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Giannis Karamanolakis
Giannis Karamanolakis
Other namesIoannis Karamanolakis
Applied Scientist, Amazon AGI
Verified email at cs.columbia.edu - Homepage
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Year
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
4892022
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
1902022
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
1282022
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
992021
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
902020
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
672020
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
572018
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
452019
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
172020
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
132019
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
112021
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
62016
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
42019
Transfer Learning for Style-Specific Text Generation
KI Gero, G Karamanolakis, L Chilton
Workshop on Machine Learning for Creativity and Design, NeurIPS 2018, 2018
32018
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
22016
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
12020
Interactive Machine Teaching by Labeling Rules and Instances
G Karamanolakis, D Hsu, L Gravaano
Transactions of the Association for Computational Linguistics 12, 1441-1459, 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
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