activity
20192022
most citedData Augmenting Contrastive Learning of Speech Representations in the Time Domain

93 citations · 106 across the 5 of their papers we have counts for

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11 papers · 1 filter

cs.CL20224 cited

textless-lib: a Library for Textless Spoken Language Processing

Eugene Kharitonov, Jade Copet, Kushal Lakhotia +8

Textless spoken language processing research aims to extend the applicability of standard NLP toolset onto spoken language and languages with few or no textual resources. In this p…

cs.CL2021

Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN

Rahma Chaabouni, Roberto Dessì, Eugene Kharitonov

Despite their practical success, modern seq2seq architectures are unable to generalize systematically on several SCAN tasks. Hence, it is not clear if SCAN-style compositional gene…

cs.CL20219 cited

Interpretable agent communication from scratch (with a generic visual processor emerging on the side)

Roberto Dessì, Eugene Kharitonov, Marco Baroni

As deep networks begin to be deployed as autonomous agents, the issue of how they can communicate with each other becomes important. Here, we train two deep nets from scratch to pe…

cs.CL2021

The Zero Resource Speech Challenge 2021: Spoken language modelling

Ewan Dunbar, Mathieu Bernard, Nicolas Hamilakis +6

We present the Zero Resource Speech Challenge 2021, which asks participants to learn a language model directly from audio, without any text or labels. The challenge is based on the…

cs.CL2020

What they do when in doubt: a study of inductive biases in seq2seq learners

Eugene Kharitonov, Rahma Chaabouni

Sequence-to-sequence (seq2seq) learners are widely used, but we still have only limited knowledge about what inductive biases shape the way they generalize. We address that by inve…

cs.CL2020

Emergent Language Generalization and Acquisition Speed are not tied to Compositionality

Eugene Kharitonov, Marco Baroni

Studies of discrete languages emerging when neural agents communicate to solve a joint task often look for evidence of compositional structure. This stems for the expectation that…