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Dec 01, 2020
Cryptography and Security
Distributed
Parallel
and Cluster Computing
Machine Learning

MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent

Federated learning enables multiple, distributed participants (potentially on different clouds) to collaborate and train machine/deep learning models…
Dec 01, 2020
Computer Vision

GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution

We show that pre-trained Generative Adversarial Networks (GANs), e.g., StyleGAN, can be used as a latent bank to improve the restoration quality of l…
Dec 01, 2020
Machine Learning
Statistics Theory

Convergence and Sample Complexity of SGD in GANs

We provide theoretical convergence guarantees on training Generative Adversarial Networks (GANs) via SGD. We consider learning a target distribution …
Dec 01, 2020
Computation and Language

Intrinsic analysis for dual word embedding space models

Recent word embeddings techniques represent words in a continuous vector space, moving away from the atomic and sparse representations of the past. E…
Dec 01, 2020
Computer Vision

RAFT-3D: Scene Flow using Rigid-Motion Embeddings

We address the problem of scene flow: given a pair of stereo or RGB-D video frames, estimate pixelwise 3D motion. We introduce RAFT-3D, a new deep ar…
Dec 01, 2020
Machine Learning
Artificial Intelligence

In this work, we studied the necessity of utilizing coverage as a metric for training of DRL tasks. We proposed a new metric to review the quality of the sampled states for high-dimensional state space. For the two standard tasks, we provided the ps…

Assessing and Accelerating Coverage in Deep Reinforcement Learning

Current deep reinforcement learning (DRL) algorithms utilize randomness in simulation environments to assume complete coverage in the state space. Ho…
Dec 01, 2020
Computer Vision

Fully Convolutional Networks for Panoptic Segmentation

In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN. Our approach aims to…
Dec 01, 2020
Machine Learning
Computational Physics

Simulating Surface Wave Dynamics with Convolutional Networks

We investigate the performance of fully convolutional networks to simulate the motion and interaction of surface waves in open and closed complex geo…
Dec 01, 2020
Signal Processing
Machine Learning

Learning with Knowledge of Structure: A Neural Network-Based Approach…

In this paper, we explore neural network-based strategies for performing symbol detection in a MIMO-OFDM system. Building on a reservoir computing (R…
Dec 01, 2020
Databases
Human-Computer Interaction

Sigma Worksheet: Interactive Construction of OLAP Queries

A new generation of cloud data warehouses has changed the landscape of information technology. This shift brings large amounts of data and compute po…
Dec 01, 2020
Cryptography and Security
Machine Learning

Hey Alexa what did I just type? Decoding smartphone sounds with a voi…

Voice assistants are now ubiquitous and listen in on our everyday lives. Ever since they became commercially available, privacy advocates worried tha…
Dec 01, 2020
Machine Learning
Computer Vision

Learning Disentangled Latent Factors from Paired Data in Cross-Modal …

We deal with the problem of learning the underlying disentangled latent factors that are shared between the paired bi-modal data in cross-modal retri…
Dec 01, 2020
Machine Learning
Artificial Intelligence

Fast-Convergent Federated Learning with Adaptive Weighting

Federated learning (FL) enables resource-constrained edge nodes to collaboratively learn a global model under the orchestration of a central server w…
Dec 01, 2020
Robotics

Learning Sampling Distributions for Efficient High-Dimensional Motion…

Robot motion planning involves computing a sequence of valid robot configurations that take the robot from its initial state to a goal state. Solving…
Dec 01, 2020
Computer Vision
Tissues and Organs

Cross-modal registration using point clouds and graph-matching in the…

Correlative microscopy aims at combining two or more modalities to gain more information than the one provided by one modality on the same biological…
Dec 01, 2020
Computer Vision
Image and Video Processing

Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A…

Inspired by the facts that retinal cells actually segregate the visual scene into different attributes (e.g., spatial details, temporal motion) for r…
Dec 01, 2020
Computer Vision
Machine Learning

Unpaired Image-to-Image Translation via Latent Energy Transport

Image-to-image translation aims to preserve source contents while translating to discriminative target styles between two visual domains. Most works …
Dec 01, 2020
Cryptography and Security
Human-Computer Interaction

Cyber-Attack Consequence Prediction

Cyber-physical systems posit a complex number of security challenges due to interconnection of heterogeneous devices having limited processing, commu…
Dec 01, 2020
Robotics

Procedure for the Safety Assessment of an Autonomous Vehicle Using …

The development of Autonomous Vehicles (AVs) has made significant progress in the last years. An important aspect in the development of AVs is the as…
Dec 01, 2020
Machine Learning

Deep dynamic modeling with just two time points: Can we still allow f…

Longitudinal biomedical data are often characterized by a sparse time grid and individual-specific development patterns. Specifically, in epidemiolog…
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