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May 25, 2017
By dcard
Machine Learning
Computation and Language

We have presented a neural framework for generalized topic models to enable rapid exploration of models with covariates, interactions, and customized regularizers. We take advantage of sampling-based variational inference to develop a general algori…

A Neural Framework for Generalized Topic Models

Topic models for text corpora comprise a popular family of methods that have inspired many extensions to encode properties such as sparsity, interact…
Sep 19, 2018
By zbc102
Cryptography and Security
Programming Languages

Program Analysis of Commodity IoT Applications for Security and Priva…

Recent advances in Internet of Things (IoT) have enabled myriad domains such as smart homes, personal monitoring devices, and enhanced manufacturing.…
Jan 25, 2019
By chanlaw
Machine Learning
Artificial Intelligence

The Assistive Multi-Armed Bandit

Learning preferences implicit in the choices humans make is a well studied problem in both economics and computer science. However, most work makes t…
Oct 30, 2017
Computation and Language

Simple and Effective Multi-Paragraph Reading Comprehension

We consider the problem of adapting neural paragraph-level question answering models to the case where entire documents are given as input. Our propo…
May 10, 2018
Computation and Language
Artificial Intelligence
Machine Learning

Long Short-Term Memory as a Dynamically Computed Element-wise Weighte…

LSTMs were introduced to combat vanishing gradients in simple RNNs by augmenting them with gated additive recurrent connections. We present an altern…
Mar 06, 2019
By k
Computation and Language
Computer Vision
Machine Learning
Neural and Evolutionary Computation
Robotics

Tactical Rewind: Self-Correction via Backtracking in Vision-and-Langu…

We present FAST NAVIGATOR, a general framework for action decoding, which yields state-of-the-art results on the recent Room-to-Room (R2R) Vision-and…
Feb 08, 2019
Machine Learning
Optimization and Control

A Smoother Way to Train Structured Prediction Models

We present a framework to train a structured prediction model by performing smoothing on the inference algorithm it builds upon. Smoothing overcomes …
Aug 21, 2018
By eunsol
Computation and Language
Artificial Intelligence
Machine Learning

QuAC : Question Answering in Context

We present QuAC, a dataset for Question Answering in Context that contains 14K information-seeking QA dialogs (100K questions in total). The interact…
Feb 16, 2019
By yufeng
Cryptography and Security

Precise Attack Synthesis for Smart Contracts

Smart contracts are programs running on top of blockchain platforms. They interact with each other through well-defined interfaces to perform financi…
Sep 23, 2018
By sham
Optimization and Control
Machine Learning

Overloading the Library Functions: It is not difficult to see that piecewise univariate functions can be implemented in our library.

Provably Correct Automatic Subdifferentiation for Qualified Programs

The Cheap Gradient Principle (Griewank 2008) --- the computational cost of computing the gradient of a scalar-valued function is nearly the same (oft…
Mar 05, 2017
Robotics
Computer Vision

Perceiving and Reasoning About Liquids Using Fully Convolutional Ne…

Liquids are an important part of many common manipulation tasks in human environments. If we wish to have robots that can accomplish these types of t…
Mar 21, 2013
By karna
Machine Learning
Optimization and Control

Node-Based Learning of Multiple Gaussian Graphical Models

We consider the problem of estimating high-dimensional Gaussian graphical models corresponding to a single set of variables under several distinct co…
Mar 06, 2019
By yij021
Signal Processing
Information Theory

DeepTurbo: Deep Turbo Decoder

Present-day communication systems routinely use codes that approach the channel capacity when coupled with a computationally efficient decoder. Howev…
Feb 02, 2019
By mhahn2
Computation and Language

Character-based Surprisal as a Model of Human Reading in the Presence…

Intuitively, human readers cope easily with errors in text; typos, misspelling, word substitutions, etc. do not unduly disrupt natural reading. Previ…
Oct 07, 2018
Computation and Language
Artificial Intelligence

FlowQA: Grasping Flow in History for Conversational Machine Compreh…

Conversational machine comprehension requires a deep understanding of the conversation history. To enable traditional, single-turn models to encode t…
Mar 01, 2014
Machine Learning
Computation
Methodology

Learning Graphical Models With Hubs

We consider the problem of learning a high-dimensional graphical model in which certain hub nodes are highly-connected to many other nodes. Many auth…
Mar 26, 2018
Computation and Language

StaQC: A Systematically Mined Question-Code Dataset from Stack Overfl…

Stack Overflow (SO) has been a great source of natural language questions and their code solutions (i.e., question-code pairs), which are critical fo…
Nov 23, 2016
By maazsaf
Programming Languages
Databases
Distributed
Parallel
and Cluster Computing

Leveraging Parallel Data Processing Frameworks with Verified Lifting

Many parallel data frameworks have been proposed in recent years that let sequential programs access parallel processing. To capitalize on the benefi…
May 18, 2017
Conferences: ICRA
Computer Vision

Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of …

Robust object tracking requires knowledge and understanding of the object being tracked: its appearance, its motion, and how it changes over time. A …
Aug 31, 2016
Artificial Intelligence
Programming Languages

A Programming Language With a POMDP Inside

We present POAPS, a novel planning system for defining Partially Observable Markov Decision Processes (POMDPs) that abstracts away from POMDP details…
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