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Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck
In this paper, we present an in-depth investigation of the convolutional...
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Industrial Federated Learning – Requirements and System Design
Federated Learning (FL) is a very promising approach for improving decen...
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ViewSynth: Learning Local Features from Depth using View Synthesis
We address the problem of jointly detecting keypoints and learning descr...
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Learning Neural PDE Solvers with Convergence Guarantees
Partial differential equations (PDEs) are widely used across the physica...
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Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning
We tune one of the most common heating, ventilation, and air conditionin...
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PaDGAN: A Generative Adversarial Network for Performance Augmented Diverse Designs
Deep generative models are proven to be a useful tool for automatic desi...
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Table-Top Scene Analysis Using Knowledge-Supervised MCMC
In this paper, we propose a probabilistic method to generate abstract sc...
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InverseNet: Solving Inverse Problems with Splitting Networks
We propose a new method that uses deep learning techniques to solve the ...
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Tensor Decompositions for Modeling Inverse Dynamics
Modeling inverse dynamics is crucial for accurate feedforward robot cont...
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Zero-Shot Deep Domain Adaptation
The existing methods of domain adaptation (DA) work under the assumption...
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Two-Stream RNN/CNN for Action Recognition in 3D Videos
The recognition of actions from video sequences has many applications in...
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DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition
Recent progress in computer vision has been dominated by deep neural net...
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Type-Constrained Representation Learning in Knowledge Graphs
Large knowledge graphs increasingly add value to various applications th...
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Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
We present an algorithm for model-based reinforcement learning that comb...
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Proximal gradient method for huberized support vector machine
The Support Vector Machine (SVM) has been used in a wide variety of clas...
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Towards a New Science of a Clinical Data Intelligence
In this paper we define Clinical Data Intelligence as the analysis of da...
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An Octree-Based Approach towards Efficient Variational Range Data Fusion
Volume-based reconstruction is usually expensive both in terms of memory...
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A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Person re-identification (re-id) is a critical problem in video analytic...
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Fast 3D Salient Region Detection in Medical Images using GPUs
Automated detection of visually salient regions is an active area of res...
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Combinatorial Continuous Maximal Flows
Maximum flow (and minimum cut) algorithms have had a strong impact on co...
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Combining Recurrent and Convolutional Neural Networks for Relation Classification
This paper investigates two different neural architectures for the task ...
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Hierarchical Latent Word Clustering
This paper presents a new Bayesian non-parametric model by extending the...
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Look Mum, no VM Exits! (Almost)
Multi-core CPUs are a standard component in many modern embedded systems...
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A Systematic Review of Productivity Factors in Software Development
Analysing and improving productivity has been one of the main goals of s...
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Tell Me Where to Look: Guided Attention Inference Network
Weakly supervised learning with only coarse labels can obtain visual exp...
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Robust Odometry using Sensor Consensus Analysis
Odometry forms an important component of many manned and autonomous syst...
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Generating Interpretable Fuzzy Controllers using Particle Swarm Optimization and Genetic Programming
Autonomously training interpretable control strategies, called policies,...
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Joint Bootstrapping Machines for High Confidence Relation Extraction
Semi-supervised bootstrapping techniques for relationship extraction fro...
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Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts
The goal of our industrial ticketing system is to retrieve a relevant so...
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Needs and Challenges for a Platform to Support Large-scale Requirements Engineering. A Multiple Case Study
Background: Requirement engineering is often considered a critical activ...
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Measuring the Temporal Behavior of Real-World Person Re-Identification
Designing real-world person re-identification (re-id) systems requires a...
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Improving Information Extraction from Images with Learned Semantic Models
Many applications require an understanding of an image that goes beyond ...
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dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Learning graph representations is a fundamental task aimed at capturing ...
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Energy-Based Hindsight Experience Prioritization
In Hindsight Experience Replay (HER), a reinforcement learning agent is ...
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Neural Relation Extraction Within and Across Sentence Boundaries
Past work in relation extraction mostly focuses on binary relation betwe...
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Reducing Visual Confusion with Discriminative Attention
Recent developments in gradient-based attention modeling have led to imp...
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Learning without Memorizing
Incremental learning (IL) is an important task aimed to increase the cap...
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DynamicGEM: A Library for Dynamic Graph Embedding Methods
DynamicGEM is an open-source Python library for learning node representa...
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Towards Fast Biomechanical Modeling of Soft Tissue Using Neural Networks
To date, the simulation of organ deformations for applications like ther...
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Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits
We present a novel and effective method for detecting 3D primitives in c...
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Using adjoint CFD to quantify the impact of manufacturing variations on a heavy duty turbine vane
We consider the evaluation of manufacturing variations to the aerodynami...
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Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm
From formal and practical analysis, we identify new challenges that self...
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Finding Robust Itemsets Under Subsampling
Mining frequent patterns is plagued by the problem of pattern explosion ...
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Curiosity-Driven Experience Prioritization via Density Estimation
In Reinforcement Learning (RL), an agent explores the environment and co...
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Rule-Based Translation of Application-Level QoS Constraints into SDN Configurations for the IoT
In this paper, we propose an approach for the automated translation of a...
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Degrees of Laziness in Grounding: Effects of Lazy-Grounding Strategies on ASP Solving
The traditional ground-and-solve approach to Answer Set Programming (ASP...
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FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
Services hosted in multi-tenant cloud platforms often encounter performa...
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P4BFT: Hardware-Accelerated Byzantine-Resilient Network Control Plane
Byzantine Fault Tolerance (BFT) enables correct operation of distributed...
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Pykg2vec: A Python Library for Knowledge Graph Embedding
Pykg2vec is an open-source Python library for learning the representatio...
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Optimally Self-Healing IoT Choreographies
In the industrial Internet of Things domain, applications are moving fro...
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