Eric P Xing

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Petuum, Inc. ∙ Carnegie Mellon University

Professor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon University

Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels

The data-driven nature of deep learning models for semantic segmentation...
11/28/2020 ∙ by Nanqing Dong, et al. ∙ 3 ∙ share

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Squared ℓ_2 Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations

Data augmentation is one of the most popular techniques for improving th...
11/25/2020 ∙ by Haohan Wang, et al. ∙ 0 ∙ share

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Iterative Graph Self-Distillation

How to discriminatively vectorize graphs is a fundamental challenge that...
10/23/2020 ∙ by Hanlin Zhang, et al. ∙ 2 ∙ share

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Word Shape Matters: Robust Machine Translation with Visual Embedding

Neural machine translation has achieved remarkable empirical performance...
10/20/2020 ∙ by Haohan Wang, et al. ∙ 6 ∙ share

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Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach

Given a document and a target aspect (e.g., a topic of interest), aspect...
10/14/2020 ∙ by Bowen Tan, et al. ∙ 0 ∙ share

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Self-Challenging Improves Cross-Domain Generalization

Convolutional Neural Networks (CNN) conduct image classification by acti...
07/05/2020 ∙ by Zeyi Huang, et al. ∙ 0 ∙ share

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On Dropout, Overfitting, and Interaction Effects in Deep Neural Networks

We examine Dropout through the perspective of interactions: learned effe...
07/02/2020 ∙ by Benjamin Lengerich, et al. ∙ 0 ∙ share

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Progressive Generation of Long Text

Large-scale language models pretrained on massive corpora of text, such ...
06/28/2020 ∙ by Bowen Tan, et al. ∙ 0 ∙ share

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Improving GAN Training with Probability Ratio Clipping and Sample Reweighting

Despite success on a wide range of problems related to vision, generativ...
06/12/2020 ∙ by Yue Wu, et al. ∙ 15 ∙ share

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Distributed, partially collapsed MCMC for Bayesian Nonparametrics

Bayesian nonparametric (BNP) models provide elegant methods for discover...
01/15/2020 ∙ by Avinava Dubey, et al. ∙ 33 ∙ share

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Learning Data Manipulation for Augmentation and Weighting

Manipulating data, such as weighting data examples or augmenting with ne...
10/28/2019 ∙ by Zhiting Hu, et al. ∙ 30 ∙ share

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Learning Sample-Specific Models with Low-Rank Personalized Regression

Modern applications of machine learning (ML) deal with increasingly hete...
10/15/2019 ∙ by Benjamin Lengerich, et al. ∙ 37 ∙ share

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Learning Sparse Nonparametric DAGs

We develop a framework for learning sparse nonparametric directed acycli...
09/29/2019 ∙ by Xun Zheng, et al. ∙ 18 ∙ share

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ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations

We describe ChemBO, a Bayesian Optimization framework for generating and...
08/05/2019 ∙ by Ksenia Korovina, et al. ∙ 0 ∙ share

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Learning Robust Global Representations by Penalizing Local Predictive Power

Despite their renowned predictive power on i.i.d. data, convolutional ne...
05/29/2019 ∙ by Haohan Wang, et al. ∙ 4 ∙ share

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High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

We investigate the relationship between the frequency spectrum of image ...
05/28/2019 ∙ by Haohan Wang, et al. ∙ 0 ∙ share

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Adversarial Domain Adaptation Being Aware of Class Relationships

Adversarial training is a useful approach to promote the learning of tra...
05/28/2019 ∙ by Zeya Wang, et al. ∙ 1 ∙ share

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Target-Guided Open-Domain Conversation

Many real-world open-domain conversation applications have specific goal...
05/28/2019 ∙ by Jianheng Tang, et al. ∙ 0 ∙ share

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

Generating long and semantic-coherent reports to describe medical images...
03/25/2019 ∙ by Christy Y. Li, et al. ∙ 8 ∙ share

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Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

Bayesian Optimisation (BO), refers to a suite of techniques for global o...
03/15/2019 ∙ by Kirthevasan Kandasamy, et al. ∙ 14 ∙ share

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Theoretically Principled Trade-off between Robustness and Accuracy

We identify a trade-off between robustness and accuracy that serves as a...
01/24/2019 ∙ by Hongyang Zhang, et al. ∙ 5 ∙ share

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

We study the problem of alleviating the instability issue in the GAN tra...
11/19/2018 ∙ by Hongyang Zhang, et al. ∙ 8 ∙ share

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Discourse in Multimedia: A Case Study in Information Extraction

To ensure readability, text is often written and presented with due form...
11/13/2018 ∙ by Mrinmaya Sachan, et al. ∙ 0 ∙ share

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Fault Tolerance in Iterative-Convergent Machine Learning

Machine learning (ML) training algorithms often possess an inherent self...
10/17/2018 ∙ by Aurick Qiao, et al. ∙ 0 ∙ share

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Toward Understanding the Impact of Staleness in Distributed Machine Learning

