
Revealing Neural Network Bias to NonExperts Through Interactive Counterfactual Examples
AI algorithms are not immune to biases. Traditionally, nonexperts have ...
read it

Power Consumption Variation over Activation Functions
The power that machine learning models consume when making predictions c...
read it

Improving Deep Neuroevolution via Deep Innovation Protection
Evolutionarybased optimization approaches have recently shown promising...
read it

Growing 3D Artefacts and Functional Machines with Neural Cellular Automata
Neural Cellular Automata (NCAs) have been proven effective in simulating...
read it

Learning a Behavioral Repertoire from Demonstrations
Imitation Learning (IL) is a machine learning approach to learn a policy...
read it

Procedural Level Generation Improves Generality of Deep Reinforcement Learning
Over the last few years, deep reinforcement learning (RL) has shown impr...
read it

WOR and p's: Sketches for ℓ_pSampling Without Replacement
Weighted sampling is a fundamental tool in data analysis and machine lea...
read it

An artifcial life approach to studying niche differentiation in soundscape ecology
Artificial life simulations are an important tool in the study of ecolog...
read it

HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT
Recent developments within memoryaugmented neural networks have solved ...
read it

Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Biological plastic neural networks are systems of extraordinary computat...
read it

Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior
An important challenge in neuroevolution is to evolve complex neural net...
read it

Increasing Behavioral Complexity for Evolved Virtual Creatures with the ESP Method
Since their introduction in 1994 (Sims), evolved virtual creatures (EVCs...
read it

Computation of Stackelberg Equilibria of Finite Sequential Games
The Stackelberg equilibrium solution concept describes optimal strategie...
read it

Baselines and test data for crosslingual inference
Research in natural language inference is currently exclusive to English...
read it

Probabilistic Analysis Based On Symbolic Game Semantics and Model Counting
Probabilistic program analysis aims to quantify the probability that a g...
read it

Garbage Collection Techniques for FlashResident PageMapping FTLs
Storage devices based on flash memory have replaced hard disk drives (HD...
read it

Scalable and robust set similarity join
Set similarity join is a fundamental and wellstudied database operator....
read it

Deep Interactive Evolution
This paper describes an approach that combines generative adversarial ne...
read it

Leveraging the Exact Likelihood of Deep Latent Variables Models
Deep latent variable models combine the approximation abilities of deep ...
read it

Leveraging the Exact Likelihood of Deep Latent Variable Models
Deep latent variable models combine the approximation abilities of deep ...
read it

Improved MapReduce and Streaming Algorithms for kCenter Clustering (with Outliers)
We present efficient MapReduce and Streaming algorithms for the kcenter...
read it

Automated Curriculum Learning by Rewarding Temporally Rare Events
Reward shaping allows reinforcement learning (RL) agents to accelerate l...
read it

Set Similarity Search for Skewed Data
Set similarity join, as well as the corresponding indexing problem set s...
read it

Adaptive MapReduce Similarity Joins
Similarity joins are a fundamental database operation. Given data sets S...
read it

ExtensorCoding
We devise an algorithm that approximately computes the number of paths o...
read it

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Generative Adversarial Networks (GANs) are a machine learning approach c...
read it

Bleaching Text: Abstract Features for Crosslingual Gender Prediction
Gender prediction has typically focused on lexical and social network fe...
read it

Dynamicity and Durability in Scalable Visual Instance Search
Visual instance search involves retrieving from a collection of images t...
read it

UniParse: A universal graphbased parsing toolkit
This paper describes the design and use of the graphbased parsing frame...
read it

Distant Supervision from Disparate Sources for LowResource PartofSpeech Tagging
We introduce DsDs: a crosslingual neural partofspeech tagger that lea...
read it

Stance Prediction for Russian: Data and Analysis
Stance detection is a critical component of rumour and fake news identif...
read it

FRESH: Fréchet Similarity with Hashing
Massive datasets of curves, such as time series and trajectories, are co...
read it

RumourEval 2019: Determining Rumour Veracity and Support for Rumours
This is the proposal for RumourEval2019, which will run in early 2019 a...
read it

The Hidden Cost of Window Management
Most window management systems support multitasking by allowing users to...
read it

Lower Bounds for Oblivious Data Structures
An oblivious data structure is a data structure where the memory access ...
read it

Bisimulation as path type for guarded recursive types
In type theory, coinductive types are used to represent processes, and a...
read it

Optimal Boolean LocalitySensitive Hashing
For 0 ≤β < α < 1 the distribution H over Boolean functions h {1, 1}^d →...
read it

missIWAE: Deep Generative Modelling and Imputation of Incomplete Data
We present a simple technique to train deep latent variable models (DLVM...
read it

Confirmation Sampling for Exact Nearest Neighbor Search
Localitysensitive hashing (LSH), introduced by Indyk and Motwani in STO...
read it

Dynamic Planar Convex Hull
In this article, we determine the amortized computational complexity of ...
read it

Exquisitor: Interactive Learning at Large
Increasing scale is a dominant trend in today's multimedia collections, ...
read it

Fair Near Neighbor Search: Independent Range Sampling in High Dimensions
Similarity search is a fundamental algorithmic primitive, widely used in...
read it

Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering
We study the issue of catastrophic forgetting in the context of neural m...
read it

Scalable and Differentially Private Distributed Aggregation in the Shuffled Model
Federated learning promises to make machine learning feasible on distrib...
read it

Simple Natural Language Processing Tools for Danish
This technical note describes a set of baseline tools for automatic proc...
read it

Danish Stance Classification and Rumour Resolution
The Internet is rife with flourishing rumours that spread through microb...
read it

Fake News Detection using Stance Classification: A Survey
This paper surveys and presents recent academic work carried out within ...
read it

Hardness of Bichromatic Closest Pair with Jaccard Similarity
Consider collections A and B of red and blue sets, respectively. Bichrom...
read it

Approximately counting and sampling small witnesses using a colourful decision oracle
In this paper, we prove "black box" results for turning algorithms which...
read it

Datadriven strategies for optimal bicycle network growth
Urban transportation networks, from sidewalks and bicycle paths to stree...
read it
IT University of Copenhagen
The IT University, established in 1999, is a specialized university focused on IT. ITU is the university in Denmark that educates the most IT specialists.