Petuum, Inc.

∙ Pittsburgh , United States ∙ 0 followers

Petuum, Inc. is a startup building a revolutionary artificial intelligence (AI) and machine learning (ML) solution development platform.

research

∙ 11/19/2018

Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures

We study the problem of alleviating the instability issue in the GAN tra...

Hongyang Zhang, et al. ∙

research

∙ 03/25/2019

Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

Generating long and semantic-coherent reports to describe medical images...

Christy Y. Li, et al. ∙

research

∙ 01/28/2019

Toward Unsupervised Text Content Manipulation

Controlled generation of text is of high practical use. Recent efforts h...

Wentao Wang, et al. ∙

research

∙ 06/26/2018

Deep Generative Models with Learnable Knowledge Constraints

The broad set of deep generative models (DGMs) has achieved remarkable a...

Zhiting Hu, et al. ∙

research

∙ 11/25/2017

Learning Less-Overlapping Representations

In representation learning (RL), how to make the learned representations...

Pengtao Xie, et al. ∙

research

∙ 11/23/2017

Diversity-Promoting Bayesian Learning of Latent Variable Models

To address three important issues involved in latent variable models (LV...

Pengtao Xie, et al. ∙

research

∙ 11/22/2017

On the Automatic Generation of Medical Imaging Reports

Medical imaging is widely used in clinical practice for diagnosis and tr...

Baoyu Jing, et al. ∙

research

∙ 06/02/2017

On Unifying Deep Generative Models

Deep generative models have achieved impressive success in recent years....

Zhiting Hu, et al. ∙

research

∙ 08/01/2017

Dual Motion GAN for Future-Flow Embedded Video Prediction

Future frame prediction in videos is a promising avenue for unsupervised...

Xiaodan Liang, et al. ∙

research

∙ 03/21/2017

ZM-Net: Real-time Zero-shot Image Manipulation Network

Many problems in image processing and computer vision (e.g. colorization...

Hao Wang, et al. ∙

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...

Wei Dai, et al. ∙

research

∙ 11/21/2017

Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition

Biomedical named entity recognition (NER) is a fundamental task in text ...

Devendra Singh Sachan, et al. ∙

research

∙ 03/16/2018

Dynamic-structured Semantic Propagation Network

Semantic concept hierarchy is still under-explored for semantic segmenta...

Xiaodan Liang, et al. ∙

research

∙ 09/01/2018

Parameter Sharing Methods for Multilingual Self-Attentional Translation Models

In multilingual neural machine translation, it has been shown that shari...

Devendra Singh Sachan, et al. ∙

research

∙ 11/20/2018

Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records

Extractive summarization is very useful for physicians to better manage ...

Xiangan Liu, et al. ∙

research

∙ 11/24/2018

Connecting the Dots Between MLE and RL for Sequence Generation

Sequence generation models such as recurrent networks can be trained wit...

Bowen Tan, et al. ∙

research

∙ 05/28/2019

Target-Guided Open-Domain Conversation

Many real-world open-domain conversation applications have specific goal...

Jianheng Tang, et al. ∙

Petuum, Inc.

Featured Researchers

Eric P Xing

Eric Xing

Hao Zhang

Pengtao Xie

Wei Dai

Devendra Singh Sachan

Nanqing Dong

Baoyu Jing

Hongbao Zhang

Joseph Doyle

Xiangan Liu

Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-Generator Architectures

Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation

Toward Unsupervised Text Content Manipulation

Deep Generative Models with Learnable Knowledge Constraints

Learning Less-Overlapping Representations

Diversity-Promoting Bayesian Learning of Latent Variable Models

On the Automatic Generation of Medical Imaging Reports

On Unifying Deep Generative Models

Dual Motion GAN for Future-Flow Embedded Video Prediction

ZM-Net: Real-time Zero-shot Image Manipulation Network

SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-rays

Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition

Dynamic-structured Semantic Propagation Network

Parameter Sharing Methods for Multilingual Self-Attentional Translation Models

Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records

Connecting the Dots Between MLE and RL for Sequence Generation

Target-Guided Open-Domain Conversation