Pierre L. Dognin

Orcid: 0000-0001-5688-6005

According to our database1, Pierre L. Dognin authored at least 41 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Programming Refusal with Conditional Activation Steering.
CoRR, 2024

Value Alignment from Unstructured Text.
CoRR, 2024

Contextual Moral Value Alignment Through Context-Based Aggregation.
CoRR, 2024

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.
CoRR, 2024

ComVas: Contextual Moral Values Alignment System.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
The incentive gap in data work in the era of large models.
Nat. Mac. Intell., June, 2023

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs.
CoRR, 2023

2022
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
J. Artif. Intell. Res., 2022

Cloud-Based Real-Time Molecular Screening Platform with MolFormer.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Knowledge Graph Generation From Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Tabular Transformers for Modeling Multivariate Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2021

ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improved Mutual Information Estimation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Alleviating Noisy Data in Image Captioning with Cooperative Distillation.
CoRR, 2020

DualTKB: A Dual Learning Bridge between Text and Knowledge Base.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Implicit Text Generation via Feature Matching.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Wasserstein Barycenter Model Ensembling.
Proceedings of the 7th International Conference on Learning Representations, 2019

Improved Adversarial Image Captioning.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Learning Implicit Generative Models by Matching Perceptual Features.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Semantic Alignment for Improved Image Captions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Improved Image Captioning with Adversarial Semantic Alignment.
CoRR, 2018

2015
Annealed dropout trained maxout networks for improved LVCSR.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2013
Adaptive stereo-based stochastic mapping.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Direct product based deep belief networks for automatic speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
Hidden Markov Acoustic Modeling With Bootstrap and Restructuring for Low-Resourced Languages.
IEEE Trans. Speech Audio Process., 2012

Factorial Hidden Restricted Boltzmann Machines for noise robust speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Robust speech recognition using dynamic noise adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Matched-condition robust Dynamic Noise Adaptation.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
Restructuring exponential family mixture models.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

Acoustic modeling with bootstrap and restructuring for low-resourced languages.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

2009
Refactoring acoustic models using variational expectation-maximization.
Proceedings of the 10th Annual Conference of the International Speech Communication Association, 2009

Refactoring acoustic models using variational density approximation.
Proceedings of the IEEE International Conference on Acoustics, 2009

A fast, accurate approximation to log likelihood of Gaussian mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Beyond linear transforms: efficient non-linear dynamic adaptation for noise robust speech recognition.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

2003
A new spectral transformation for speaker normalization.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002
The 2001 BYBLOS English large vocabulary conversational speech recognition system.
Proceedings of the IEEE International Conference on Acoustics, 2002

2000
Parameter optimization for vocal tract length normalization.
Proceedings of the IEEE International Conference on Acoustics, 2000


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