Michael Nirschl
Publications by Year
Research Areas
Topic Modeling, Speech Recognition and Synthesis, Natural Language Processing Techniques, Domain Adaptation and Few-Shot Learning, Genomics and Phylogenetic Studies
Most-Cited Works
- → Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling(2019)183 cited
- → Lattice rescoring strategies for long short term memory language models in speech recognition(2017)40 cited
- → Approaches for Neural-Network Language Model Adaptation(2017)31 cited
- → RADMM: Recurrent Adaptive Mixture Model with Applications to Domain Robust Language Modeling(2018)22 cited
- → Modeling Non-Linguistic Contextual Signals in LSTM Language Models Via Domain Adaptation(2018)8 cited