| Unsupervised post-processing of word vectors via conceptor negation T Liu, L Ungar, J Sedoc Proceedings of the AAAI Conference on Artificial Intelligence 33, 6778-6785, 2019 | 5 | 2019 |
| Reservoir transfer on analog neuromorphic hardware X He, T Liu, F Hadaeghi, H Jaeger 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER …, 2019 | 4 | 2019 |
| Correcting the common discourse bias in linear representation of sentences using conceptors T Liu, J Sedoc, L Ungar arXiv preprint arXiv:1811.11002, 2018 | 4 | 2018 |
| Predicting engagement breakdown in HRI using thin-slices of facial expressions T Liu, A Kappas Workshops at the thirty-second AAAI conference on artificial intelligence, 2018 | 4 | 2018 |
| Continual learning for sentence representations using conceptors T Liu, L Ungar, J Sedoc arXiv preprint arXiv:1904.09187, 2019 | 3 | 2019 |
| Binary Compressive Sensing via Smoothed Gradient Descent T Liu, DG Lee arXiv preprint arXiv:1801.09937, 2018 | 1 | 2018 |
| Causally Denoise Word Embeddings Using Half-Sibling Regression Z Yang, T Liu arXiv preprint arXiv:1911.10524, 2019 | | 2019 |
| Harnessing Slow Dynamics in Neuromorphic Computation T Liu arXiv preprint arXiv:1905.12116, 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
