Search Results for author: Serhii Havrylov

Found 8 papers, 4 papers with code

Just Mix Once: Worst-group Generalization by Group Interpolation

no code implementations21 Oct 2022 Giorgio Giannone, Serhii Havrylov, Jordan Massiah, Emine Yilmaz, Yunlong Jiao

Advances in deep learning theory have revealed how average generalization relies on superficial patterns in data.

Learning Theory

Preventing Posterior Collapse with Levenshtein Variational Autoencoder

no code implementations30 Apr 2020 Serhii Havrylov, Ivan Titov

Variational autoencoders (VAEs) are a standard framework for inducing latent variable models that have been shown effective in learning text representations as well as in text generation.

Text Generation

Obfuscation for Privacy-preserving Syntactic Parsing

1 code implementation WS 2020 Zhifeng Hu, Serhii Havrylov, Ivan Titov, Shay B. Cohen

We introduce an idea for a privacy-preserving transformation on natural language data, inspired by homomorphic encryption.

Privacy Preserving

Cooperative Learning of Disjoint Syntax and Semantics

1 code implementation NAACL 2019 Serhii Havrylov, Germán Kruszewski, Armand Joulin

There has been considerable attention devoted to models that learn to jointly infer an expression's syntactic structure and its semantics.

Domain Generalization Natural Language Inference +1

Embedding Words as Distributions with a Bayesian Skip-gram Model

1 code implementation COLING 2018 Arthur Bražinskas, Serhii Havrylov, Ivan Titov

Rather than assuming that a word embedding is fixed across the entire text collection, as in standard word embedding methods, in our Bayesian model we generate it from a word-specific prior density for each occurrence of a given word.

Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols

no code implementations NeurIPS 2017 Serhii Havrylov, Ivan Titov

Learning to communicate through interaction, rather than relying on explicit supervision, is often considered a prerequisite for developing a general AI.

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