Kazuki Irie
According to our database1,
Kazuki Irie
authored at least 50 papers
between 2014 and 2024.
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Bibliography
2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
Neural Comput., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks.
CoRR, 2022
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention.
Proceedings of the International Conference on Machine Learning, 2022
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization.
Proceedings of the Tenth International Conference on Learning Representations, 2022
CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
CoRR, 2019
CoRR, 2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2018
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Investigation on Estimation of Sentence Probability by Combining Forward, Backward and Bi-directional LSTM-RNNs.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
Prediction of LSTM-RNN Full Context States as a Subtask for N-Gram Feedforward Language Models.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Proceedings of the Speech and Computer - 19th International Conference, 2017
Investigations on byte-level convolutional neural networks for language modeling in low resource speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Proceedings of the Speech and Computer - 18th International Conference, 2016
LSTM, GRU, Highway and a Bit of Attention: An Empirical Overview for Language Modeling in Speech Recognition.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
Investigation on log-linear interpolation of multi-domain neural network language model.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Bag-of-words input for long history representation in neural network-based language models for speech recognition.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015
On efficient training of word classes and their application to recurrent neural network language models.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015
2014
Proceedings of the IEEE International Conference on Acoustics, 2014