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Jan 25, 2021
Machine Learning
Artificial Intelligence
Social and Information Networks

Identity-aware Graph Neural Networks

Message passing Graph Neural Networks (GNNs) provide a powerful modeling framework for relational data. However, the expressive power of existing GNN…
Jan 25, 2021
Machine Learning
Artificial Intelligence

Multi-Time Attention Networks for Irregularly Sampled Time Series

Irregular sampling occurs in many time series modeling applications where it presents a significant challenge to standard deep learning models. This …
Jan 25, 2021
Multiagent Systems
Artificial Intelligence

Accumulating Risk Capital Through Investing in Cooperation

Recent work on promoting cooperation in multi-agent learning has resulted in many methods which successfully promote cooperation at the cost of becom…
Jan 25, 2021
Signal Processing
Machine Learning

Channel Estimation via Successive Denoising in MIMO OFDM Systems: A …

Reliable communication through multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) requires accurate channel esti…
Jan 25, 2021
Computer Vision
Artificial Intelligence
Machine Learning

Transferable Interactiveness Knowledge for Human-Object Interaction …

Human-Object Interaction (HOI) detection is an important problem to understand how humans interact with objects. In this paper, we explore interactiv…
Jan 25, 2021
Computation and Language

PAWLS: PDF Annotation With Labels and Structure

Adobe's Portable Document Format (PDF) is a popular way of distributing view-only documents with a rich visual markup. This presents a challenge to N…
Jan 25, 2021
Computation and Language

TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging…

Tasks, Datasets and Evaluation Metrics are important concepts for understanding experimental scientific papers. However, most previous work on inform…
Jan 25, 2021
Computer Vision
Image and Video Processing

VConstruct: Filling Gaps in Chl-a Data Using a Variational Autoencoder

Remote sensing of Chlorophyll-a is vital in monitoring climate change. Chlorphyll-a measurements give us an idea of the algae concentrations in the o…
Jan 25, 2021
Computation and Language

Learning From Revisions: Quality Assessment of Claims in Argumentatio…

Assessing the quality of arguments and of the claims the arguments are composed of has become a key task in computational argumentation. However, eve…
Jan 25, 2021
Image and Video Processing
Computer Vision

D-Net: Siamese based Network with Mutual Attention for Volume Alignme…

Alignment of contrast and non-contrast-enhanced imaging is essential for the quantification of changes in several biomedical applications. In particu…
Jan 25, 2021
Human-Computer Interaction

AirWare: Utilizing Embedded Audio and Infrared Signals for In-Air H…

We introduce AirWare, an in-air hand-gesture recognition system that uses the already embedded speaker and microphone in most electronic devices, tog…
Jan 25, 2021
Computation and Language

Process-Level Representation of Scientific Protocols with Interactive…

We develop Process Execution Graphs~(PEG), a document-level representation of real-world wet lab biochemistry protocols, addressing challenges such a…
Jan 25, 2021
Computer Vision

RGB-D Salient Object Detection via 3D Convolutional Neural Networks

RGB-D salient object detection (SOD) recently has attracted increasing research interest and many deep learning methods based on encoder-decoder arch…
Jan 25, 2021
Computer Vision

Lightweight Convolutional Neural Network with Gaussian-based Grasping…

The method of deep learning has achieved excellent results in improving the performance of robotic grasping detection. However, the deep learning met…
Jan 25, 2021
Image and Video Processing
Computer Vision

A two-step explainable approach for COVID-19 computer-aided diagnosis…

Early screening of patients is a critical issue in order to assess immediate and fast responses against the spread of COVID-19. The use of nasopharyn…
Jan 25, 2021
Computation and Language

A Trigger-Sense Memory Flow Framework for Joint Entity and Relation …

Joint entity and relation extraction framework constructs a unified model to perform entity recognition and relation extraction simultaneously, which…
Jan 25, 2021
Computer Vision
Artificial Intelligence

ISP Distillation

Nowadays, many of the images captured are "observed" by machines only and not by humans, for example, robots' or autonomous cars' cameras. High-level…
Jan 25, 2021
Cryptography and Security
Artificial Intelligence
Machine Learning

Machine Learning for the Detection and Identification of Internet of …

The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a variety of emerging services and applications. However, t…
Jan 25, 2021
Computer Vision

Mask-based Data Augmentation for Semi-supervised Semantic Segmentation

Semantic segmentation using convolutional neural networks (CNN) is a crucial component in image analysis. Training a CNN to perform semantic segmenta…
Jan 25, 2021
Machine Learning
Artificial Intelligence
Multiagent Systems

Importantly, we have demonstrated the first clear, positive result of emergent communication under competition in modern machine learning using standard RL. We have expanded on conditions for competitively learning to communicate and presented three…

Emergent Communication under Competition

The literature in modern machine learning has only negative results for learning to communicate between competitive agents using standard RL. We intr…
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