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05/23/2023
Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality
Contrastively trained vision-language models have achieved remarkable pr...
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02/21/2023
Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace
Embedding-based Retrieval (EBR) in e-commerce search is a powerful searc...
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10/26/2022
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning
Multimodal tasks in the fashion domain have significant potential for e-...
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03/10/2022
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval
Dual encoders and cross encoders have been widely used for image-text re...
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03/01/2022
Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment
Vision-and-Language (V+L) pre-training models have achieved tremendous s...
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03/30/2020
Cryptocurrency Address Clustering and Labeling
Anonymity is one of the most important qualities of blockchain technolog...
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03/29/2018
Frequent Item-set Mining without Ubiquitous Items
Frequent Item-set Mining (FIM), sometimes called Market Basket Analysis ...
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11/28/2017
An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations
Several factors contribute to the appearance of an object in a visual sc...
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11/17/2017