IT University of Copenhagen

∙ København , Denmark ∙ 0 followers

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.

Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples

AI algorithms are not immune to biases. Traditionally, non-experts have ...
01/07/2020 ∙ by Chelsea M. Myers, et al. ∙ 69 ∙ share

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Power Consumption Variation over Activation Functions

The power that machine learning models consume when making predictions c...
06/12/2020 ∙ by Leon Derczynski, et al. ∙ 16 ∙ share

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Improving Deep Neuroevolution via Deep Innovation Protection

Evolutionary-based optimization approaches have recently shown promising...
12/29/2019 ∙ by Sebastian Risi, et al. ∙ 10 ∙ share

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Growing 3D Artefacts and Functional Machines with Neural Cellular Automata

Neural Cellular Automata (NCAs) have been proven effective in simulating...
03/15/2021 ∙ by Shyam Sudhakaran, et al. ∙ 9 ∙ share

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Learning a Behavioral Repertoire from Demonstrations

Imitation Learning (IL) is a machine learning approach to learn a policy...
07/05/2019 ∙ by Niels Justesen, et al. ∙ 5 ∙ share

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Procedural Level Generation Improves Generality of Deep Reinforcement Learning

Over the last few years, deep reinforcement learning (RL) has shown impr...
06/28/2018 ∙ by Niels Justesen, et al. ∙ 4 ∙ share

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WOR and p's: Sketches for ℓ_p-Sampling Without Replacement

Weighted sampling is a fundamental tool in data analysis and machine lea...
07/14/2020 ∙ by Edith Cohen, et al. ∙ 2 ∙ share

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An artifcial life approach to studying niche differentiation in soundscape ecology

Artificial life simulations are an important tool in the study of ecolog...
07/30/2019 ∙ by David Kadish, et al. ∙ 1 ∙ share

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HyperENTM: Evolving Scalable Neural Turing Machines through HyperNEAT

Recent developments within memory-augmented neural networks have solved ...
10/12/2017 ∙ by Jakob Merrild, et al. ∙ 0 ∙ share

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Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks

Biological plastic neural networks are systems of extraordinary computat...
03/30/2017 ∙ by Andrea Soltoggio, et al. ∙ 0 ∙ share

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Using Indirect Encoding of Multiple Brains to Produce Multimodal Behavior

An important challenge in neuroevolution is to evolve complex neural net...
04/26/2016 ∙ by Jacob Schrum, et al. ∙ 0 ∙ share

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Increasing Behavioral Complexity for Evolved Virtual Creatures with the ESP Method

Since their introduction in 1994 (Sims), evolved virtual creatures (EVCs...
10/27/2015 ∙ by Dan Lessin, et al. ∙ 0 ∙ share

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Computation of Stackelberg Equilibria of Finite Sequential Games

The Stackelberg equilibrium solution concept describes optimal strategie...
07/28/2015 ∙ by Branislav Bosansky, et al. ∙ 0 ∙ share

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Baselines and test data for cross-lingual inference

Research in natural language inference is currently exclusive to English...
04/18/2017 ∙ by Željko Agić, et al. ∙ 0 ∙ share

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Probabilistic Analysis Based On Symbolic Game Semantics and Model Counting

Probabilistic program analysis aims to quantify the probability that a g...
09/07/2017 ∙ by Aleksandar S. Dimovski, et al. ∙ 0 ∙ share

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Garbage Collection Techniques for Flash-Resident Page-Mapping FTLs

Storage devices based on flash memory have replaced hard disk drives (HD...
04/07/2015 ∙ by Niv Dayan, et al. ∙ 0 ∙ share

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Scalable and robust set similarity join

Set similarity join is a fundamental and well-studied database operator....
07/21/2017 ∙ by Tobias Christiani, et al. ∙ 0 ∙ share

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Deep Interactive Evolution

This paper describes an approach that combines generative adversarial ne...
01/24/2018 ∙ by Philip Bontrager, et al. ∙ 0 ∙ share

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Leveraging the Exact Likelihood of Deep Latent Variables Models

Deep latent variable models combine the approximation abilities of deep ...
02/13/2018 ∙ by Pierre-Alexandre Mattei, et al. ∙ 0 ∙ share

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Leveraging the Exact Likelihood of Deep Latent Variable Models

Deep latent variable models combine the approximation abilities of deep ...
02/13/2018 ∙ by Pierre-Alexandre Mattei, et al. ∙ 0 ∙ share

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Improved MapReduce and Streaming Algorithms for k-Center Clustering (with Outliers)

We present efficient MapReduce and Streaming algorithms for the k-center...
02/26/2018 ∙ by Matteo Ceccarello, et al. ∙ 0 ∙ share

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Automated Curriculum Learning by Rewarding Temporally Rare Events

Reward shaping allows reinforcement learning (RL) agents to accelerate l...
03/19/2018 ∙ by Niels Justesen, et al. ∙ 0 ∙ share

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Set Similarity Search for Skewed Data

Set similarity join, as well as the corresponding indexing problem set s...
04/09/2018 ∙ by Samuel McCauley, et al. ∙ 0 ∙ share

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Adaptive MapReduce Similarity Joins

Similarity joins are a fundamental database operation. Given data sets S...
04/16/2018 ∙ by Samuel McCauley, et al. ∙ 0 ∙ share

