32 citations · 47 across the 5 of their papers we have counts for
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cs.CL2021
TransAug: Translate as Augmentation for Sentence Embeddings
Jue Wang
While contrastive learning greatly advances the representation of sentence embeddings, it is still limited by the size of the existing sentence datasets. In this paper, we present…
cs.CL2021★ 7 cited
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling
Jue Wang, Haofan Wang, Jincan Deng +2
While large scale pre-training has achieved great achievements in bridging the gap between vision and language, it still faces several challenges. First, the cost for pre-training…
cs.CV2021★ 8 cited
VX2TEXT: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs
Xudong Lin, Gedas Bertasius, Jue Wang +3
We present \textsc{Vx2Text}, a framework for text generation from multimodal inputs consisting of video plus text, speech, or audio. In order to leverage transformer networks, whic…