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11/08/2022
Preserving Semantics in Textual Adversarial Attacks
Adversarial attacks in NLP challenge the way we look at language models....
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06/27/2022
Emergence of Novelty in Evolutionary Algorithms
One of the main problems of evolutionary algorithms is the convergence o...
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08/03/2021
Classification of Discrete Dynamical Systems Based on Transients
In order to develop systems capable of artificial evolution, we need to ...
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08/01/2021
Computational Hierarchy of Elementary Cellular Automata
The complexity of cellular automata is traditionally measured by their c...
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04/01/2021
Visualizing computation in large-scale cellular automata
Emergent processes in complex systems such as cellular automata can perf...
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03/15/2021
Emergence of self-reproducing metabolisms as recursive algorithms in an Artificial Chemistry
Researching the conditions for the emergence of life – not necessarily a...
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08/31/2020
Classification of Complex Systems Based on Transients
In order to develop systems capable of modeling artificial life, we need...
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04/07/2020
Class-Agnostic Continual Learning of Alternating Languages and Domains
Continual Learning has been often framed as the problem of training a mo...
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03/17/2020
Combinatory Chemistry: Towards a Simple Model of Emergent Evolution
Researching the conditions for the emergence of life – not necessarily a...
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11/04/2019
Evolving Structures in Complex Systems
In this paper we propose an approach for measuring growth of complexity ...
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10/14/2019
Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment
In this paper, we focus on the problem of adapting word vector-based mod...
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04/20/2018
Improving Supervised Bilingual Mapping of Word Embeddings
Continuous word representations, learned on different languages, can be ...
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02/19/2018
Learning Word Vectors for 157 Languages
Distributed word representations, or word vectors, have recently been ap...
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12/26/2017
Advances in Pre-Training Distributed Word Representations
Many Natural Language Processing applications nowadays rely on pre-train...
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10/30/2017
Fast Linear Model for Knowledge Graph Embeddings
This paper shows that a simple baseline based on a Bag-of-Words (BoW) re...
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03/26/2017
Learning Simpler Language Models with the Differential State Framework
Learning useful information across long time lags is a critical and diff...
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01/31/2017
CommAI: Evaluating the first steps towards a useful general AI
With machine learning successfully applied to new daunting problems almo...
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12/12/2016
FastText.zip: Compressing text classification models
We consider the problem of producing compact architectures for text clas...
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11/18/2016
Variable Computation in Recurrent Neural Networks
Recurrent neural networks (RNNs) have been used extensively and with inc...
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07/15/2016
Enriching Word Vectors with Subword Information
Continuous word representations, trained on large unlabeled corpora are ...
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07/06/2016
Bag of Tricks for Efficient Text Classification
This paper explores a simple and efficient baseline for text classificat...
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11/25/2015
A Roadmap towards Machine Intelligence
The development of intelligent machines is one of the biggest unsolved c...
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11/23/2015
Learning Simple Algorithms from Examples
We present an approach for learning simple algorithms such as copying, m...
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11/19/2015
Alternative structures for character-level RNNs
Recurrent neural networks are convenient and efficient models for langua...
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03/03/2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets
Despite the recent achievements in machine learning, we are still very f...
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02/19/2015
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
One long-term goal of machine learning research is to produce methods th...
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12/24/2014
Learning Longer Memory in Recurrent Neural Networks
Recurrent neural network is a powerful model that learns temporal patter...
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12/17/2014
Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews
Sentiment analysis is a common task in natural language processing that ...
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05/16/2014
Distributed Representations of Sentences and Documents
Many machine learning algorithms require the input to be represented as ...
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10/16/2013
Distributed Representations of Words and Phrases and their Compositionality
The recently introduced continuous Skip-gram model is an efficient metho...
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09/17/2013
