Published on May 26, 2023
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Updated on May 30, 2023
3IA Chair papers accepted at the Fortieth International Conference on Machine Learning.
The Inria Maasai team had 4 papers accepted at ICML 2023, two of them involve 3IA-funded researchers! Topics include interpretability (Senetaire et al., Barbiero et al., 2023), NLP (Catellier et al., 2023), and semi-supervised learning (Sportisse et al., 2023). The conference will be held on July 23 in Hawaii.
The papers:
Barbiero et al., Interpretable Neural-Symbolic Concept Reasoning , ICML 2023, https://arxiv.org/abs/2304.14068
Catellier et al., On the Robustness of Text Vectorizers, ICML 2023, https://arxiv.org/abs/2303.07203
Senetaire et al., Explainability as statistical inference, ICML 2023, https://arxiv.org/abs/2212.03131
Sportisse et al., Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism, ICML 2023, https://arxiv.org/abs/2302.07540
The papers:
Barbiero et al., Interpretable Neural-Symbolic Concept Reasoning , ICML 2023, https://arxiv.org/abs/2304.14068
Catellier et al., On the Robustness of Text Vectorizers, ICML 2023, https://arxiv.org/abs/2303.07203
Senetaire et al., Explainability as statistical inference, ICML 2023, https://arxiv.org/abs/2212.03131
Sportisse et al., Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism, ICML 2023, https://arxiv.org/abs/2302.07540
