722 citations · 5.1k across the 126 of their papers we have counts for
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Efficient transfer learning for NLP with ELECTRA
François Mercier
Clark et al. [2020] claims that the ELECTRA approach is highly efficient in NLP performances relative to computation budget. As such, this reproducibility study focus on this claim…
The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries
Atef Chaudhury, Makarand Tapaswi, Seung Wook Kim +1
Understanding stories is a challenging reading comprehension problem for machines as it requires reading a large volume of text and following long-range dependencies. In this paper…
Teaching Machines to Describe Images via Natural Language Feedback
Huan Ling, Sanja Fidler
Robots will eventually be part of every household. It is thus critical to enable algorithms to learn from and be guided by non-expert users. In this paper, we bring a human in the…
Efficient Summarization with Read-Again and Copy Mechanism
Wenyuan Zeng, Wenjie Luo, Sanja Fidler +1
Encoder-decoder models have been widely used to solve sequence to sequence prediction tasks. However current approaches suffer from two shortcomings. First, the encoders compute a…
Skip-Thought Vectors
Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov +4
We describe an approach for unsupervised learning of a generic, distributed sentence encoder. Using the continuity of text from books, we train an encoder-decoder model that tries…