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20162026
most citedALBERT: A Lite BERT for Self-supervised Learning of Language Representations

984 citations · 2.1k across the 55 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CL2021★ 1 cited

COSMic: A Coherence-Aware Generation Metric for Image Descriptions

Mert İnan, Piyush Sharma, Baber Khalid +3

Developers of text generation models rely on automated evaluation metrics as a stand-in for slow and expensive manual evaluations. However, image captioning metrics have struggled…

cs.LG2021★ 1 cited

H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences

Zhenhai Zhu, Radu Soricut

We describe an efficient hierarchical method to compute attention in the Transformer architecture. The proposed attention mechanism exploits a matrix structure similar to the Hiera…

cs.LG2021★ 11 cited

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning

Nan Ding, Xi Chen, Tomer Levinboim +2

Despite recent advances in its theoretical understanding, there still remains a significant gap in the ability of existing PAC-Bayesian theories on meta-learning to explain perform…

cs.CV2021

2.5D Visual Relationship Detection

Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen +8

Visual 2.5D perception involves understanding the semantics and geometry of a scene through reasoning about object relationships with respect to the viewer in an environment. Howev…

cs.CV2021★ 3 cited

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

Soravit Changpinyo, Piyush Sharma, Nan Ding +1

The availability of large-scale image captioning and visual question answering datasets has contributed significantly to recent successes in vision-and-language pre-training. Howev…

cs.CV2021

Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval

Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari +1

Most existing image retrieval systems use text queries as a way for the user to express what they are looking for. However, fine-grained image retrieval often requires the ability…