Andrey Malinin
According to our database1,
Andrey Malinin
authored at least 31 papers
between 2009 and 2023.
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Bibliography
2023
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation.
CoRR, 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search Degradation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Uncertainty estimation in deep learning with application to spoken language assessment.
PhD thesis, 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Interspeech 2018, 2018
2017
An attention based model for off-topic spontaneous spoken response detection: An Initial Study.
Proceedings of the 7th ISCA International Workshop on Speech and Language Technology in Education, 2017
A hierarchical attention based model for off-topic spontaneous spoken response detection.
Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
2009
Proceedings of the 10th European Control Conference, 2009