244 citations · 966 across the 45 of their papers we have counts for
4 papers · 1 filter
Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding
Shuai Tang, Hailin Jin, Chen Fang +2
Context plays an important role in human language understanding, thus it may also be useful for machines learning vector representations of language. In this paper, we explore an a…
Trimming and Improving Skip-thought Vectors
Shuai Tang, Hailin Jin, Chen Fang +2
The skip-thought model has been proven to be effective at learning sentence representations and capturing sentence semantics. In this paper, we propose a suite of techniques to tri…
Rethinking Skip-thought: A Neighborhood based Approach
Shuai Tang, Hailin Jin, Chen Fang +2
We study the skip-thought model with neighborhood information as weak supervision. More specifically, we propose a skip-thought neighbor model to consider the adjacent sentences as…
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
Michael J. Wilber, Chen Fang, Hailin Jin +3
Computer vision systems are designed to work well within the context of everyday photography. However, artists often render the world around them in ways that do not resemble photo…