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Sep 20, 2016
Sound
Machine Learning
Multimedia

An Approach for Self-Training Audio Event Detectors Using Web Data

Audio Event Detection (AED) aims to recognize sounds within audio and video recordings. AED employs machine learning algorithms commonly trained an...
Sep 12, 2016
By noamb
Computer Science and Game Theory
Artificial Intelligence

Reduced Space and Faster Convergence in Imperfect-Information Games...

Counterfactual Regret Minimization (CFR) is the most popular iterative algorithm for solving zero-sum imperfect-information games. Regret-Based Pru...
Oct 02, 2018
By samemon
Machine Learning

Neural Regression Trees

Regression-via-Classification (RvC) is the process of converting a regression problem to a classification one. Current approaches for RvC use ad-ho...
Oct 04, 2013
By jblocki
Cryptography and Security
Artificial Intelligence

GOTCHA Password Hackers!

We introduce GOTCHAs (Generating panOptic Turing Tests to Tell Computers and Humans Apart) as a way of preventing automated offline dictionary atta...
Nov 05, 2016
By zichaoy
Computation and Language

We introduce reference-aware language models which explicitly model the decision of from where to generate the token at each step. Our model can also learns the decision by treating it as a latent variable. We demonstrate on three applications, ta...

Reference-Aware Language Models

We propose a general class of language models that treat reference as an explicit stochastic latent variable. This architecture allows models to cr...
Nov 20, 2018
Machine Learning

Stackelberg GAN: Towards Provable Minimax Equilibrium via Multi-G...

We study the problem of alleviating the instability issue in the GAN training procedure via new architecture design. The discrepancy between the mi...
Jan 24, 2019
Machine Learning

Theoretically Principled Trade-off between Robustness and Accuracy

We identify a trade-off between robustness and accuracy that serves as a guiding principle in the design of defenses against adversarial examples. ...
Jan 24, 2019
By arora
Machine Learning
Neural and Evolutionary Computation

Fine-Grained Analysis of Optimization and Generalization for Over...

Recent works have cast some light on the mystery of why deep nets fit any data and generalize despite being very overparametrized. This paper analy...
Jan 21, 2019
By sumitsk
Machine Learning
Artificial Intelligence
Robotics

Active Learning with Gaussian Processes for High Throughput Phenoty...

A looming question that must be solved before robotic plant phenotyping capabilities can have significant impact to crop improvement programs is sc...
Jan 31, 2019
By vemula
Machine Learning
Artificial Intelligence
Robotics

Contrasting Exploration in Parameter and Action Space: A Zeroth-Ord...

Black-box optimizers that explore in parameter space have often been shown to outperform more sophisticated action space exploration methods develo...
Nov 22, 2018
Computer Vision
Artificial Intelligence
Machine Learning

Learning from Multiview Correlations in Open-Domain Videos

An increasing number of datasets contain multiple views, such as video, sound and automatic captions. A basic challenge in representation learning ...
Aug 31, 2017
By cszhe1
Computer Vision
Computation and Language

Video Captioning with Guidance of Multimodal Latent Topics

The topic diversity of open-domain videos leads to various vocabularies and linguistic expressions in describing video contents, and therefore, mak...
Jan 07, 2019
Machine Learning
Artificial Intelligence

Generalization in Deep Networks: The Role of Distance from Initia...

Why does training deep neural networks using stochastic gradient descent (SGD) result in a generalization error that does not worsen with the numbe...
Oct 24, 2018
By yulund
Computer Vision
Artificial Intelligence
Human-Computer Interaction

Multimodal Polynomial Fusion for Detecting Driver Distraction

Distracted driving is deadly, claiming 3,477 lives in the U.S. in 2015 alone. Although there has been a considerable amount of research on modeling...
Jan 17, 2019
By tberg
Machine Learning

Lagging Inference Networks and Posterior Collapse in Variational ...

The variational autoencoder (VAE) is a popular combination of deep latent variable model and accompanying variational learning technique. By using ...
Aug 02, 2018
Computer Vision

Adaptive Temporal Encoding Network for Video Instance-level Human ...

Beyond the existing single-person and multiple-person human parsing tasks in static images, this paper makes the first attempt to investigate a mor...
Oct 07, 2017
By umang
Computers and Society

Intelligent Pothole Detection and Road Condition Assessment

Poor road conditions are a public nuisance, causing passenger discomfort, damage to vehicles, and accidents. In the U.S., road-related conditions a...
Mar 30, 2017
By srijan
Social and Information Networks
Artificial Intelligence
Machine Learning

FairJudge: Trustworthy User Prediction in Rating Platforms

Rating platforms enable large-scale collection of user opinion about items (products, other users, etc.). However, many untrustworthy users give fr...
Mar 20, 2018
Machine Learning

Fair Deep Learning Prediction for Healthcare Applications with Co...

The rapid development of deep learning methods has permitted the fast and accurate medical decision making from complex structured data, like CT im...
Sep 25, 2015
Machine Learning

Linear-time Learning on Distributions with Approximate Kernel Embed...

Many interesting machine learning problems are best posed by considering instances that are distributions, or sample sets drawn from distributions....
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