Agnieszka Słowik | DeepAI

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∙ 07/24/2021

Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation

Machine learning systems based on minimizing average error have been sho...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Linear unit-tests for invariance discovery

There is an increasing interest in algorithms to learn invariant correla...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Inductive Bias and Language Expressivity in Emergent Communication

Referential games and reconstruction games are the most common game type...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers

Feed-forward neural networks consist of a sequence of layers, in which e...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)

Modern theorem provers utilise a wide array of heuristics to control the...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Structural Inductive Biases in Emergent Communication

In order to communicate, humans flatten a complex representation of idea...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Analyzing Structural Priors in Multi-Agent Communication

Human language and thought are characterized by the ability to systemati...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Towards Graph Representation Learning in Emergent Communication

Recent findings in neuroscience suggest that the human brain represents ...

0 Agnieszka Słowik, et al. ∙

∙ 07/24/2021

Spatial Graph Convolutional Networks

Graph Convolutional Networks (GCNs) have recently be- come the primary ...

0 Agnieszka Słowik, et al. ∙

∙ 09/18/2019

Bayesian Optimisation with Gaussian Processes for Premise Selection

Heuristics in theorem provers are often parameterised. Modern theorem pr...

14 Agnieszka Słowik, et al. ∙

∙ 09/11/2019

Geometric Graph Convolutional Neural Networks

Graph Convolutional Networks (GCNs) have recently become the primary cho...

1 Przemysław Spurek, et al. ∙

∙ 07/23/2019

Completing partial recipes using item-based collaborative filtering to recommend ingredients

Increased public interest in healthy lifestyles has motivated the study ...

1 Paula Fermín Cueto, et al. ∙

∙ 11/01/2018

Dilated DenseNets for Relational Reasoning

Despite their impressive performance in many tasks, deep neural networks...

11 Antreas Antoniou, et al. ∙