Minghan Li | DeepAI

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∙ 02/15/2023

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

Various techniques have been developed in recent years to improve dense ...

0 Sheng-Chieh Lin, et al. ∙

∙ 02/13/2023

Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction

Recent progress in information retrieval finds that embedding query and ...

0 Xinyu Zhang, et al. ∙

∙ 02/13/2023

SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes

This paper introduces a method called Sparsified Late Interaction for Mu...

0 Minghan Li, et al. ∙

∙ 12/13/2022

Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling

Although neural information retrieval has witnessed great improvements, ...

0 Minghan Li, et al. ∙

∙ 11/18/2022

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval

Multi-vector retrieval methods combine the merits of sparse (e.g. BM25) ...

0 Minghan Li, et al. ∙

∙ 10/13/2022

Query Expansion Using Contextual Clue Sampling with Language Models

Query expansion is an effective approach for mitigating vocabulary misma...

0 Linqing Liu, et al. ∙

∙ 07/31/2022

Aggretriever: A Simple Approach to Aggregate Textual Representation for Robust Dense Passage Retrieval

Pre-trained transformers has declared its success in many NLP tasks. One...

0 Sheng-Chieh Lin, et al. ∙

∙ 03/15/2022

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Arbitrary style transfer (AST) and domain generalization (DG) are import...

0 Yabin Zhang, et al. ∙

∙ 03/12/2022

One-stage Video Instance Segmentation: From Frame-in Frame-out to Clip-in Clip-out

Many video instance segmentation (VIS) methods partition a video sequenc...

0 Minghan Li, et al. ∙

∙ 11/18/2021

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval

On a wide range of natural language processing and information retrieval...

0 Minghan Li, et al. ∙

∙ 10/04/2021

Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering

One key feature of dense passage retrievers (DPR) is the use of separate...

0 Minghan Li, et al. ∙

∙ 05/03/2021

SmoothI: Smooth Rank Indicators for Differentiable IR Metrics

Information retrieval (IR) systems traditionally aim to maximize metrics...

0 Thibaut Thonet, et al. ∙

∙ 07/31/2020

Learning to Rank for Active Learning: A Listwise Approach

Active learning emerged as an alternative to alleviate the effort to lab...

0 Minghan Li, et al. ∙

∙ 09/18/2019

A Survey on Rain Removal from Video and Single Image

Rain streaks might severely degenerate the performance of video/image pr...

10 Hong Wang, et al. ∙

∙ 09/13/2019

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding

Video rain/snow removal from surveillance videos is an important task in...

16 Minghan Li, et al. ∙

∙ 12/03/2018

Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling

Knowledge distillation is an effective technique that transfers knowledg...

10 Minghan Li, et al. ∙

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