangneng Hu, et al. ∙ 6 ∙ share

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CF2-Net: Coarse-to-Fine Fusion Convolutional Network for Breast Ultrasound Image Segmentation

Breast ultrasound (BUS) image segmentation plays a crucial role in a com...
03/23/2020 ∙ by Zhenyuan Ning, et al. ∙ 6 ∙ share

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Complementary Segmentation of Primary Video Objects with Reversible Flows

Segmenting primary objects in a video is an important yet challenging pr...
11/23/2018 ∙ by Jia Li, et al. ∙ 4 ∙ share

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RGB-D SLAM in Dynamic Environments Using Points Correlations

This paper proposed a novel RGB-D SLAM method for dynamic environments. ...
11/08/2018 ∙ by Weichen Dai, et al. ∙ 4 ∙ share

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Multi-Spectral Visual Odometry without Explicit Stereo Matching

Multi-spectral sensors consisting of a standard (visible-light) camera a...
08/23/2019 ∙ by Weichen Dai, et al. ∙ 3 ∙ share

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Training RNNs as Fast as CNNs

Common recurrent neural network architectures scale poorly due to the in...
09/08/2017 ∙ by Tao Lei, et al. ∙ 0 ∙ share

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Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior

Click Through Rate(CTR) prediction is vital for online advertising syste...
11/17/2017 ∙ by Tiezheng Ge, et al. ∙ 0 ∙ share

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Learning Graphical Models from a Distributed Stream

A current challenge for data management systems is to support the constr...
10/05/2017 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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A Survey on Multi-Task Learning

Multi-Task Learning (MTL) is a learning paradigm in machine learning and...
07/25/2017 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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AI Challenges in Human-Robot Cognitive Teaming

Among the many anticipated roles for robots in the future is that of bei...
07/15/2017 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Learning to Transfer

Transfer learning borrows knowledge from a source domain to facilitate l...
08/18/2017 ∙ by Ying Wei, et al. ∙ 0 ∙ share

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Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy

When AI systems interact with humans in the loop, they are often called ...
01/28/2017 ∙ by Tathagata Chakraborti, et al. ∙ 0 ∙ share

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Explicablility as Minimizing Distance from Expected Behavior

In order to have effective human AI collaboration, it is not simply enou...
11/16/2016 ∙ by Anagha Kulkarni, et al. ∙ 0 ∙ share

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Causes and Corrections for Bimodal Multipath Scanning with Structured Light

Structured light illumination is an active 3-D scanning technique based ...
06/08/2017 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Structured Light Phase Measuring Profilometry Pattern Design for Binary Spatial Light Modulators

Structured light illumination is an active 3-D scanning technique based ...
06/08/2017 ∙ by Daniel L. Lau, et al. ∙ 0 ∙ share

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Proactive Decision Support using Automated Planning

Proactive decision support (PDS) helps in improving the decision making ...
06/24/2016 ∙ by Satya Gautam Vadlamudi, et al. ∙ 0 ∙ share

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Plan Explicability and Predictability for Robot Task Planning

Intelligent robots and machines are becoming pervasive in human populate...
11/25/2015 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Sequence-based Multimodal Apprenticeship Learning For Robot Perception and Decision Making

Apprenticeship learning has recently attracted a wide attention due to i...
02/24/2017 ∙ by Fei Han, et al. ∙ 0 ∙ share

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Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors

Robot awareness of human actions is an essential research problem in rob...
02/24/2017 ∙ by Fei Han, et al. ∙ 0 ∙ share

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Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications

This paper studies the problem of multivariate linear regression where a...
01/11/2017 ∙ by Xiaowei Zhang, et al. ∙ 0 ∙ share

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Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator

We introduce the concept of a Visual Compiler that generates a scene spe...
12/15/2016 ∙ by Namhoon Lee, et al. ∙ 0 ∙ share

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Plan or not: Remote Human-robot Teaming with Incomplete Task Information

Human-robot interaction can be divided into two categories based on the ...
12/09/2014 ∙ by Vignesh Narayanan, et al. ∙ 0 ∙ share

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Learning of Agent Capability Models with Applications in Multi-agent Planning

One important challenge for a set of agents to achieve more efficient co...
11/04/2014 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Learning to Search on Manifolds for 3D Pose Estimation of Articulated Objects

This paper focuses on the challenging problem of 3D pose estimation of a...
12/02/2016 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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A Formal Analysis of Required Cooperation in Multi-agent Planning

Research on multi-agent planning has been popular in recent years. While...
04/22/2014 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups

Pose estimation, tracking, and action recognition of articulated objects...
09/13/2016 ∙ by Chi Xu, et al. ∙ 0 ∙ share

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Storm Detection by Visual Learning Using Satellite Images

Computers are widely utilized in today's weather forecasting as a powerf...
03/01/2016 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Multi-Domain Collaborative Filtering

Collaborative filtering is an effective recommendation approach in which...
03/15/2012 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Reputation-based Incentive Protocols in Crowdsourcing Applications

Crowdsourcing websites (e.g. Yahoo! Answers, Amazon Mechanical Turk, and...
08/10/2011 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Electricity Market Forecasting via Low-Rank Multi-Kernel Learning

The smart grid vision entails advanced information technology and data a...
10/02/2013 ∙ by Vassilis Kekatos, et al. ∙ 0 ∙ share

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Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis

Canonical correlation analysis (CCA) has been one of the most popular me...
08/26/2013 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Exploit Bounding Box Annotations for Multi-label Object Recognition

Convolutional neural networks (CNNs) have shown great performance as gen...
04/22/2015 ∙ by Hao Yang, et al. ∙ 0 ∙ share

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Weakly Supervised Fine-Grained Image Categorization

In this paper, we categorize fine-grained images without using any objec...
04/20/2015 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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A Convex Formulation for Learning Task Relationships in Multi-Task Learning

Multi-task learning is a learning paradigm which seeks to improve the ge...
03/15/2012 ∙ by Yu Zhang, et al. ∙ 0 ∙ share

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Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction

Very often data we encounter in practice is a collection of matrices rat...
12/17/2012 ∙ by Guoxu Zhou, et al. ∙ 0 ∙ share

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Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems

Training a personalized dialogue system requires a lot of data, and the ...
11/11/2017 ∙ by Kaixiang Mo, et al. ∙ 0 ∙ share

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Integrating User and Agent Models: A Deep Task-Oriented Dialogue System

Task-oriented dialogue systems can efficiently serve a large number of c...
11/10/2017 ∙ by Weiyan Wang, et al. ∙ 0 ∙ share

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Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning

Extracting relations from text corpora is an important task in text mini...
11/09/2017 ∙ by Meng Qu, et al. ∙ 0 ∙ share

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Flexible End-to-End Dialogue System for Knowledge Grounded Conversation

In knowledge grounded conversation, domain knowledge plays an important ...
09/13/2017 ∙ by Wenya Zhu, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation for Robust Speech Recognition via Variational Autoencoder-Based Data Augmentation

Domain mismatch between training and testing can lead to significant deg...
07/19/2017 ∙ by Wei-Ning Hsu, et al. ∙ 0 ∙ share

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Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM

We present a state-of-the-art end-to-end Automatic Speech Recognition (A...
06/08/2017 ∙ by Takaaki Hori, et al. ∙ 0 ∙ share

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Yu Zhang

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