research
∙
07/08/2019
Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
Multiple sequence to sequence models were used to establish an end-to-en...
share
research
∙
07/02/2019
An End-to-End Neural Network for Image Cropping by Learning Composition from Aesthetic Photos
As one of the fundamental techniques for image editing, image cropping d...
research
∙
07/01/2019
Improving Performance of End-to-End ASR on Numeric Sequences
Recognizing written domain numeric utterances (e.g. I need 1.25.) can be...
research
∙
05/18/2019
Variational Hetero-Encoder Randomized Generative Adversarial Networks for Joint Image-Text Modeling
For bidirectional joint image-text modeling, we develop variational hete...
research
∙
05/15/2019
Constrained low-tubal-rank tensor recovery for hyperspectral images mixed noise removal by bilateral random projections
In this paper, we propose a novel low-tubal-rank tensor recovery model, ...
research
∙
03/27/2019
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
We treat shape co-segmentation as a representation learning problem and ...
research
∙
03/25/2019
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss
We introduce CoSegNet, a deep neural network architecture for co-segment...
research
∙
03/25/2019
LOGAN: Unpaired Shape Transform in Latent Overcomplete Space
We present LOGAN, a deep neural network aimed at learning generic shape ...
research
∙
02/27/2019
Alternating Synthetic and Real Gradients for Neural Language Modeling
Training recurrent neural networks (RNNs) with backpropagation through t...
research
∙
02/27/2019
Can learning from natural image denoising be used for seismic data interpolation?
We propose a convolutional neural network (CNN) denoising based method f...
research
∙
01/28/2019
Complex-Valued Neural Networks for Privacy Protection
This paper proposes a generic method to revise traditional neural networ...
research
∙
12/06/2018
Learning Implicit Fields for Generative Shape Modeling
We advocate the use of implicit fields for learning generative models of...
research
∙
11/19/2018
Learning to Generate the "Unseen" via Part Synthesis and Composition
Data-driven generative modeling has made remarkable progress by leveragi...
research
∙
10/31/2018
Nearly-tight bounds on linear regions of piecewise linear neural networks
The developments of deep neural networks (DNN) in recent years have ushe...
research
∙
10/26/2018
Deep Poisson gamma dynamical systems
We develop deep Poisson-gamma dynamical systems (DPGDS) to model sequent...
research
∙
10/09/2018
Event Representation through Semantic Roles: Evaluation of Coverage
Semantic role theory is a widely used approach for event representation....
research
∙
10/09/2018
Towards Verifying Semantic Roles Co-occurrence
Semantic role theory considers roles as a small universal set of unanaly...
research
∙
10/08/2018
Toward Understanding the Impact of Staleness in Distributed Machine Learning
Many distributed machine learning (ML) systems adopt the non-synchronous...
research
∙
10/07/2018
Hartley Spectral Pooling for Deep Learning
In most convolution neural networks (CNNs), downsampling hidden layers i...
research
∙
10/04/2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization
Many machine learning problems involve iteratively and alternately optim...
research
∙
09/14/2018
SCORES: Shape Composition with Recursive Substructure Priors
We introduce SCORES, a recursive neural network for shape composition. O...
research
∙
09/12/2018
Effective Predictions of Gaokao Admission Scores for College Applications in Mainland China
Gaokao is the annual academic qualification examination for college admi...
research
∙
09/12/2018
Semantic WordRank: Generating Finer Single-Document Summarizations
We present Semantic WordRank (SWR), an unsupervised method for generatin...
research
∙
09/08/2018
Dual-label Deep LSTM Dereverberation For Speaker Verification
In this paper, we present a reverberation removal approach for speaker v...
research
∙
09/03/2018
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
The Fact Extraction and VERification (FEVER) shared task was launched to...
research
∙
08/07/2018
SketchyScene: Richly-Annotated Scene Sketches
We contribute the first large-scale dataset of scene sketches, SketchySc...
research
∙
07/24/2018
GRAINS: Generative Recursive Autoencoders for INdoor Scenes
We present a generative neural network which enables us to generate plau...
research
∙
05/30/2018
The VIREO KIS at VBS 2018
This short paper presents the video browsing tool of VIREO team which ha...
research
∙
04/18/2018
Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines
We present a semi-supervised co-analysis method for learning 3D shape st...
research
∙
04/14/2018
On the Selection of Anchors and Targets for Video Hyperlinking
A problem not well understood in video hyperlinking is what qualifies a ...
research
∙
03/25/2018
P2P-NET: Bidirectional Point Displacement Net for Shape Transform
We introduce P2P-NET, a general-purpose deep neural network which learns...
research
∙
03/25/2018
P2P-NET: Bidirectional Point Displacement Network for Shape Transform
We introduce P2P-NET, a general-purpose deep neural network which learns...
research
∙
03/22/2018
Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning
We introduce BranchGAN, a novel training method that enables uncondition...
research
∙
03/04/2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
To train an inference network jointly with a deep generative topic model...
research
∙
02/26/2018
Modeling Precipitation Extremes using Log-Histospline
One of the commonly used approaches to modeling univariate extremes is t...
research
∙
01/07/2018
High-throughput, high-resolution Generated Adversarial Network Microscopy
We for the first time combine generated adversarial network (GAN) with w...
research
∙
12/11/2017
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks
Recent deep learning (DL) models have moved beyond static network archit...
research
∙
11/02/2017
Structured Generative Adversarial Networks
We study the problem of conditional generative modeling based on designa...
research
∙
10/01/2017
Efficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality
Our task is to generate an effective summary for a given document with s...
research
∙
09/28/2017
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning
Developing a safe and efficient collision avoidance policy for multiple ...
research
∙
08/01/2017
Generative Semantic Manipulation with Contrasting GAN
Generative Adversarial Networks (GANs) have recently achieved significan...
research
∙
06/11/2017
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Deep learning models can take weeks to train on a single GPU-equipped ma...
research
∙
05/05/2017
GRASS: Generative Recursive Autoencoders for Shape Structures
We introduce a novel neural network architecture for encoding and synthe...
research
∙
04/08/2017
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
Conditional Generative Adversarial Networks (GANs) for cross-domain imag...
research
∙
03/26/2017
SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays
Chest X-ray (CXR) is one of the most commonly prescribed medical imaging...
research
∙
03/21/2017
ZM-Net: Real-time Zero-shot Image Manipulation Network
Many problems in image processing and computer vision (e.g. colorization...
research
∙
03/21/2017
Recurrent Topic-Transition GAN for Visual Paragraph Generation
A natural image usually conveys rich semantic content and can be viewed ...
research
∙
02/24/2017
Sequence-based Multimodal Apprenticeship Learning For Robot Perception and Decision Making
Apprenticeship learning has recently attracted a wide attention due to i...
research
∙
02/24/2017
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...
research
∙
06/29/2016
