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SqueezeBERT: What can computer vision teach NLP about efficient neural networks?

, , , and . SustaiNLP@EMNLP, page 124-135. Association for Computational Linguistics, (2020)

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SqueezeBERT: What can computer vision teach NLP about efficient neural networks?, , , and . SustaiNLP@EMNLP, page 124-135. Association for Computational Linguistics, (2020)Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources., , , , , , , and . CoRR, (2020)Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation., , , , , , , , , and . CoRR, (2020)CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions., , , , , , , and . AAAI, page 2620-2627. AAAI Press, (2019)Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources., , , , , , , and . WWW, page 541-552. ACM / IW3C2, (2021)A Review of: "Information Ethics: Privacy, Property, and Power, edited by Adam D. Moore. Seattle: University of Washington Press, 2005, 456 pp, ISBN 0-295-98489-9.".. Inf. Soc., 23 (2): 143-144 (2007)Accurate and efficient unions of balls., and . SCG, page 119-128. ACM, (2000)Spectral watertight surface reconstruction., , and . SIGGRAPH, ACM, (2003)Provably good moving least squares.. ACM Trans. Algorithms, 4 (2): 18:1-18:25 (2008)Exploiting jump-resonance hysteresis in silicon cochlea for formant trajectory encoding., , and . MWSCAS, page 85-88. IEEE, (2012)