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07/17/2023
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts
End-to-end automatic speech translation (AST) relies on data that combin...
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02/27/2023
Make Every Example Count: On Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
Increasingly larger datasets have become a standard ingredient to advanc...
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12/06/2021
Scaling Up Influence Functions
We address efficient calculation of influence functions for tracking pre...
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10/13/2021
Bandits Don't Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits
Training data for machine translation (MT) is often sourced from a multi...
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09/16/2021
Don't Search for a Search Method – Simple Heuristics Suffice for Adversarial Text Attacks
Recently more attention has been given to adversarial attacks on neural ...
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09/09/2021
Fixing exposure bias with imitation learning needs powerful oracles
We apply imitation learning (IL) to tackle the NMT exposure bias problem...
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04/20/2021
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era
Text encodings from automatic speech recognition (ASR) transcripts and a...
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04/05/2021
Real-time Streaming Wave-U-Net with Temporal Convolutions for Multichannel Speech Enhancement
In this paper, we describe the work that we have done to participate in ...
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03/22/2021
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
With the success of large-scale pre-training and multilingual modeling i...
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06/02/2020
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
Interest in stochastic zeroth-order (SZO) methods has recently been revi...
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10/02/2018
Learning to Segment Inputs for NMT Favors Character-Level Processing
Most modern neural machine translation (NMT) systems rely on presegmente...
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10/02/2018
Optimally Segmenting Inputs for NMT Shows Preference for Character-Level Processing
Most modern neural machine translation (NMT) systems rely on presegmente...
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06/12/2018
Sparse Stochastic Zeroth-Order Optimization with an Application to Bandit Structured Prediction
Stochastic zeroth-order (SZO), or gradient-free, optimization allows to ...
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12/15/2017
Sockeye: A Toolkit for Neural Machine Translation
We describe Sockeye (version 1.12), an open-source sequence-to-sequence ...
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07/28/2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation
The goal of counterfactual learning for statistical machine translation ...
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07/27/2017
A Shared Task on Bandit Learning for Machine Translation
We introduce and describe the results of a novel shared task on bandit l...
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04/21/2017
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
Bandit structured prediction describes a stochastic optimization framewo...
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06/02/2016
Stochastic Structured Prediction under Bandit Feedback
Stochastic structured prediction under bandit feedback follows a learnin...
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01/18/2016
