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Sep 12, 2019
Machine Learning
Optimization and Control

Communication-Efficient Distributed Optimization in Networks with G…

There is a growing interest in large-scale machine learning and optimization over decentralized networks, e.g. in the context of multi-agent learning…
Sep 12, 2019
Machine Learning
Computational Complexity

On the Hardness of Robust Classification

It is becoming increasingly important to understand the vulnerability of machine learning models to adversarial attacks. In this paper we study the f…
Sep 12, 2019
Computer Vision

I-SAFE: Instant Suspicious Activity identiFication at the Edge using …

Urban imagery usually serves as forensic analysis and by design is available for incident mitigation. As more imagery collected, it is harder to narr…
Sep 12, 2019
Image and Video Processing
Computer Vision
Medical Physics

PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated …

Magnetic Resonance Imaging (MRI) has long been considered to be among "the gold standards" of diagnostic medical imaging. The long acquisition times,…
Sep 12, 2019
Computer Vision
Robotics

VeREFINE: Integrating Object Pose Verification with Iterative Physi…

Precise object pose estimation for robotics applications and augmented reality relies on final refinement and verification steps. However, interactio…
Sep 12, 2019
By yannisk
Machine Learning

Coarse-scale PDEs from fine-scale observations via machine learning

Complex spatiotemporal dynamics of physicochemical processes are often modeled at a microscopic level (through e.g. atomistic, agent-based or lattice…
Sep 12, 2019
Computer Vision
Graphics

3D Ken Burns Effect from a Single Image

The Ken Burns effect allows animating still images with a virtual camera scan and zoom. Adding parallax, which results in the 3D Ken Burns effect, en…
Sep 12, 2019
Computation and Language
Information Retrieval
Machine Learning

A Robust Hybrid Approach for Textual Document Classification

Text document classification is an important task for diverse natural language processing based applications. Traditional machine learning approaches…
Sep 12, 2019
Robotics

Tactile-Based Insertion for Dense Box-Packing

We study the problem of using high-resolution tactile sensors to control the insertion of objects in a box-packing scenario. We propose a new system …
Sep 12, 2019
Computation and Language

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Automatic evaluation of text generation tasks (e.g. machine translation, text summarization, image captioning and video description) usually relies h…
Sep 12, 2019
By meiwang
Machine Learning
Information Retrieval

Time-weighted Attentional Session-Aware Recommender System

Session-based Recurrent Neural Networks (RNNs) are gaining increasing popularity for recommendation task, due to the high autocorrelation of user's b…
Sep 12, 2019
By lisb04
Machine Learning
Systems and Control

Generalized Policy Iteration for Optimal Control in Continuous Time

This paper proposes the Deep Generalized Policy Iteration (DGPI) algorithm to find the infinite horizon optimal control policy for general nonlinear …
Sep 12, 2019
By xshe
Neural and Evolutionary Computation
Emerging Technologies

Improving Robustness of ReRAM-based Spiking Neural Network Accelerato…

Spike-timing-dependent-plasticity (STDP) is an unsupervised learning algorithm for spiking neural network (SNN), which promises to achieve deeper und…
Sep 12, 2019
Artificial Intelligence
Computation and Language

Interactive Fiction Games: A Colossal Adventure

A hallmark of human intelligence is the ability to understand and communicate with language. Interactive Fiction games are fully text-based simulatio…
Sep 11, 2019
Logic in Computer Science
Machine Learning
Systems and Control

Reinforcement Learning for Temporal Logic Control Synthesis with Pr…

Reinforcement Learning (RL) has emerged as an efficient method of choice for solving complex sequential decision making problems in automatic control…
Sep 11, 2019
Machine Learning

Contrastively Smoothed Class Alignment for Unsupervised Domain Adap…

Recent unsupervised approaches to domain adaptation primarily focus on minimizing the gap between the source and the target domains through refining …
Sep 11, 2019
By juhuah
Computer Vision

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

Distance metric learning (DML) is to learn the embeddings where examples from the same class are closer than examples from different classes. It can …
Sep 11, 2019
Image and Video Processing
Computer Vision

NODE: Extreme Low Light Raw Image Denoising using a Noise Decompositi…

Denoising extreme low light images is a challenging task due to the high noise level. When the illumination is low, digital cameras increase the ISO …
Sep 11, 2019
Computer Vision
Machine Learning

Skeleton Image Representation for 3D Action Recognition based on Tree…

In the last years, the computer vision research community has studied on how to model temporal dynamics in videos to employ 3D human action recogniti…
Sep 11, 2019
Computation and Language

Dependency-Aware Named Entity Recognition with Relative and Global …

Named entity recognition is one of the core tasks in NLP. Although many improvements have been made on this task during the last years, the state-of-…
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