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Jan 13, 2021
Machine Learning
Artificial Intelligence

Contrastive Behavioral Similarity Embeddings for Generalization in …

Reinforcement learning methods trained on few environments rarely learn policies that generalize to unseen environments. To improve generalization, w…
Jan 13, 2021
Computer Vision

Hand-Based Person Identification using Global and Part-Aware Deep F…

In cases of serious crime, including sexual abuse, often the only available information with demonstrated potential for identification is images of t…
Jan 13, 2021
Human-Computer Interaction
Computers and Society

Moderation Challenges in Voice-based Online Communities on Discord

Online community moderators are on the front lines of combating problems like hate speech and harassment, but new modes of interaction can introduce …
Jan 13, 2021
Information Theory
Machine Learning
Signal Processing

Random Fourier Feature Based Deep Learning for Wireless Communications

Deep-learning (DL) has emerged as a powerful machine-learning technique for several classic problems encountered in generic wireless communications. …
Jan 13, 2021
Human-Computer Interaction

Calibration Methods of Touch-Point Ambiguity for Finger-Fitts Law

Finger-Fitts law (FFitts law) is a model to predict touch-pointing times that was modified from Fitts' law. It considers the absolute touch-point pre…
Jan 13, 2021
Machine Learning

Denoising Score Matching with Random Fourier Features

The density estimation is one of the core problems in statistics. Despite this, existing techniques like maximum likelihood estimation are computatio…
Jan 13, 2021
Machine Learning

On Misspecification in Prediction Problems and Robustness via Imprope…

We study probabilistic prediction games when the underlying model is misspecified, investigating the consequences of predicting using an incorrect pa…
Jan 13, 2021
Image and Video Processing
Computer Vision
Machine Learning

Big Self-Supervised Models Advance Medical Image Classification

Self-supervised pretraining followed by supervised fine-tuning has seen success in image recognition, especially when labeled examples are scarce, bu…
Jan 13, 2021
Computer Vision

Image Steganography based on Iteratively Adversarial Samples of A S…

Nowadays a steganography has to face challenges of both feature based staganalysis and convolutional neural network (CNN) based steganalysis. In this…
Jan 13, 2021
Machine Learning

MC-LSTM: Mass-Conserving LSTM

The success of Convolutional Neural Networks (CNNs) in computer vision is mainly driven by their strong inductive bias, which is strong enough to all…
Jan 13, 2021
Computer Vision

Memory-Augmented Reinforcement Learning for Image-Goal Navigation

In this work, we address the problem of image-goal navigation in the context of visually-realistic 3D environments. This task involves navigating to …
Jan 13, 2021
Robotics
Systems and Control

Comparative Analysis of Agent-Oriented Task Assignment and Path Plann…

Autonomous drone swarms are a burgeoning technology with significant applications in the field of mapping, inspection, transportation and monitoring.…
Jan 13, 2021
Artificial Intelligence
Systems and Control

Neuro-Reachability of Networked Microgrids

A neural ordinary differential equations network (ODE-Net)-enabled reachability method (Neuro-Reachability) is devised for the dynamic verification o…
Jan 13, 2021
Machine Learning
Artificial Intelligence
Optimization and Control

CobBO: Coordinate Backoff Bayesian Optimization

Bayesian optimization is a popular method for optimizing expensive black-box functions. The objective functions of hard real world problems are often…
Jan 13, 2021
Image and Video Processing
Computer Vision
Machine Learning

Self-Supervised Vessel Enhancement Using Flow-Based Consistencies

Vessel segmenting is an essential task in many clinical applications. Although supervised methods have achieved state-of-art performance, acquiring e…
Jan 13, 2021
Social and Information Networks
Machine Learning

Overlapping Community Detection in Temporal Text Networks

Analyzing the groups in the network based on same attributes, functions or connections between nodes is a way to understand network information. The …
Jan 13, 2021
Image and Video Processing
Computer Vision

VoxelHop: Successive Subspace Learning for ALS Disease Classification…

Deep learning has great potential for accurate detection and classification of diseases with medical imaging data, but the performance is often limit…
Jan 13, 2021
Artificial Intelligence

Formalising Concepts as Grounded Abstractions

The notion of concept has been studied for centuries, by philosophers, linguists, cognitive scientists, and researchers in artificial intelligence (M…
Jan 13, 2021
Computer Vision
Artificial Intelligence
Robotics

Video action recognition for lane-change classification and predictio…

In highway scenarios, an alert human driver will typically anticipate early cut-in/cut-out maneuvers of surrounding vehicles using visual cues mainly…
Jan 13, 2021
Computer Vision
Machine Learning

Estimating and Evaluating Regression Predictive Uncertainty in Deep …

Predictive uncertainty estimation is an essential next step for the reliable deployment of deep object detectors in safety-critical tasks. In this wo…
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