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2020 – today
- 2023
[c5]Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens:
Perceptual Grouping in Contrastive Vision-Language Models. ICCV 2023: 5548-5561- 2022
- [i5]Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens:
Perceptual Grouping in Vision-Language Models. CoRR abs/2210.09996 (2022) - 2020
- [i4]Yangsibo Huang, Yushan Su, Sachin Ravi, Zhao Song, Sanjeev Arora, Kai Li:
Privacy-preserving Learning via Deep Net Pruning. CoRR abs/2003.01876 (2020) - [i3]Sachin Ravi, Sebastian Musslick, Maia Hamin, Theodore L. Willke, Jonathan D. Cohen:
Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks. CoRR abs/2007.10527 (2020)
2010 – 2019
- 2019
- [b1]Sachin Ravi:
Meta-Learning for Data and Processing Efficiency. Princeton University, USA, 2019 - [c4]Sachin Ravi, Alex Beatson:
Amortized Bayesian Meta-Learning. ICLR (Poster) 2019 - 2018
- [c3]Sachin Ravi, Hugo Larochelle:
Meta-Learning for Batch Mode Active Learning. ICLR (Workshop) 2018 - [c2]Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel:
Meta-Learning for Semi-Supervised Few-Shot Classification. ICLR (Poster) 2018 - [i2]Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel:
Meta-Learning for Semi-Supervised Few-Shot Classification. CoRR abs/1803.00676 (2018) - 2017
- [c1]Sachin Ravi, Hugo Larochelle:
Optimization as a Model for Few-Shot Learning. ICLR 2017 - 2015
- [i1]Eric T. Nalisnick, Sachin Ravi:
Infinite Dimensional Word Embeddings. CoRR abs/1511.05392 (2015)
Coauthor Index
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