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Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding., , , and . CoRR, (2023)Factorization-Aware Training of Transformers for Natural Language Understanding on the Edge., , , and . Interspeech, page 4733-4737. ISCA, (2021)Using Productive Collaboration Bursts to Analyze Open Source Collaboration Effectiveness., , , and . SANER, page 400-410. IEEE, (2020)Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding., , , , , , , and . ICASSP, page 7157-7161. IEEE, (2022)Linguistic Markers of Influence in Informal Interactions., , , , , and . NLP+CSS@ACL, page 53-62. Association for Computational Linguistics, (2017)In Pursuit of Babel - Multilingual End-to-End Spoken Language Understanding., , , , and . ASRU, page 1042-1049. IEEE, (2021)Extreme Model Compression for On-device Natural Language Understanding., , and . COLING (Industry), page 160-171. International Committee on Computational Linguistics, (2020)Deep Neural Model Inspection and Comparison via Functional Neuron Pathways., , and . ACL (1), page 5754-5764. Association for Computational Linguistics, (2019)Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding., , , , , and . CoRR, (2020)Pyramid Dynamic Inference: Encouraging Faster Inference Via Early Exit Boosting., , , , , and . ICASSP, page 1-5. IEEE, (2023)