| Item recommendation with variational autoencoders and heterogeneous priors G Karamanolakis, KR Cherian, AR Narayan, J Yuan, D Tang, T Jebara Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, 10-14, 2018 | 23 | 2018 |
| Leveraging just a few keywords for fine-grained aspect detection through weakly supervised co-training G Karamanolakis, D Hsu, L Gravano Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 19 | 2019 |
| AutoKnow: Self-driving knowledge collection for products of thousands of types XL Dong, X He, A Kan, X Li, Y Liang, J Ma, YE Xu, C Zhang, T Zhao, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 12 | 2020 |
| TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories G Karamanolakis, J Ma, XL Dong Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 9 | 2020 |
| Audio-Based Distributional Representations of Meaning Using a Fusion of Feature Encodings. G Karamanolakis, E Iosif, A Zlatintsi, A Pikrakis, A Potamianos Interspeech, 3658-3662, 2016 | 7 | 2016 |
| Cross-lingual text classification with minimal resources by transferring a sparse teacher G Karamanolakis, D Hsu, L Gravano Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 5 | 2020 |
| Self-Training with Weak Supervision G Karamanolakis, S Mukherjee, G Zheng, AH Awadallah Proceedings of the 2021 Annual Conference of the North American Chapter of …, 2021 | 4 | 2021 |
| Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health G Karamanolakis, D Hsu, L Gravano Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT@EMNLP 2019), 2019 | 3 | 2019 |
| Training neural networks for aspect extraction using descriptive keywords only G Karamanolakis, D Hsu, L Gravano Proceedings of the 2nd Learning from Limited Labeled Data Workshop (LLD@ICLR …, 2019 | 2 | 2019 |
| Quantifying the Effects of COVID-19 on Restaurant Reviews I Cao, Z Liu, G Karamanolakis, D Hsu, L Gravano Proceedings of the Ninth International Workshop on Natural Language …, 2021 | 1 | 2021 |
| Audio-based distributional semantic models for music auto-tagging and similarity measurement G Karamanolakis, E Iosif, A Zlatintsi, A Pikrakis, A Potamianos Proceedings of the workshop on multimodal signal processing, computer vision …, 2016 | 1 | 2016 |
| WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding G Zheng, G Karamanolakis, K Shu, AH Awadallah arXiv preprint arXiv:2108.12603, 2021 | | 2021 |
| Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only Z Liu, G Karamanolakis, D Hsu, L Gravano Proceedings of the 11th International Workshop on Health Text Mining and …, 2020 | | 2020 |
| Transfer Learning for Style-Specific Text Generation KI Gero, G Karamanolakis, L Chilton Workshop on Machine Learning for Creativity and Design, NeurIPS 2018, 2018 | | 2018 |
| Πολυτροπικές Σημασιολογικές Αναπαραστάσεις Λέξεων Με Βάση Την Ανθρώπινη Αντίληψη Κ Ιωάννης | | 2017 |
| Sensory-Aware Multimodal Fusion for Word Semantic Similarity Estimation G Paraskevopoulos, G Karamanolakis, E Iosif, A Pikrakis, A Potamianos MultiLearn Workshop, 2017 | | 2017 |
| Supplementary Material for W-NUT 2019 Paper: Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health G Karamanolakis, D Hsu, L Gravano | | |
Daniel HsuColumbia UniversityVerified email at cs.columbia.edu
