David Alvarez-Melis
David Alvarez-Melis has 2 papers in our library, in 2018–2024, most of them on Efficient models & compression; often with Tommi Jaakkola.
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📄 2 works in our library · 🔗 Cited 70 times in our library · ⭐ Paper Stars ranking: #5356
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 1Research subjects and languages the work is about.Efficient models & compression · 1 work
Works by year
2020s
2010s
Papers
- Gromov-Wasserstein Alignment of Word Embedding Spaces (2018 · 338 citations)
The paper addresses unsupervised bilingual lexical induction: matching words across two languages using only monolingual embeddings, with no parallel data. - A Label is Worth a Thousand Images in Dataset Distillation (2024 · 8 citations)
Dataset distillation compresses a large training set into a small synthetic one that trains models almost as well, but leading methods generate synthetic images in very different ways, so it is unclear what drives their success.
Co-authors here
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2018
- Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
Cited by
Updated
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