research
∙
08/30/2023
Text-to-OverpassQL: A Natural Language Interface for Complex Geodata Querying of OpenStreetMap
We present Text-to-OverpassQL, a task designed to facilitate a natural l...
share
research
∙
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...
research
∙
07/17/2023
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training
Supervised learning in Neural Machine Translation (NMT) typically follow...
research
∙
07/12/2023
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View
Incremental decision making in real-world environments is one of the mos...
research
∙
02/08/2023
Towards Inferential Reproducibility of Machine Learning Research
Reliability of machine learning evaluation – the consistency of observed...
research
∙
10/27/2022
Make More of Your Data: Minimal Effort Data Augmentation for Automatic Speech Recognition and Translation
Data augmentation is a technique to generate new training data based on ...
research
∙
10/05/2022
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT
JoeyS2T is a JoeyNMT extension for speech-to-text tasks such as automati...
research
∙
09/01/2022
Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis
Ensembling neural networks is a long-standing technique for improving th...
research
∙
03/25/2022
Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas
Vision and language navigation (VLN) is a challenging visually-grounded ...
research
∙
03/16/2022
Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation
End-to-end speech translation relies on data that pair source-language s...
research
∙
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 ...
research
∙
06/23/2021
False perfection in machine prediction: Detecting and assessing circularity problems in machine learning
Machine learning algorithms train models from patterns of input data and...
research
∙
06/22/2021
Error-Aware Interactive Semantic Parsing of OpenStreetMap
In semantic parsing of geographical queries against real-world databases...
research
∙
04/03/2021
On-the-Fly Aligned Data Augmentation for Sequence-to-Sequence ASR
We propose an on-the-fly data augmentation method for automatic speech r...
research
∙
12/30/2020
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem
Car-focused navigation services are based on turns and distances of name...
research
∙
11/04/2020
Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP
Large volumes of interaction logs can be collected from NLP systems that...
research
∙
10/30/2020
Embedding Meta-Textual Information for Improved Learning to Rank
Neural approaches to learning term embeddings have led to improved compu...
research
∙
10/21/2020
Cascaded Models With Cyclic Feedback For Direct Speech Translation
Direct speech translation describes a scenario where only speech inputs ...
research
∙
06/02/2020
Sparse Perturbations for Improved Convergence in Stochastic Zeroth-Order Optimization
Interest in stochastic zeroth-order (SZO) methods has recently been revi...
research
∙
04/23/2020
Correct Me If You Can: Learning from Error Corrections and Markings
Sequence-to-sequence learning involves a trade-off between signal streng...
research
∙
10/17/2019
LibriVoxDeEn: A Corpus for German-to-English Speech Translation and Speech Recognition
We present a corpus of sentence-aligned triples of German audio, German ...
research
∙
09/20/2019
Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction
Sepsis is the leading cause of death in non-coronary intensive care unit...
research
∙
07/29/2019
Joey NMT: A Minimalist NMT Toolkit for Novices
We present Joey NMT, a minimalist neural machine translation toolkit bas...
research
∙
07/11/2019
Self-Regulated Interactive Sequence-to-Sequence Learning
Not all types of supervision signals are created equal: Different types ...
research
∙
07/06/2019
Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss
In many machine learning scenarios, supervision by gold labels is not av...
research
∙
07/04/2019
Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation
We propose an interactive-predictive neural machine translation framewor...
research
∙
11/29/2018
Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing
In semantic parsing for question-answering, it is often too expensive to...
research
∙
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 ...
research
∙
05/27/2018
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning
We present a study on reinforcement learning (RL) from human bandit feed...
research
∙
05/03/2018
A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation
We present an approach to interactive-predictive neural machine translat...
research
∙
05/03/2018
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
Counterfactual learning from human bandit feedback describes a scenario ...
research
∙
04/16/2018
Can Neural Machine Translation be Improved with User Feedback?
We present the first real-world application of methods for improving neu...
research
∙
12/13/2017
A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits
The advantages of neural machine translation (NMT) have been extensively...
research
∙
11/23/2017
Counterfactual Learning for Machine Translation: Degeneracies and Solutions
Counterfactual learning is a natural scenario to improve web-based machi...
research
∙
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 ...
research
∙
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...
research
∙
04/21/2017
Bandit Structured Prediction for Neural Sequence-to-Sequence Learning
Bandit structured prediction describes a stochastic optimization framewo...
research
∙
06/02/2016
Stochastic Structured Prediction under Bandit Feedback
Stochastic structured prediction under bandit feedback follows a learnin...
research
∙
01/18/2016
Bandit Structured Prediction for Learning from Partial Feedback in Statistical Machine Translation
We present an approach to structured prediction from bandit feedback, ca...
research
∙
01/15/2016
Multimodal Pivots for Image Caption Translation
We present an approach to improve statistical machine translation of ima...
research
∙
05/19/1999