Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Publications
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23 results for Pierre Dognin
Wasserstein barycenter model ensembling
- Pierre Dognin
- Igor Melnyk
- et al.
- 2019
- ICLR 2019
Tabular Transformers for Modeling Multivariate Time Series
- Inkit Padhi
- Yair Schiff
- et al.
- 2021
- ICASSP 2021
Knowledge Graph Generation From Text
- Igor Melnyk
- Pierre Dognin
- et al.
- 2022
- EMNLP 2022
Learning implicit generative models by matching perceptual features
- Cicero Nogueira Dos Santos
- Youssef Mroueh
- et al.
- 2019
- ICCV 2019
Adversarial semantic alignment for improved image captions
- Pierre Dognin
- Igor Melnyk
- et al.
- 2019
- CVPR 2019
Improved adversarial image captioning
- Pierre Dognin
- Igor Melnyk
- et al.
- 2019
- DGS@ICLR Workshop 2019
Annealed dropout trained maxout networks for improved LVCSR
- Steven Rennie
- Pierre Dognin
- et al.
- 2015
- ICASSP 2015
Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task
- Petr Fousek
- Pierre Dognin
- et al.
- 2015
- ICASSP 2015
Combining stochastic average gradient and Hessian-free optimization for sequence training of deep neural networks
- Pierre Dognin
- Vaibhava Goel
- 2013
- ASRU 2013