Search Results for author: Dmytro Okhonko

Found 11 papers, 6 papers with code

LegoNN: Building Modular Encoder-Decoder Models

no code implementations7 Jun 2022 Siddharth Dalmia, Dmytro Okhonko, Mike Lewis, Sergey Edunov, Shinji Watanabe, Florian Metze, Luke Zettlemoyer, Abdelrahman Mohamed

We describe LegoNN, a procedure for building encoder-decoder architectures in a way so that its parts can be applied to other tasks without the need for any fine-tuning.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

CM3: A Causal Masked Multimodal Model of the Internet

no code implementations19 Jan 2022 Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer

We introduce CM3, a family of causally masked generative models trained over a large corpus of structured multi-modal documents that can contain both text and image tokens.

Entity Disambiguation Entity Linking

The Web Is Your Oyster -- Knowledge-Intensive NLP against a Very Large Web Corpus

2 code implementations18 Dec 2021 Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick Lewis, Barlas Oğuz, Edouard Grave, Wen-tau Yih, Sebastian Riedel

In order to address increasing demands of real-world applications, the research for knowledge-intensive NLP (KI-NLP) should advance by capturing the challenges of a truly open-domain environment: web-scale knowledge, lack of structure, inconsistent quality and noise.

Common Sense Reasoning Retrieval

Transformers with convolutional context for ASR

4 code implementations26 Apr 2019 Abdelrahman Mohamed, Dmytro Okhonko, Luke Zettlemoyer

The recent success of transformer networks for neural machine translation and other NLP tasks has led to a surge in research work trying to apply it for speech recognition.

Image Classification Machine Translation +3

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