| Super-naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Arunkumar, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 480 | 2022 |
| Sujan Reddy A, Sumanta Patro, Tanay Dixit, and Xudong Shen. 2022. Super-NaturalInstructions: Generalization via declarative instructions on 1600+ NLP tasks Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Naik, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 189 | 2022 |
| Benchmarking generalization via in-context instructions on 1,600+ language tasks Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Arunkumar, ... arXiv preprint arXiv:2204.07705 2, 2022 | 128 | 2022 |
| 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 | 98 | 2021 |
| 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 | 90 | 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 | 67 | 2020 |
| 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 | 56 | 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 | 45 | 2019 |
| 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 | 17 | 2020 |
| 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 | 13 | 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 | 11 | 2021 |
| 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 | 6 | 2016 |
| WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding G Zheng, G Karamanolakis, K Shu, AH Awadallah Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 4* | 2022 |
| 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 | 4 | 2019 |
| Transfer Learning for Style-Specific Text Generation KI Gero, G Karamanolakis, L Chilton Workshop on Machine Learning for Creativity and Design, NeurIPS 2018, 2018 | 3 | 2018 |
| 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 | 2 | 2016 |
| 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 | 1 | 2020 |
| Interactive Machine Teaching by Labeling Rules and Instances G Karamanolakis, D Hsu, L Gravano arXiv preprint arXiv:2409.05199, 2024 | | 2024 |
| Approximations may be all you need: Towards pre-training LLMs with low-rank decomposition and optimizers N Shivagunde, M Kulkarni, G Karamanolakis, JGM FitzGerald, Y Versley, ... | | 2024 |
| Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance T Pabari, B Tellman, G Karamanolakis, M Thomas, M Mauerman, E Wu, ... arXiv preprint arXiv:2312.14943, 2023 | | 2023 |
Daniel HsuColumbia UniversityEmail verificata su cs.columbia.edu
