Search Results for author: Wojciech Stokowiec

Found 11 papers, 3 papers with code

A Natural Bias for Language Generation Models

no code implementations19 Dec 2022 Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro

After just a few hundred training updates, a standard probabilistic model for language generation has likely not yet learnt many semantic or syntactic rules of natural language, making it difficult to estimate the probability distribution over next tokens.

Machine Translation Text Generation

Internet-augmented language models through few-shot prompting for open-domain question answering

no code implementations10 Mar 2022 Angeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, Nikolai Grigorev

In this work, we aim to capitalize on the unique few-shot capabilities of large-scale language models (LSLMs) to overcome some of their challenges with respect to grounding to factual and up-to-date information.

Language Modelling Open-Domain Question Answering

Enabling arbitrary translation objectives with Adaptive Tree Search

no code implementations ICLR 2022 Wang Ling, Wojciech Stokowiec, Domenic Donato, Laurent Sartran, Lei Yu, Austin Matthews, Chris Dyer

When applied to autoregressive models, our algorithm has different biases than beam search has, which enables a new analysis of the role of decoding bias in autoregressive models.


Better Document-Level Machine Translation with Bayes' Rule

no code implementations TACL 2020 Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer

We show that Bayes' rule provides an effective mechanism for creating document translation models that can be learned from only parallel sentences and monolingual documents---a compelling benefit as parallel documents are not always available.

Document Level Machine Translation Document Translation +3

Putting Machine Translation in Context with the Noisy Channel Model

no code implementations25 Sep 2019 Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer

We show that Bayes' rule provides a compelling mechanism for controlling unconditional document language models, using the long-standing challenge of effectively leveraging document context in machine translation.

Document Translation Language Modelling +2

Adversarial Autoencoders for Compact Representations of 3D Point Clouds

4 code implementations19 Nov 2018 Maciej Zamorski, Maciej Zięba, Piotr Klukowski, Rafał Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzciński

Deep generative architectures provide a way to model not only images but also complex, 3-dimensional objects, such as point clouds.

3D Object Retrieval Clustering +4

Fashion-Gen: The Generative Fashion Dataset and Challenge

3 code implementations21 Jun 2018 Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal

We introduce a new dataset of 293, 008 high definition (1360 x 1360 pixels) fashion images paired with item descriptions provided by professional stylists.

Image Generation

Speaker Diarization using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings

no code implementations9 Aug 2017 Pawel Cyrta, Tomasz Trzciński, Wojciech Stokowiec

In this paper we propose a new method of speaker diarization that employs a deep learning architecture to learn speaker embeddings.

speaker-diarization Speaker Diarization

What Looks Good with my Sofa: Multimodal Search Engine for Interior Design

1 code implementation21 Jul 2017 Ivona Tautkute, Aleksandra Możejko, Wojciech Stokowiec, Tomasz Trzciński, Łukasz Brocki, Krzysztof Marasek

In this paper, we propose a multi-modal search engine for interior design that combines visual and textual queries.

LanguageCrawl: A Generic Tool for Building Language Models Upon Common-Crawl

no code implementations LREC 2016 Szymon Roziewski, Wojciech Stokowiec

The web data contains immense amount of data, hundreds of billion words are waiting to be extracted and used for language research.

Language Modelling

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