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08/16/2023
Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval
In this paper, we systematically study the potential of pre-training wit...
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07/18/2023
RepViT: Revisiting Mobile CNN From ViT Perspective
Recently, lightweight Vision Transformers (ViTs) demonstrate superior pe...
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04/05/2023
CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval
Growing techniques have been emerging to improve the performance of pass...
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10/13/2022
RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval
Video language pre-training methods have mainly adopted sparse sampling ...
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10/08/2022
InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings
Contrastive learning has been extensively studied in sentence embedding ...
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08/16/2022
ConTextual Mask Auto-Encoder for Dense Passage Retrieval
Dense passage retrieval aims to retrieve the relevant passages of a quer...
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07/15/2020
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Prior works in cross-lingual named entity recognition (NER) with no/litt...
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06/17/2020
Shallow Feature Based Dense Attention Network for Crowd Counting
While the performance of crowd counting via deep learning has been impro...
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04/26/2020
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
To better tackle the named entity recognition (NER) problem on languages...
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03/08/2020
IMRAM: Iterative Matching with Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
Enabling bi-directional retrieval of images and texts is important for u...
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11/14/2019
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
For languages with no annotated resources, transferring knowledge from r...
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07/12/2019