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Extensor-Coding

We devise an algorithm that approximately computes the number of paths o...
04/25/2018 ∙ by Cornelius Brand, et al. ∙ 0 ∙ share

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Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Generative Adversarial Networks (GANs) are a machine learning approach c...
05/02/2018 ∙ by Vanessa Volz, et al. ∙ 0 ∙ share

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Bleaching Text: Abstract Features for Cross-lingual Gender Prediction

Gender prediction has typically focused on lexical and social network fe...
05/08/2018 ∙ by Rob van der Goot, et al. ∙ 0 ∙ share

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Dynamicity and Durability in Scalable Visual Instance Search

Visual instance search involves retrieving from a collection of images t...
05/25/2018 ∙ by Herwig Lejsek, et al. ∙ 0 ∙ share

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UniParse: A universal graph-based parsing toolkit

This paper describes the design and use of the graph-based parsing frame...
07/11/2018 ∙ by Daniel Varab, et al. ∙ 0 ∙ share

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Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging

We introduce DsDs: a cross-lingual neural part-of-speech tagger that lea...
08/29/2018 ∙ by Barbara Plank, et al. ∙ 0 ∙ share

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Stance Prediction for Russian: Data and Analysis

Stance detection is a critical component of rumour and fake news identif...
09/05/2018 ∙ by Nikita Lozhnikov, et al. ∙ 0 ∙ share

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FRESH: Fréchet Similarity with Hashing

Massive datasets of curves, such as time series and trajectories, are co...
09/07/2018 ∙ by Matteo Ceccarello, et al. ∙ 0 ∙ share

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RumourEval 2019: Determining Rumour Veracity and Support for Rumours

This is the proposal for RumourEval-2019, which will run in early 2019 a...
09/18/2018 ∙ by Genevieve Gorrell, et al. ∙ 0 ∙ share

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The Hidden Cost of Window Management

Most window management systems support multitasking by allowing users to...
10/10/2018 ∙ by Steven Jeuris, et al. ∙ 0 ∙ share

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Lower Bounds for Oblivious Data Structures

An oblivious data structure is a data structure where the memory access ...
10/24/2018 ∙ by Riko Jacob, et al. ∙ 0 ∙ share

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Bisimulation as path type for guarded recursive types

In type theory, coinductive types are used to represent processes, and a...
10/31/2018 ∙ by Rasmus Ejlers Møgelberg, et al. ∙ 0 ∙ share

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Optimal Boolean Locality-Sensitive Hashing

For 0 ≤β < α < 1 the distribution H over Boolean functions h {-1, 1}^d →...
12/04/2018 ∙ by Tobias Christiani, et al. ∙ 0 ∙ share

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missIWAE: Deep Generative Modelling and Imputation of Incomplete Data

We present a simple technique to train deep latent variable models (DLVM...
12/06/2018 ∙ by Pierre-Alexandre Mattei, et al. ∙ 0 ∙ share

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Confirmation Sampling for Exact Nearest Neighbor Search

Locality-sensitive hashing (LSH), introduced by Indyk and Motwani in STO...
12/06/2018 ∙ by Tobias Christiani, et al. ∙ 0 ∙ share

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Dynamic Planar Convex Hull

In this article, we determine the amortized computational complexity of ...
02/28/2019 ∙ by Riko Jacob, et al. ∙ 0 ∙ share

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Exquisitor: Interactive Learning at Large

Increasing scale is a dominant trend in today's multimedia collections, ...
04/18/2019 ∙ by Björn Þór Jónsson, et al. ∙ 0 ∙ share

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Fair Near Neighbor Search: Independent Range Sampling in High Dimensions

Similarity search is a fundamental algorithmic primitive, widely used in...
06/05/2019 ∙ by Martin Aumüller, et al. ∙ 0 ∙ share

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Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering

We study the issue of catastrophic forgetting in the context of neural m...
06/10/2019 ∙ by Claudio Greco, et al. ∙ 0 ∙ share

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Scalable and Differentially Private Distributed Aggregation in the Shuffled Model

Federated learning promises to make machine learning feasible on distrib...
06/19/2019 ∙ by Badih Ghazi, et al. ∙ 0 ∙ share

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Simple Natural Language Processing Tools for Danish

This technical note describes a set of baseline tools for automatic proc...
06/27/2019 ∙ by Leon Derczynski, et al. ∙ 0 ∙ share

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Danish Stance Classification and Rumour Resolution

The Internet is rife with flourishing rumours that spread through microb...
07/02/2019 ∙ by Anders Edelbo Lillie, et al. ∙ 0 ∙ share

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Fake News Detection using Stance Classification: A Survey

This paper surveys and presents recent academic work carried out within ...
06/29/2019 ∙ by Anders Edelbo Lillie, et al. ∙ 0 ∙ share

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Hardness of Bichromatic Closest Pair with Jaccard Similarity

Consider collections A and B of red and blue sets, respectively. Bichrom...
07/04/2019 ∙ by Rasmus Pagh, et al. ∙ 0 ∙ share

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Approximately counting and sampling small witnesses using a colourful decision oracle

In this paper, we prove "black box" results for turning algorithms which...
07/10/2019 ∙ by Holger Dell, et al. ∙ 0 ∙ share

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Data-driven strategies for optimal bicycle network growth

Urban transportation networks, from sidewalks and bicycle paths to stree...
07/16/2019 ∙ by Luis Natera, et al. ∙ 0 ∙ share

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