Many distributed machine learning (ML) systems adopt the non-synchronous...
10/08/2018 ∙ by Wei Dai, et al. ∙ 2 ∙ share

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Sample Complexity of Nonparametric Semi-Supervised Learning

We study the sample complexity of semi-supervised learning (SSL) and int...
09/10/2018 ∙ by Chen Dan, et al. ∙ 0 ∙ share

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What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks

Nature language inference (NLI) task is a predictive task of determining...
09/07/2018 ∙ by Haohan Wang, et al. ∙ 0 ∙ share

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Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

We introduce Texar, an open-source toolkit aiming to support the broad s...
09/04/2018 ∙ by Zhiting Hu, et al. ∙ 0 ∙ share

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Hybrid Subspace Learning for High-Dimensional Data

The high-dimensional data setting, in which p >> n, is a challenging sta...
08/05/2018 ∙ by Micol Marchetti-Bowick, et al. ∙ 0 ∙ share

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Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images

Convolutional neural networks have led to significant breakthroughs in t...
07/29/2018 ∙ by Nanqing Dong, et al. ∙ 0 ∙ share

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Query-Conditioned Three-Player Adversarial Network for Video Summarization

Video summarization plays an important role in video understanding by se...
07/17/2018 ∙ by Yujia Zhang, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio

The cardiothoracic ratio (CTR), a clinical metric of heart size in chest...
07/10/2018 ∙ by Nanqing Dong, et al. ∙ 2 ∙ share

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Unsupervised Text Style Transfer using Language Models as Discriminators

Binary classifiers are often employed as discriminators in GAN-based uns...
05/30/2018 ∙ by Zichao Yang, et al. ∙ 0 ∙ share

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Rethinking Knowledge Graph Propagation for Zero-Shot Learning

The potential of graph convolutional neural networks for the task of zer...
05/29/2018 ∙ by Michael Kampffmeyer, et al. ∙ 0 ∙ share

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Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

Generating long and coherent reports to describe medical images poses ch...
05/21/2018 ∙ by Christy Y. Li, et al. ∙ 0 ∙ share

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Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching

Cellular Electron CryoTomography (CECT) is a 3D imaging technique that c...
05/12/2018 ∙ by Kai Wen Wang, et al. ∙ 0 ∙ share

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DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization

The large amount of videos popping up every day, make it is more and mor...
04/30/2018 ∙ by Yujia Zhang, et al. ∙ 0 ∙ share

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ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation

Salient segmentation aims to segment out attention-grabbing regions, a c...
04/20/2018 ∙ by Michael Kampffmeyer, et al. ∙ 0 ∙ share

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Fair Deep Learning Prediction for Healthcare Applications with Confounder Filtering

The rapid development of deep learning methods has permitted the fast an...
03/20/2018 ∙ by Zhenglin Wu, et al. ∙ 0 ∙ share

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DAGs with NO TEARS: Smooth Optimization for Structure Learning

Estimating the structure of directed acyclic graphs (DAGs, also known as...
03/04/2018 ∙ by Xun Zheng, et al. ∙ 0 ∙ share

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Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis

Distance metric learning (DML), which learns a distance metric from labe...
02/16/2018 ∙ by Pengtao Xie, et al. ∙ 0 ∙ share

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DiCE: The Infinitely Differentiable Monte-Carlo Estimator

The score function estimator is widely used for estimating gradients of ...
02/14/2018 ∙ by Jakob Foerster, et al. ∙ 0 ∙ share

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Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering

Motivated by problems in data clustering, we establish general condition...
02/12/2018 ∙ by Bryon Aragam, et al. ∙ 0 ∙ share

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Transformation Autoregressive Networks

The fundamental task of general density estimation has been of keen inte...
01/30/2018 ∙ by Junier B. Oliva, et al. ∙ 0 ∙ share

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Personalized Survival Prediction with Contextual Explanation Networks

Accurate and transparent prediction of cancer survival times on the leve...
01/30/2018 ∙ by Maruan Al-Shedivat, et al. ∙ 0 ∙ share

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The Intriguing Properties of Model Explanations

Linear approximations to the decision boundary of a complex model have b...
01/30/2018 ∙ by Maruan Al-Shedivat, et al. ∙ 0 ∙ share

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Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption

Recent advances in vision tasks (e.g., segmentation) highly depend on th...
01/05/2018 ∙ by Peilun Li, et al. ∙ 0 ∙ share

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Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder

Unsupervised video summarization plays an important role on digesting, b...
01/02/2018 ∙ by Yujia Zhang, et al. ∙ 0 ∙ share

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Stability Selection for Structured Variable Selection

In variable or graph selection problems, finding a right-sized model or ...
12/13/2017 ∙ by George Philipp, et al. ∙ 0 ∙ share

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Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks

Recent deep learning (DL) models have moved beyond static network archit...
12/11/2017 ∙ by Hao Zhang, et al. ∙ 0 ∙ share

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Eric P Xing

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