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11/14/2022
High-Resource Methodological Bias in Low-Resource Investigations
The central bottleneck for low-resource NLP is typically regarded to be ...
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09/07/2022
AudioLM: a Language Modeling Approach to Audio Generation
We introduce AudioLM, a framework for high-quality audio generation with...
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02/03/2022
Learning strides in convolutional neural networks
Convolutional neural networks typically contain several downsampling ope...
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11/17/2021
Minimum Bayes Risk Decoding with Neural Metrics of Translation Quality
This work applies Minimum Bayes Risk (MBR) decoding to optimize diverse ...
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09/21/2021
The Trade-offs of Domain Adaptation for Neural Language Models
In this paper, we connect language model adaptation with concepts of mac...
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09/15/2021
On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation
Domain adaptation of neural networks commonly relies on three training p...
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08/25/2021
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral
While deep learning has been very beneficial in data-rich settings, task...
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06/30/2021
What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs?
Whereas existing literature on unsupervised machine translation (MT) foc...
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05/28/2021
DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding
We introduce DIVE, an end-to-end speaker diarization algorithm. Our neur...
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04/29/2021
Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation
Human evaluation of modern high-quality machine translation systems is a...
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10/21/2020
Contrastive Learning of General-Purpose Audio Representations
We introduce COLA, a self-supervised pre-training approach for learning ...
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10/20/2020
Human-Paraphrased References Improve Neural Machine Translation
Automatic evaluation comparing candidate translations to human-generated...
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05/11/2020
Toward Better Storylines with Sentence-Level Language Models
We propose a sentence-level language model which selects the next senten...
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04/13/2020
BLEU might be Guilty but References are not Innocent
The quality of automatic metrics for machine translation has been increa...
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03/12/2020
Efficient Content-Based Sparse Attention with Routing Transformers
Self-attention has recently been adopted for a wide range of sequence mo...
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02/20/2020
Wavesplit: End-to-End Speech Separation by Speaker Clustering
We introduce Wavesplit, an end-to-end speech separation system. From a s...
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11/10/2019
Translationese as a Language in "Multilingual" NMT
Machine translation has an undesirable propensity to produce "translatio...
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07/22/2019
ELI5: Long Form Question Answering
We introduce the first large-scale corpus for long-form question answeri...
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06/15/2019
Tagged Back-Translation
Recent work in Neural Machine Translation (NMT) has shown significant qu...
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05/29/2019
Unsupervised Paraphrasing without Translation
Paraphrasing exemplifies the ability to abstract semantic content from s...
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04/01/2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq is an open-source sequence modeling toolkit that allows research...
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01/21/2019
Modeling Human Motion with Quaternion-based Neural Networks
Previous work on predicting or generating 3D human pose sequences regres...
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11/28/2018
3D human pose estimation in video with temporal convolutions and semi-supervised training
In this work, we demonstrate that 3D poses in video can be effectively e...
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08/28/2018
Understanding Back-Translation at Scale
An effective method to improve neural machine translation with monolingu...
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06/01/2018
Scaling Neural Machine Translation
Sequence to sequence learning models still require several days to reach...
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05/16/2018
QuaterNet: A Quaternion-based Recurrent Model for Human Motion
Deep learning for predicting or generating 3D human pose sequences is an...
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11/14/2017
Controllable Abstractive Summarization
Current models for document summarization ignore user preferences such a...
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11/14/2017
Classical Structured Prediction Losses for Sequence to Sequence Learning
There has been much recent work on training neural attention models at t...
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11/13/2017
QuickEdit: Editing Text & Translations via Simple Delete Actions
We propose a framework for computer-assisted text editing. It applies to...
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05/08/2017
Convolutional Sequence to Sequence Learning
The prevalent approach to sequence to sequence learning maps an input se...
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12/23/2016
Language Modeling with Gated Convolutional Networks
The pre-dominant approach to language modeling to date is based on recur...
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11/07/2016
A Convolutional Encoder Model for Neural Machine Translation
The prevalent approach to neural machine translation relies on bi-direct...
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10/20/2016
Iterative Refinement for Machine Translation
Existing machine translation decoding algorithms generate translations i...
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10/01/2016
Vocabulary Selection Strategies for Neural Machine Translation
Classical translation models constrain the space of possible outputs by ...
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09/14/2016
Efficient softmax approximation for GPUs
We propose an approximate strategy to efficiently train neural network b...
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06/24/2016
Interactive Semantic Featuring for Text Classification
In text classification, dictionaries can be used to define human-compreh...
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03/24/2016
Neural Text Generation from Structured Data with Application to the Biography Domain
This paper introduces a neural model for concept-to-text generation that...
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12/15/2015
Strategies for Training Large Vocabulary Neural Language Models
Training neural network language models over large vocabularies is still...
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09/16/2014