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Learning Associative Inference Using Fast Weight Memory.

I. Schlag, T. Munkhdalai, and J. Schmidhuber. CoRR, (2020)

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A Self-training with Active Example Selection Criterion for Biomedical Named Entity Recognition.E. Shin, T. Munkhdalai, M. Li, I. Paik, and K. Ryu. ICHIT (1), volume 7425 of Lecture Notes in Computer Science, page 485-492. Springer, (2012)Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm.W. Wang, Z. Wu, D. Caseiro, T. Munkhdalai, K. Sim, P. Rondon, G. Pundak, G. Song, R. Prabhavalkar, Z. Meng and 3 other author(s). CoRR, (2023)NAM+: Towards Scalable End-to-End Contextual Biasing for Adaptive ASR.T. Munkhdalai, Z. Wu, G. Pundak, K. Sim, J. Li, P. Rondon, and T. Sainath. SLT, page 190-196. IEEE, (2022)Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models.T. Munkhdalai, Y. Chen, K. Sim, F. Biadsy, T. Sainath, and P. Mengibar. CoRR, (2024)Rapid Adaptation with Conditionally Shifted Neurons.T. Munkhdalai, X. Yuan, S. Mehri, and A. Trischler. ICML, volume 80 of Proceedings of Machine Learning Research, page 3661-3670. PMLR, (2018)Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP.T. Bansal, K. Gunasekaran, T. Wang, T. Munkhdalai, and A. McCallum. EMNLP (1), page 5812-5824. Association for Computational Linguistics, (2021)Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR.Z. Wu, G. Song, C. Li, P. Rondon, Z. Meng, X. Velez, W. Wang, D. Caseiro, G. Pundak, T. Munkhdalai and 2 other author(s). CoRR, (2024)Dual-Mode NAM: Effective Top-K Context Injection for End-to-End ASR.Z. Wu, T. Munkhdalai, P. Rondon, G. Pundak, K. Sim, and C. Li. INTERSPEECH, page 221-225. ISCA, (2023)On-the-fly ASR Corrections with Audio Exemplars.G. Pundak, T. Munkhdalai, and K. Sim. INTERSPEECH, page 3148-3152. ISCA, (2022)Learning Associative Inference Using Fast Weight Memory.I. Schlag, T. Munkhdalai, and J. Schmidhuber. CoRR, (2020)

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Learning Associative Inference Using Fast Weight Memory.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Associative Inference Using Fast Weight Memory.

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Learning Associative Inference Using Fast Weight Memory.