| Deep Canonical Correlation Analysis G Andrew, R Arora, J Bilmes, K Livescu International Conference on Machine Learning, 2013 | 2431 | 2013 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 1293 | 2022 |
| On Deep Multi-View Representation Learning W Wang, R Arora, K Livescu, J Bilmes ICML, 2015 | 1199 | 2015 |
| Multi-view clustering via canonical correlation analysis K Chaudhuri, SM Kakade, K Livescu, K Sridharan Proceedings of the 26th annual international conference on machine learning …, 2009 | 970 | 2009 |
| Towards universal paraphrastic sentence embeddings J Wieting, M Bansal, K Gimpel, K Livescu ICLR, 2016 | 749 | 2016 |
| Self-supervised speech representation learning: A review A Mohamed, H Lee, L Borgholt, JD Havtorn, J Edin, C Igel, K Kirchhoff, ... IEEE Journal of Selected Topics in Signal Processing 16 (6), 1179-1210, 2022 | 401 | 2022 |
| Tailoring continuous word representations for dependency parsing M Bansal, K Gimpel, K Livescu Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 388 | 2014 |
| From paraphrase database to compositional paraphrase model and back J Wieting, M Bansal, K Gimpel, K Livescu, D Roth TACL, 2015 | 326 | 2015 |
| Layer-wise analysis of a self-supervised speech representation model A Pasad, JC Chou, K Livescu 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 319 | 2021 |
| Charagram: Embedding words and sentences via character n-grams J Wieting, M Bansal, K Gimpel, K Livescu EMNLP, 2016 | 255 | 2016 |
| Speech production knowledge in automatic speech recognition S King, J Frankel, K Livescu, E McDermott, K Richmond, M Wester The Journal of the Acoustical Society of America 121 (2), 723-742, 2007 | 255 | 2007 |
| Pre-training on high-resource speech recognition improves low-resource speech-to-text translation S Bansal, H Kamper, K Livescu, A Lopez, S Goldwater arXiv preprint arXiv:1809.01431, 2018 | 215 | 2018 |
| A comparison of techniques for language model integration in encoder-decoder speech recognition S Toshniwal, A Kannan, CC Chiu, Y Wu, TN Sainath, K Livescu 2018 IEEE spoken language technology workshop (SLT), 369-375, 2018 | 202 | 2018 |
| Deep convolutional acoustic word embeddings using word-pair side information H Kamper, W Wang, K Livescu 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 197 | 2016 |
| Stochastic Optimization for PCA and PLS R Arora, A Cotter, K Livescu, N Srebro 50th Annual Allerton Conference on Communication, Control, and Computing, 2012 | 188 | 2012 |
| Deep variational canonical correlation analysis W Wang, X Yan, H Lee, K Livescu arXiv preprint arXiv:1610.03454, 2016 | 186 | 2016 |
| Unsupervised learning of acoustic features via deep canonical correlation analysis W Wang, R Arora, K Livescu, JA Bilmes 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 166 | 2015 |
| Articulatory feature-based methods for acoustic and audio-visual speech recognition: Summary from the 2006 JHU summer workshop K Livescu, O Cetin, M Hasegawa-Johnson, S King, C Bartels, N Borges, ... 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 162 | 2007 |
| Deep multilingual correlation for improved word embeddings A Lu, W Wang, M Bansal, K Gimpel, K Livescu Proceedings of the 2015 conference of the North American chapter of the …, 2015 | 161 | 2015 |
| Fixed-dimensional acoustic embeddings of variable-length segments in low-resource settings K Levin, K Henry, A Jansen, K Livescu 2013 IEEE workshop on automatic speech recognition and understanding, 410-415, 2013 | 145 | 2013 |
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