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Luke Melas-Kyriazi
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Pixmatch: Unsupervised domain adaptation via pixelwise consistency training
L Melas-Kyriazi, AK Manrai
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
512021
Do you even need attention? a stack of feed-forward layers does surprisingly well on imagenet
L Melas-Kyriazi
arXiv preprint arXiv:2105.02723, 2021
502021
Training for diversity in image paragraph captioning
L Melas-Kyriazi, AM Rush, G Han
proceedings of the 2018 conference on empirical methods in natural language …, 2018
482018
Show, edit and tell: a framework for editing image captions
F Sammani, L Melas-Kyriazi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
432020
Encoder-agnostic adaptation for conditional language generation
ZM Ziegler, L Melas-Kyriazi, S Gehrmann, AM Rush
arXiv preprint arXiv:1908.06938, 2019
432019
Finding an unsupervised image segmenter in each of your deep generative models
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
International Conference on Learning Representations, 2022
232022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
202022
Prediction of chronological and biological age from laboratory data
L Sagers, L Melas-Kyriazi, CJ Patel, AK Manrai
Aging (Albany NY) 12 (9), 7626, 2020
192020
The mathematical foundations of manifold learning
L Melas-Kyriazi
arXiv preprint arXiv:2011.01307, 2020
142020
Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings
L Melas-Kyriazi, G Han, C Liang
EMNLP 2019 Workshop on Deep Learning for Low-resource NLP, 2020
72020
Prompt-and-rerank: A method for zero-shot and few-shot arbitrary textual style transfer with small language models
M Suzgun, L Melas-Kyriazi, D Jurafsky
arXiv preprint arXiv:2205.11503, 2022
42022
Follow the wisdom of the crowd: Effective text generation via minimum bayes risk decoding
M Suzgun, L Melas-Kyriazi, D Jurafsky
arXiv preprint arXiv:2211.07634, 2022
22022
The Geometry of Semi-Supervised Learning
L Melas-Kyriazi
PhD thesis, 2020
22020
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
M Suzgun, L Melas-Kyriazi, SK Sarkar, SD Kominers, SM Shieber
arXiv preprint arXiv:2207.04043, 2022
12022
Intrinsic Gradient Compression for Scalable and Efficient Federated Learning
L Melas-Kyriazi, F Wang
Proceedings of the First Workshop on Federated Learning for Natural Language …, 2022
12022
Intrinisic Gradient Compression for Federated Learning
L Melas-Kyriazi, F Wang
arXiv preprint arXiv:2112.02656, 2021
2021
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