Duyệt Le Duy Dung, PhD theo Năm xuất bản
Hiển thị tài liệu từ 1-5 của 5
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Collaborative Curating for Discovery and Expansion of Visual Clusters
(2021-10)In many visually-oriented applications, users can select and group images that they find interesting into coherent clusters. For instance, we encounter these in the form of hashtags on Instagram, galleries on Flickr, or ... -
Improving transformers with probabilistic attention keys
(2022)Multi-head attention is a driving force behind state-of-the-art transformers, which achieve remarkable performance across a variety of natural language processing (NLP) and computer vision tasks. It has been observed that ... -
Improving transformers with probabilistic attention keys
(2022-06-13)Multi-head attention is a driving force behind state-of-the-art transformers, which achieve remarkable performance across a variety of natural language processing (NLP) and computer vision tasks. It has been observed that ... -
A probabilistic framework for pruning transformers via a finite admixture of keys
(2023-04-11)Pairwise dot product-based self-attention is key to the success of transformers which achieve state-of-the-art performance across a variety of applications in language and vision, but are costly to compute. It has been ... -
Improving Pareto front learning via multi-sample hypernetworks
(2023-04-28)Pareto Front Learning (PFL) was recently introduced as an effective approach to obtain a mapping function from a given trade-off vector to a solution on the Pareto front, which solves the multi-objective optimization (MOO) ...
