no code implementations • 17 Dec 2020 • Lajanugen Logeswaran, Ann Lee, Myle Ott, Honglak Lee, Marc'Aurelio Ranzato, Arthur Szlam
In the simplest setting, we append a token to an input sequence which represents the particular task to be undertaken, and show that the embedding of this token can be optimized on the fly given few labeled examples.
3 code implementations • ACL 2019 • Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee
First, we show that strong reading comprehension models pre-trained on large unlabeled data can be used to generalize to unseen entities.
1 code implementation • NeurIPS 2018 • Lajanugen Logeswaran, Honglak Lee, Samy Bengio
We propose an adversarial loss to enforce generated samples to be attribute compatible and realistic.
5 code implementations • ICLR 2018 • Lajanugen Logeswaran, Honglak Lee
In this work we propose a simple and efficient framework for learning sentence representations from unlabelled data.
2 code implementations • 8 Nov 2016 • Lajanugen Logeswaran, Honglak Lee, Dragomir Radev
Modeling the structure of coherent texts is a key NLP problem.
38 code implementations • 17 May 2016 • Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
Automatic synthesis of realistic images from text would be interesting and useful, but current AI systems are still far from this goal.