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2020 – today
- 2024
[i1]Hiroyuki Tokunaga, Joel Nicholls, Daria Vazhenina, Atsunori Kanemura:
Pixel Embedding: Fully Quantized Convolutional Neural Network with Differentiable Lookup Table. CoRR abs/2407.16174 (2024)- 2023
- [c9]Nicolas Bougie, Daria Vazhenina, Narimasa Watanabe:
Lost and Found: How Self-Supervised Learning Helps GPS Coordinates Find Their Way. ACML 2023: 185-200 - 2020
- [c8]Daria Vazhenina, Atsunori Kanemura:
Gated Extra Memory Recurrent Unit for Learning Video Representations. JSAI 2020: 166-174
2010 – 2019
- 2019
- [c7]Daria Vazhenina, Atsunori Kanemura
:
Reducing the Number of Multiplications in Convolutional Recurrent Neural Networks (ConvRNNs). JSAI 2019: 45-52 - 2014
- [j1]Alexey Karpov, Konstantin Markov, Irina S. Kipyatkova, Daria Vazhenina, Andrey Ronzhin:
Large vocabulary Russian speech recognition using syntactico-statistical language modeling. Speech Commun. 56: 213-228 (2014) - [c6]Daria Vazhenina, Konstantin Markov:
Sequence memoizer based language model for Russian speech recognition. SLTU 2014: 183-187 - 2013
- [c5]Daria Vazhenina, Konstantin Markov:
Factored language modeling for Russian LVCSR. iCAST/UMEDIA 2013: 205-211 - [c4]Daria Vazhenina, Konstantin Markov:
Evaluation of Advanced Language Modeling Techniques for Russian LVCSR. SPECOM 2013: 124-131 - 2012
- [c3]Daria Vazhenina, Irina S. Kipyatkova, Konstantin Markov, Alexey Karpov:
State-of-the-art speech recognition technologies for Russian language. HCCE 2012: 59-63 - 2011
- [c2]Daria Vazhenina, Konstantin Markov:
Phoneme set selection for russian speech recognition. NLPKE 2011: 475-478 - 2010
- [c1]Daria Vazhenina, Konstantin Markov:
Recent Developments in the Russian Speech Recognition Technology. ACIS-ICIS 2010: 535-537
Coauthor Index
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