| Predicting engagement breakdown in HRI using thin-slices of facial expressions T Liu, A Kappas Proceedings of the 2018 AAAI Workshop on Affective Content Analysis., 2018 | 8 | 2018 |
| Unsupervised post-processing of word vectors via conceptor negation T Liu, L Ungar, J Sedoc Proceedings of the 2019 AAAI Conference on Artificial Intelligence 33, 6778-6785, 2019 | 6 | 2019 |
| Continual learning for sentence representations using conceptors T Liu, L Ungar, J Sedoc Proceedings of the 2019 NAACL-HLT Conference 1, 3274--3279, 2019 | 6 | 2019 |
| Reservoir transfer on analog neuromorphic hardware X He, T Liu, F Hadaeghi, H Jaeger Proceedings of the 9th International IEEE/EMBS Conference on Neural …, 2019 | 5 | 2019 |
| Correcting the common discourse bias in linear representation of sentences using conceptors T Liu, J Sedoc, L Ungar Proceedings of the 2018 ACM-BCB Workshop, 2018 | 5 | 2018 |
| Binary compressive sensing via smoothed gradient descent T Liu, DG Lee Proceedings of 5th International Workshop on Compressed Sensing Theory and …, 2018 | 1 | 2018 |
| Finding trainable sparse networks through Neural Tangent Transfer T Liu, F Zenke Proceedings of ICML2020, 2020 | | 2020 |
| Causally denoise word embeddings using Half-Sibling Regression Z Yang, T Liu Proceedings of the 2020 AAAI Conference on Artificial Intelligence, 2019 | | 2019 |
| Harnessing slow dynamics in neuromorphic computation T Liu Master's thesis, Jacobs University Bremen, 2019 | | 2019 |
| A consistent method for learning OOMs from asymptotically stationary time series data containing missing values T Liu arXiv preprint arXiv:1808.03873, 2018 | | 2018 |
| Estimating gradual-emotional behavior in one-minute videos with ESNs T Liu, A Kappas arXiv preprint arXiv:1805.08690, 2018 | | 2018 |
Lyle UngarUniversity of PennsylvaniaVerified email at cis.upenn.edu
